diff --git a/code_to_optimize/js/code_to_optimize_js/bubble_sort.js b/code_to_optimize/js/code_to_optimize_js/bubble_sort.js
index fe63d82dc..f7af8d3ce 100644
--- a/code_to_optimize/js/code_to_optimize_js/bubble_sort.js
+++ b/code_to_optimize/js/code_to_optimize_js/bubble_sort.js
@@ -31,26 +31,5 @@ function bubbleSort(arr) {
     return result;
 }
 
-/**
- * Sort an array in descending order.
- * @param {number[]} arr - The array to sort
- * @returns {number[]} - The sorted array in descending order
- */
-function bubbleSortDescending(arr) {
-    const n = arr.length;
-    const result = [...arr];
-
-    for (let i = 0; i < n - 1; i++) {
-        for (let j = 0; j < n - i - 1; j++) {
-            if (result[j] < result[j + 1]) {
-                const temp = result[j];
-                result[j] = result[j + 1];
-                result[j + 1] = temp;
-            }
-        }
-    }
-
-    return result;
-}
 
-module.exports = { bubbleSort, bubbleSortDescending };
+module.exports = { bubbleSort };
diff --git a/code_to_optimize/js/code_to_optimize_js/tests/bubble_sort.test.js b/code_to_optimize/js/code_to_optimize_js/tests/bubble_sort.test.js
index c10ed0aad..b3d3f694d 100644
--- a/code_to_optimize/js/code_to_optimize_js/tests/bubble_sort.test.js
+++ b/code_to_optimize/js/code_to_optimize_js/tests/bubble_sort.test.js
@@ -1,4 +1,4 @@
-const { bubbleSort, bubbleSortDescending } = require('../bubble_sort');
+const { bubbleSort } = require('../bubble_sort');
 
 describe('bubbleSort', () => {
     test('sorts an empty array', () => {
@@ -54,17 +54,3 @@ describe('bubbleSort', () => {
         expect(result[result.length - 1]).toBe(96);
     });
 });
-
-describe('bubbleSortDescending', () => {
-    test('sorts in descending order', () => {
-        expect(bubbleSortDescending([1, 3, 2, 5, 4])).toEqual([5, 4, 3, 2, 1]);
-    });
-
-    test('handles empty array', () => {
-        expect(bubbleSortDescending([])).toEqual([]);
-    });
-
-    test('handles single element', () => {
-        expect(bubbleSortDescending([42])).toEqual([42]);
-    });
-});
diff --git a/codeflash/languages/base.py b/codeflash/languages/base.py
index dea5126f7..dd6f2763c 100644
--- a/codeflash/languages/base.py
+++ b/codeflash/languages/base.py
@@ -956,6 +956,7 @@ def run_behavioral_tests(
         project_root: Path | None = None,
         enable_coverage: bool = False,
         candidate_index: int = 0,
+        test_framework: str | None = None,
     ) -> tuple[Path, Any, Path | None, Path | None]:
         """Run behavioral tests for this language.
 
@@ -967,6 +968,7 @@ def run_behavioral_tests(
             project_root: Project root directory.
             enable_coverage: Whether to collect coverage information.
             candidate_index: Index of the candidate being tested.
+            test_framework: Test framework to use
 
         Returns:
             Tuple of (result_file_path, subprocess_result, coverage_path, config_path).
diff --git a/codeflash/languages/javascript/test_runner.py b/codeflash/languages/javascript/test_runner.py
index e3ade6969..faa061eec 100644
--- a/codeflash/languages/javascript/test_runner.py
+++ b/codeflash/languages/javascript/test_runner.py
@@ -796,6 +796,7 @@ def run_jest_behavioral_tests(
     # Build Jest command
     jest_cmd = [
         "npx",
+        "-y",
         "jest",
         "--reporters=default",
         f"--reporters={CODEFLASH_JEST_REPORTER}",
@@ -1050,6 +1051,7 @@ def run_jest_benchmarking_tests(
     # Build Jest command for performance tests
     jest_cmd = [
         "npx",
+        "-y",
         "jest",
         "--reporters=default",
         f"--reporters={CODEFLASH_JEST_REPORTER}",
@@ -1220,6 +1222,7 @@ def run_jest_line_profile_tests(
     # Build Jest command for line profiling - simple run without benchmarking loops
     jest_cmd = [
         "npx",
+        "-y",
         "jest",
         "--reporters=default",
         f"--reporters={CODEFLASH_JEST_REPORTER}",
diff --git a/mcp_server/__init__.py b/mcp_server/__init__.py
new file mode 100644
index 000000000..e69de29bb
diff --git a/mcp_server/db.py b/mcp_server/db.py
new file mode 100644
index 000000000..1b74dd3d4
--- /dev/null
+++ b/mcp_server/db.py
@@ -0,0 +1,219 @@
+from __future__ import annotations
+
+import contextlib
+import json
+import os
+import pickle
+import sqlite3
+from datetime import datetime, timezone
+from pathlib import Path
+from typing import Any
+
+from codeflash.models.models import FunctionTestInvocation, InvocationId, TestResults
+from codeflash.models.test_type import TestType
+
+_DEFAULT_DB_PATH = Path.home() / ".codeflash" / "mcp_results.db"
+
+
+def get_db_path() -> Path:
+    path = Path(os.environ.get("CODEFLASH_MCP_DB_PATH", str(_DEFAULT_DB_PATH)))
+    path.parent.mkdir(parents=True, exist_ok=True)
+    return path
+
+
+def get_connection() -> sqlite3.Connection:
+    db_path = get_db_path()
+    conn = sqlite3.connect(str(db_path))
+    conn.execute("PRAGMA journal_mode=WAL")
+    conn.execute("PRAGMA foreign_keys=ON")
+    _create_tables(conn)
+    return conn
+
+
+def _create_tables(conn: sqlite3.Connection) -> None:
+    conn.executescript("""
+        CREATE TABLE IF NOT EXISTS runs (
+            run_id TEXT PRIMARY KEY,
+            run_type TEXT NOT NULL,
+            created_at TEXT NOT NULL,
+            project_root TEXT NOT NULL,
+            test_files TEXT NOT NULL,
+            best_summed_runtime_ns INTEGER,
+            total_tests INTEGER,
+            passed INTEGER,
+            failed INTEGER,
+            loops_executed INTEGER,
+            raw_stdout TEXT,
+            raw_stderr TEXT
+        );
+
+        CREATE TABLE IF NOT EXISTS test_invocations (
+            id INTEGER PRIMARY KEY AUTOINCREMENT,
+            run_id TEXT NOT NULL REFERENCES runs(run_id),
+            test_module_path TEXT,
+            test_class_name TEXT,
+            test_function_name TEXT,
+            function_getting_tested TEXT,
+            loop_index INTEGER,
+            iteration_id TEXT,
+            runtime_ns INTEGER,
+            return_value BLOB,
+            verification_type TEXT,
+            did_pass INTEGER NOT NULL,
+            timed_out INTEGER DEFAULT 0,
+            error_message TEXT,
+            stdout TEXT,
+            test_type TEXT
+        );
+    """)
+    conn.commit()
+
+
+def store_run(
+    conn: sqlite3.Connection,
+    run_id: str,
+    run_type: str,
+    project_root: str,
+    test_files: list[str],
+    test_results: TestResults,
+    raw_stdout: str = "",
+    raw_stderr: str = "",
+) -> None:
+    best_summed_runtime_ns = test_results.total_passed_runtime() if test_results else 0
+    total_tests = len(test_results)
+    passed = sum(1 for r in test_results if r.did_pass)
+    failed = total_tests - passed
+    loops_executed = test_results.effective_loop_count() if test_results else 0
+
+    conn.execute(
+        "INSERT INTO runs (run_id, run_type, created_at, project_root, test_files, "
+        "best_summed_runtime_ns, total_tests, passed, failed, loops_executed, raw_stdout, raw_stderr) "
+        "VALUES (?, ?, ?, ?, ?, ?, ?, ?, ?, ?, ?, ?)",
+        (
+            run_id,
+            run_type,
+            datetime.now(timezone.utc).isoformat(),
+            project_root,
+            json.dumps(test_files),
+            best_summed_runtime_ns,
+            total_tests,
+            passed,
+            failed,
+            loops_executed,
+            raw_stdout,
+            raw_stderr,
+        ),
+    )
+
+    for invocation in test_results:
+        return_value_blob = None
+        if invocation.return_value is not None:
+            with contextlib.suppress(Exception):
+                return_value_blob = pickle.dumps(invocation.return_value)
+
+        conn.execute(
+            "INSERT INTO test_invocations (run_id, test_module_path, test_class_name, "
+            "test_function_name, function_getting_tested, loop_index, iteration_id, "
+            "runtime_ns, return_value, verification_type, did_pass, timed_out, error_message, stdout, test_type) "
+            "VALUES (?, ?, ?, ?, ?, ?, ?, ?, ?, ?, ?, ?, ?, ?, ?)",
+            (
+                run_id,
+                invocation.id.test_module_path,
+                invocation.id.test_class_name,
+                invocation.id.test_function_name,
+                invocation.id.function_getting_tested,
+                invocation.loop_index,
+                invocation.id.iteration_id,
+                invocation.runtime,
+                return_value_blob,
+                invocation.verification_type,
+                int(invocation.did_pass),
+                int(invocation.timed_out or False),
+                None,
+                invocation.stdout,
+                invocation.test_type.value if invocation.test_type else None,
+            ),
+        )
+    conn.commit()
+
+
+def load_test_results(conn: sqlite3.Connection, run_id: str) -> TestResults:
+    rows = conn.execute(
+        "SELECT test_module_path, test_class_name, test_function_name, function_getting_tested, "
+        "loop_index, iteration_id, runtime_ns, return_value, verification_type, did_pass, "
+        "timed_out, error_message, stdout, test_type FROM test_invocations WHERE run_id = ?",
+        (run_id,),
+    ).fetchall()
+
+    test_results = TestResults()
+    for row in rows:
+        (
+            test_module_path,
+            test_class_name,
+            test_function_name,
+            function_getting_tested,
+            loop_index,
+            iteration_id,
+            runtime_ns,
+            return_value_blob,
+            verification_type,
+            did_pass,
+            timed_out,
+            _,
+            stdout,
+            test_type_str,
+        ) = row
+
+        return_value = None
+        if return_value_blob is not None:
+            with contextlib.suppress(Exception):
+                return_value = pickle.loads(return_value_blob)
+
+        try:
+            test_type = TestType(int(test_type_str)) if test_type_str else TestType.EXISTING_UNIT_TEST
+        except (ValueError, TypeError):
+            test_type = TestType.EXISTING_UNIT_TEST
+
+        test_results.add(
+            FunctionTestInvocation(
+                loop_index=loop_index or 1,
+                id=InvocationId(
+                    test_module_path=test_module_path or "",
+                    test_class_name=test_class_name,
+                    test_function_name=test_function_name or "",
+                    function_getting_tested=function_getting_tested or "",
+                    iteration_id=iteration_id,
+                ),
+                file_name=Path("unknown"),
+                did_pass=bool(did_pass),
+                runtime=runtime_ns,
+                test_framework="pytest",
+                test_type=test_type,
+                return_value=return_value,
+                timed_out=bool(timed_out),
+                verification_type=verification_type,
+                stdout=stdout,
+            )
+        )
+    return test_results
+
+
+def load_run_metadata(conn: sqlite3.Connection, run_id: str) -> dict[str, Any] | None:
+    row = conn.execute(
+        "SELECT run_type, created_at, project_root, test_files, best_summed_runtime_ns, "
+        "total_tests, passed, failed, loops_executed FROM runs WHERE run_id = ?",
+        (run_id,),
+    ).fetchone()
+    if row is None:
+        return None
+    return {
+        "run_type": row[0],
+        "created_at": row[1],
+        "project_root": row[2],
+        "test_files": json.loads(row[3]),
+        "best_summed_runtime_ns": row[4],
+        "total_tests": row[5],
+        "passed": row[6],
+        "failed": row[7],
+        "loops_executed": row[8],
+    }
diff --git a/mcp_server/models.py b/mcp_server/models.py
new file mode 100644
index 000000000..cb3f75302
--- /dev/null
+++ b/mcp_server/models.py
@@ -0,0 +1,64 @@
+from __future__ import annotations
+
+from dataclasses import dataclass, field
+
+
+@dataclass
+class TestInvocationResult:
+    test_module_path: str
+    test_class_name: str | None
+    test_function_name: str
+    function_getting_tested: str | None
+    loop_index: int
+    iteration_id: str | None
+    runtime_ns: int | None
+    did_pass: bool
+    timed_out: bool = False
+    error_message: str | None = None
+
+
+@dataclass
+class BehavioralRunResult:
+    run_id: str
+    total_tests: int
+    passed: int
+    failed: int
+    best_summed_runtime_ns: int
+    test_results: list[TestInvocationResult]
+    errors: list[str] = field(default_factory=list)
+
+
+@dataclass
+class CompareResult:
+    equivalent: bool
+    total_compared: int
+    diffs: list[DiffEntry] = field(default_factory=list)
+
+
+@dataclass
+class DiffEntry:
+    scope: str
+    test_name: str
+    original_value: str
+    candidate_value: str
+    original_passed: bool
+    candidate_passed: bool
+
+
+@dataclass
+class SpeedupInfo:
+    baseline_run_id: str
+    baseline_runtime_ns: int
+    candidate_runtime_ns: int
+    performance_gain: float
+    speedup_x: str
+    speedup_pct: str
+
+
+@dataclass
+class BenchmarkRunResult:
+    run_id: str
+    best_summed_runtime_ns: int
+    loops_executed: int
+    test_results: list[TestInvocationResult]
+    speedup: SpeedupInfo | None = None
diff --git a/mcp_server/runner.py b/mcp_server/runner.py
new file mode 100644
index 000000000..34dd3b2f1
--- /dev/null
+++ b/mcp_server/runner.py
@@ -0,0 +1,284 @@
+from __future__ import annotations
+
+import inspect
+from enum import Enum
+from pathlib import Path
+from typing import TYPE_CHECKING
+
+from codeflash.code_utils.shell_utils import make_env_with_project_root
+
+if TYPE_CHECKING:
+    import subprocess
+
+    from codeflash.models.models import TestFiles, TestResults
+    from codeflash.verification.verification_utils import TestConfig
+
+
+class TestingMode(str, Enum):
+    BEHAVIORAL = "behavioral"
+    BENCHMARKING = "benchmarking"
+
+
+def build_test_env(project_root: Path) -> dict[str, str]:
+    env = make_env_with_project_root(project_root)
+    env["CODEFLASH_TEST_ITERATION"] = "0"
+    env["CODEFLASH_TRACER_DISABLE"] = "1"
+    env["CODEFLASH_LOOP_INDEX"] = "0"
+    if "PYTHONHASHSEED" not in env:
+        env["PYTHONHASHSEED"] = "0"
+    return env
+
+
+def _build_test_files(test_file_paths: list[str], mode: TestingMode) -> TestFiles:
+    from codeflash.models.models import TestFile, TestFiles
+    from codeflash.models.test_type import TestType
+
+    test_files_objs = []
+    for path_str in test_file_paths:
+        p = Path(path_str).resolve()
+        test_files_objs.append(
+            TestFile(
+                instrumented_behavior_file_path=p,
+                benchmarking_file_path=p if mode == TestingMode.BENCHMARKING else None,
+                original_file_path=p,
+                test_type=TestType.EXISTING_UNIT_TEST,
+            )
+        )
+    return TestFiles(test_files=test_files_objs)
+
+
+def _build_test_config(project_root: Path, tests_dir: Path | None = None) -> TestConfig:
+    from codeflash.verification.verification_utils import TestConfig
+
+    effective_tests_dir = tests_dir or project_root
+    return TestConfig(tests_root=effective_tests_dir, project_root_path=project_root, tests_project_rootdir=effective_tests_dir)
+
+
+def _build_fallback_function_to_optimize(module_path: Path, function_name: str, language: str):
+    from codeflash.models.function_types import FunctionParent, FunctionToOptimize
+
+    qualified_name_parts = function_name.split(".")
+    simple_name = qualified_name_parts[-1]
+    parents = [FunctionParent(name=part, type="ClassDef") for part in qualified_name_parts[:-1]]
+    return FunctionToOptimize(
+        function_name=simple_name,
+        file_path=module_path,
+        parents=parents,
+        is_method=bool(parents),
+        language=language,
+    )
+
+
+def _resolve_function_to_optimize(lang_support: object, module_path: str, function_name: str, language: str):
+    from codeflash.languages.base import FunctionFilterCriteria
+
+    source_path = Path(module_path).resolve()
+    fallback = _build_fallback_function_to_optimize(source_path, function_name, language)
+
+    try:
+        source = source_path.read_text(encoding="utf-8")
+    except OSError:
+        return fallback
+
+    criteria = FunctionFilterCriteria(require_return=False, require_export=False)
+    discovered_functions = lang_support.discover_functions(source, source_path, criteria)
+    if not discovered_functions:
+        return fallback
+
+    requested_name = function_name.rsplit(".", 1)[-1]
+
+    qualified_matches = [func for func in discovered_functions if func.qualified_name == function_name]
+    if len(qualified_matches) == 1:
+        return qualified_matches[0]
+
+    top_level_matches = [func for func in discovered_functions if func.qualified_name == requested_name]
+    if len(top_level_matches) == 1:
+        return top_level_matches[0]
+
+    simple_matches = [func for func in discovered_functions if func.function_name == requested_name]
+    if len(simple_matches) == 1:
+        return simple_matches[0]
+
+    return fallback
+
+
+def _find_call_positions(test_path: Path, function_name: str, language: str) -> list:
+    """Scan a Python test file's AST to find all call sites of the target function."""
+    import ast
+
+    from codeflash.models.models import CodePosition
+
+    if language != "python":
+        return []
+
+    try:
+        source = test_path.read_text(encoding="utf-8")
+        tree = ast.parse(source)
+    except (SyntaxError, OSError):
+        return []
+
+    positions: list[CodePosition] = []
+    for node in ast.walk(tree):
+        if not isinstance(node, ast.Call):
+            continue
+        func = node.func
+        # Direct call: function_name(...)
+        if (isinstance(func, ast.Name) and func.id == function_name) or (isinstance(func, ast.Attribute) and func.attr == function_name):
+            positions.append(CodePosition(line_no=node.lineno, col_no=node.col_offset))
+
+    return positions
+
+
+def _invoke_with_optional_test_framework(run_callable: object, *, test_framework: str | None = None, **kwargs: object):
+    try:
+        if test_framework is not None and "test_framework" in inspect.signature(run_callable).parameters:
+            kwargs["test_framework"] = test_framework
+    except (TypeError, ValueError):
+        pass
+    return run_callable(**kwargs)
+
+
+class _InstrumentedFiles:
+    """Context manager that instruments test files in-place and restores originals on exit."""
+
+    def __init__(
+        self,
+        test_file_paths: list[str],
+        function_name: str,
+        module_path: str,
+        project_root: Path,
+        language: str,
+        mode: TestingMode,
+    ) -> None:
+        self.test_file_paths = test_file_paths
+        self.function_name = function_name
+        self.module_path = module_path
+        self.project_root = project_root
+        self.language = language
+        self.mode = mode
+        self._backups: dict[Path, str] = {}
+
+    def __enter__(self) -> list[str]:
+        from codeflash.languages.current import set_current_language
+        from codeflash.languages.registry import get_language_support
+
+        set_current_language(self.language)
+        lang_support = get_language_support(self.language)
+
+        func_to_optimize = _resolve_function_to_optimize(
+            lang_support=lang_support,
+            module_path=self.module_path,
+            function_name=self.function_name,
+            language=self.language,
+        )
+
+        instrument_mode = "behavior" if self.mode == TestingMode.BEHAVIORAL else "performance"
+
+        instrumented_paths: list[str] = []
+        for test_file in self.test_file_paths:
+            test_path = Path(test_file).resolve()
+
+            call_positions = _find_call_positions(test_path, func_to_optimize.function_name, self.language)
+            if self.language == "python" and not call_positions:
+                instrumented_paths.append(test_file)
+                continue
+
+            success, code = lang_support.instrument_existing_test(
+                test_path=test_path,
+                call_positions=call_positions,
+                function_to_optimize=func_to_optimize,
+                tests_project_root=self.project_root,
+                mode=instrument_mode,
+            )
+
+            if success and code:
+                self._backups[test_path] = test_path.read_text(encoding="utf-8")
+                test_path.write_text(code, encoding="utf-8")
+                instrumented_paths.append(str(test_path))
+            else:
+                instrumented_paths.append(test_file)
+
+        return instrumented_paths
+
+    def __exit__(self, *_exc: object) -> None:
+        for path, original_content in self._backups.items():
+            path.write_text(original_content, encoding="utf-8")
+        self._backups.clear()
+
+
+def run_and_parse(
+    mode: TestingMode,
+    test_files: list[str],
+    project_root: Path,
+    language: str,
+    timeout: int = 300,
+    min_loops: int = 1,
+    max_loops: int = 1,
+    target_duration_seconds: float = 0.5,
+    function_name: str | None = None,
+    module_path: str | None = None,
+    test_framework: str | None = None,
+) -> tuple[TestResults, subprocess.CompletedProcess[str]]:
+    from codeflash.languages.current import set_current_language
+    from codeflash.languages.registry import get_language_support
+    from codeflash.verification.parse_test_output import parse_test_results
+
+    set_current_language(language)
+    lang_support = get_language_support(language)
+
+    test_env = build_test_env(project_root)
+    test_config = _build_test_config(project_root)
+
+    def _execute(effective_files: list[str]) -> tuple[TestResults, subprocess.CompletedProcess[str]]:
+        test_files_obj = _build_test_files(effective_files, mode)
+
+        if mode == TestingMode.BEHAVIORAL:
+            result_file_path, run_result, _, _ = _invoke_with_optional_test_framework(
+                lang_support.run_behavioral_tests,
+                test_framework=test_framework,
+                test_paths=test_files_obj,
+                test_env=test_env,
+                cwd=project_root,
+                timeout=timeout,
+                project_root=project_root,
+            )
+        else:
+            result_file_path, run_result = _invoke_with_optional_test_framework(
+                lang_support.run_benchmarking_tests,
+                test_framework=test_framework,
+                test_paths=test_files_obj,
+                test_env=test_env,
+                cwd=project_root,
+                timeout=timeout,
+                project_root=project_root,
+                min_loops=min_loops,
+                max_loops=max_loops,
+                target_duration_seconds=target_duration_seconds,
+            )
+
+        test_results, _ = parse_test_results(
+            test_xml_path=result_file_path,
+            test_files=test_files_obj,
+            test_config=test_config,
+            optimization_iteration=0,
+            function_name=function_name,
+            source_file=Path(module_path) if module_path else None,
+            coverage_database_file=None,
+            coverage_config_file=None,
+            run_result=run_result,
+        )
+
+        return test_results, run_result
+
+    if function_name and module_path:
+        with _InstrumentedFiles(
+            test_file_paths=test_files,
+            function_name=function_name,
+            module_path=module_path,
+            project_root=project_root,
+            language=language,
+            mode=mode,
+        ) as effective_files:
+            return _execute(effective_files)
+    else:
+        return _execute(test_files)
diff --git a/mcp_server/server.py b/mcp_server/server.py
new file mode 100644
index 000000000..422adb0bd
--- /dev/null
+++ b/mcp_server/server.py
@@ -0,0 +1,168 @@
+from __future__ import annotations
+
+from typing import Any
+
+from fastmcp import FastMCP
+
+mcp = FastMCP(
+    "codeflash-mcp",
+    instructions="Run behavioral tests, compare results, and benchmark performance for code optimization.",
+)
+
+
+@mcp.tool()
+def run_behavioral_tests(
+    test_files: list[str],
+    project_root: str,
+    language: str = "python",
+    timeout: int = 300,
+    run_id: str | None = None,
+    function_name: str | None = None,
+    module_path: str | None = None,
+    test_framework: str | None = None,
+) -> dict[str, Any]:
+    """Run tests and capture function return values + timing for each test invocation.
+
+    Dispatches to the language-specific test runner (pytest for Python, jest/vitest for JS/TS,
+    Maven/Gradle for Java). When function_name and module_path are provided, the tool
+    instruments test files before execution — injecting timing + return-value capture code
+    around calls to the target function. Without these, tests run as-is (pass/fail only,
+    no deep return value capture unless the test files are already instrumented).
+
+    Use this to capture a behavioral baseline before optimizing, then again after optimizing
+    to verify output equivalence via compare_test_results.
+
+    Args:
+        test_files: Absolute paths to test files. Must be absolute, not relative.
+        project_root: Absolute path to project root (added to PYTHONPATH/equivalent).
+        language: Project language — determines which test runner is invoked.
+        timeout: Max seconds before the subprocess is killed.
+        run_id: Identifier for this run. Use descriptive IDs like "baseline-exp-1". Auto-generated UUID if omitted.
+        function_name: Name of the function being optimized. When provided with module_path, enables automatic instrumentation of test files to capture return values and precise timing.
+        module_path: Absolute path to the source file containing the function being optimized. Required together with function_name for instrumentation.
+        test_framework: Optional test framework override. If omitted, codeflash will try to detect the framework automatically. For Python, the supported value is `pytest`. For JavaScript/TypeScript, supported values are `jest`, `vitest`, and `mocha`. For Java and Go, leave this unset because it is not used.
+
+    Returns:
+        run_id, total_tests, passed, failed, best_summed_runtime_ns, test_results (per-test detail), errors.
+
+    """
+    from mcp_server.tools.behavioral import run_behavioral_tests as impl
+
+    return impl(
+        test_files=test_files,
+        project_root=project_root,
+        language=language,
+        timeout=timeout,
+        run_id=run_id,
+        function_name=function_name,
+        module_path=module_path,
+        test_framework=test_framework,
+    )
+
+
+@mcp.tool()
+def compare_test_results(original_run_id: str, candidate_run_id: str, pass_fail_only: bool = False) -> dict[str, Any]:
+    """Deep-compare return values and pass/fail status between two behavioral test runs.
+
+    Loads both runs from the persistent DB, matches test invocations by identity
+    (module + class + function + iteration), then compares using codeflash's deep comparator
+    which handles numpy arrays, pandas DataFrames, torch tensors, floating-point tolerance,
+    and nested structures. This is NOT simple equality — it catches semantic differences that
+    repr() would hide (e.g., int vs float, array dtype mismatches).
+
+    Use this after running behavioral tests on both original and optimized code to verify
+    the optimization preserves correctness. If equivalent is false, the diffs tell you exactly
+    which test produced different output.
+
+    Args:
+        original_run_id: Run ID of the baseline run (before optimization).
+        candidate_run_id: Run ID of the candidate run (after optimization).
+        pass_fail_only: If true, only compare pass/fail status — skip return value comparison. Use when the function intentionally changes output format but not correctness.
+
+    Returns:
+        equivalent (bool), total_compared (int), diffs (list of {scope, test_name, original_value, candidate_value, original_passed, candidate_passed}).
+
+    """
+    from mcp_server.tools.compare import compare_test_results as impl
+
+    return impl(original_run_id=original_run_id, candidate_run_id=candidate_run_id, pass_fail_only=pass_fail_only)
+
+
+@mcp.tool()
+def run_benchmarking_tests(
+    test_files: list[str],
+    project_root: str,
+    language: str = "python",
+    timeout: int = 300,
+    min_loops: int = 5,
+    max_loops: int = 100_000,
+    target_duration_seconds: float = 10.0,
+    run_id: str | None = None,
+    baseline_run_id: str | None = None,
+    function_name: str | None = None,
+    module_path: str | None = None,
+    test_framework: str | None = None,
+) -> dict[str, Any]:
+    """Run tests in multi-loop mode for stable timing, then compute speedup against a baseline.
+
+    Dispatches to the language-specific test runner with benchmarking parameters. Each test
+    function runs repeatedly (starting at min_loops, doubling until max_loops or
+    target_duration_seconds is reached). Stability checks detect timing variance and add
+    iterations to converge. The final runtime is the sum of the minimum time per test case
+    across all loops — this filters out GC jitter and OS scheduling noise.
+
+    When function_name and module_path are provided, the tool instruments test files with
+    performance-mode capture code (precise nanosecond timing around target function calls,
+    no return value serialization overhead). Without these, tests must already contain
+    timing markers (e.g., codeflash_wrap calls) for the timing data to be captured.
+
+    If baseline_run_id is provided, computes:
+      performance_gain = (baseline_ns - candidate_ns) / candidate_ns
+      speedup_x = gain + 1 (e.g., 2.000x means twice as fast)
+      speedup_pct = gain * 100 (e.g., 100.0% means twice as fast)
+
+    Use this after correctness is verified via compare_test_results. The speedup field gives
+    the authoritative performance measurement for the optimization.
+
+    Args:
+        test_files: Absolute paths to test files. Must exercise the optimized function with representative inputs.
+        project_root: Absolute path to project root.
+        language: Project language — determines which test runner is invoked.
+        timeout: Max seconds for the entire benchmark run. Increase for slow functions or high max_loops.
+        min_loops: Minimum iterations per test. Higher = more stable but slower.
+        max_loops: Maximum iterations. The runner stops early if target_duration_seconds is reached first.
+        target_duration_seconds: Target wall-clock time. The runner doubles loops until this is reached.
+        run_id: Identifier for this benchmark run. Auto-generated if omitted.
+        baseline_run_id: Run ID of a previous benchmark to compare against. Omit for baseline capture.
+        function_name: Name of the function being benchmarked. When provided with module_path, enables automatic instrumentation with performance-mode timing capture.
+        module_path: Absolute path to the source file containing the function. Required together with function_name.
+        test_framework: Optional test framework override. If omitted, codeflash will try to detect the framework automatically. For Python, the supported value is `pytest`. For JavaScript/TypeScript, supported values are `jest`, `vitest`, and `mocha`. For Java and Go, leave this unset because it is not used.
+
+    Returns:
+        run_id, best_summed_runtime_ns, loops_executed, test_results, speedup (null if no baseline_run_id).
+
+    """
+    from mcp_server.tools.benchmarking import run_benchmarking_tests as impl
+
+    return impl(
+        test_files=test_files,
+        project_root=project_root,
+        language=language,
+        timeout=timeout,
+        min_loops=min_loops,
+        max_loops=max_loops,
+        target_duration_seconds=target_duration_seconds,
+        run_id=run_id,
+        baseline_run_id=baseline_run_id,
+        function_name=function_name,
+        module_path=module_path,
+        test_framework=test_framework,
+    )
+
+
+def main() -> None:
+    mcp.run()
+
+
+if __name__ == "__main__":
+    main()
diff --git a/mcp_server/test_mcp_workflow.py b/mcp_server/test_mcp_workflow.py
new file mode 100644
index 000000000..ba6047705
--- /dev/null
+++ b/mcp_server/test_mcp_workflow.py
@@ -0,0 +1,215 @@
+"""End-to-end test of the codeflash-mcp workflow.
+
+Tests the full cycle: behavioral baseline → optimize → behavioral candidate → compare → benchmark.
+Uses code_to_optimize/bubble_sort.py as the target function.
+"""
+
+import sys
+import uuid
+from pathlib import Path
+
+PROJECT_ROOT = Path(__file__).parent.parent.resolve()
+CODE_DIR = PROJECT_ROOT / "code_to_optimize"
+
+
+
+def get_e2e_test_config_by_language(language: str) -> dict[str, str]:
+    if language == "python":
+        return {
+            "language": language,
+            "test_file": str(CODE_DIR / "tests/pytest/test_bubble_sort.py"),
+            "module_path": str(CODE_DIR / "bubble_sort.py"),
+            "function_name": "sorter",
+            "root": str(CODE_DIR),
+            "optimized_code": "def sorter(arr):\n    return sorted(arr)",
+        }
+    if language == "javascript":
+        return {
+            "language": language,
+            "test_file": str(CODE_DIR / "js/code_to_optimize_js/tests/bubble_sort.test.js"),
+            "module_path": str(CODE_DIR / "js/code_to_optimize_js/bubble_sort.js"),
+            "function_name": "bubbleSort",
+            "root": str(CODE_DIR / "js/code_to_optimize_js"),
+            "optimized_code": """/**
+ * Bubble sort implementation - heavily optimized.
+ */
+
+/**
+ * Sort an array.
+ * @param {number[]} arr - The array to sort
+ * @returns {number[]} - The sorted array
+ */
+function bubbleSort(arr) {
+    // V8 native sort is highly optimized in C++
+    return arr.slice().sort((a, b) => a - b);
+}
+
+module.exports = { bubbleSort };
+""",
+        }
+    return None
+
+
+
+def doTest(config: dict[str, str]) -> int:
+    print("===========================================================")
+    print("*"* 10 + config["language"] + "*"* 10)
+    print("===========================================================")
+    run_id = "e2e-test-" + str(uuid.uuid4())
+    from mcp_server.tools.behavioral import run_behavioral_tests
+    from mcp_server.tools.benchmarking import run_benchmarking_tests
+    from mcp_server.tools.compare import compare_test_results
+
+    original_code = Path(config["module_path"]).read_text(encoding="utf-8")
+
+    # ── Step 1: Run behavioral baseline (original code) ──────────
+    print("\n[1] Running behavioral tests (baseline)...")
+    baseline = run_behavioral_tests(
+        test_files=[config["test_file"]],
+        project_root=config["root"],
+        language=config["language"],
+        timeout=60,
+        run_id=run_id,
+        function_name=config["function_name"],
+        module_path=config["module_path"],
+    )
+    print(f"    run_id:      {baseline['run_id']}")
+    print(f"    total_tests: {baseline['total_tests']}")
+    print(f"    passed:      {baseline['passed']}")
+    print(f"    failed:      {baseline['failed']}")
+    print(f"    runtime_ns:  {baseline['best_summed_runtime_ns']}")
+    if baseline["errors"]:
+        print(f"    errors:      {baseline['errors'][:3]}")
+
+    if baseline["passed"] == 0:
+        print("\n    FAIL: No tests passed in baseline. Check instrumentation.")
+        return 1
+
+    # ── Step 2: Benchmark baseline (original code) ───────────────
+    print("\n[2] Running benchmark (baseline, original code)...")
+    bench_baseline = run_benchmarking_tests(
+        test_files=[config["test_file"]],
+        project_root=config["root"],
+        language=config["language"],
+        timeout=60,
+        min_loops=3,
+        max_loops=10,
+        target_duration_seconds=2.0,
+        run_id=run_id + "-bench-baseline",
+        function_name=config["function_name"],
+        module_path=config["module_path"],
+    )
+    print(f"    run_id:         {bench_baseline['run_id']}")
+    print(f"    total_runtime:  {bench_baseline['best_summed_runtime_ns']}ns")
+    print(f"    loops_executed: {bench_baseline['loops_executed']}")
+
+    if bench_baseline["best_summed_runtime_ns"] == 0:
+        print("\n    FAIL: Benchmark baseline produced 0 runtime.")
+        return 1
+
+    # ── Step 3: Apply optimization ───────────────────────────────
+    print("\n[3] Applying optimization to bubble_sort.py...")
+    Path(config["module_path"]).write_text(config["optimized_code"], encoding="utf-8")
+    print(f"    module: {config['module_path']} (optimized in-place)")
+
+    # ── Step 4: Run behavioral candidate (optimized code) ────────
+    print("\n[4] Running behavioral tests (candidate)...")
+    candidate = run_behavioral_tests(
+        test_files=[config["test_file"]],
+        project_root=config["root"],
+        language=config["language"],
+        timeout=60,
+        run_id=run_id + "-candidate",
+        function_name=config["function_name"],
+        module_path=config["module_path"],
+    )
+    print(f"    run_id:      {candidate['run_id']}")
+    print(f"    total_tests: {candidate['total_tests']}")
+    print(f"    passed:      {candidate['passed']}")
+    print(f"    failed:      {candidate['failed']}")
+    print(f"    runtime_ns:  {candidate['best_summed_runtime_ns']}")
+
+    if candidate["passed"] == 0:
+        print("\n    FAIL: No tests passed in candidate.")
+        return 1
+
+    # ── Step 5: Compare results ──────────────────────────────────
+    print("\n[5] Comparing baseline vs candidate...")
+    comparison = compare_test_results(
+        original_run_id=run_id,
+        candidate_run_id=run_id + "-candidate",
+    )
+    print(f"    equivalent:     {comparison['equivalent']}")
+    print(f"    total_compared: {comparison['total_compared']}")
+    if comparison["diffs"]:
+        print(f"    diffs:          {comparison['diffs'][:3]}")
+
+    # ── Step 6: Benchmark candidate with speedup ─────────────────
+    print("\n[6] Running benchmark (candidate, optimized code)...")
+    bench_candidate = run_benchmarking_tests(
+        test_files=[config["test_file"]],
+        project_root=config["root"],
+        language=config["language"],
+        timeout=60,
+        min_loops=3,
+        max_loops=10,
+        target_duration_seconds=2.0,
+        run_id=run_id + "-bench-candidate",
+        baseline_run_id=run_id + "-bench-baseline",
+        function_name=config["function_name"],
+        module_path=config["module_path"],
+    )
+    print(f"    run_id:         {bench_candidate['run_id']}")
+    print(f"    total_runtime:  {bench_candidate['best_summed_runtime_ns']}ns")
+    print(f"    loops_executed: {bench_candidate['loops_executed']}")
+
+    if bench_candidate.get("speedup"):
+        sp = bench_candidate["speedup"]
+        print(f"    speedup_x:      {sp['speedup_x']}")
+        print(f"    speedup_pct:    {sp['speedup_pct']}")
+        print(f"    baseline_ns:    {sp['baseline_runtime_ns']}")
+        print(f"    candidate_ns:   {sp['candidate_runtime_ns']}")
+    else:
+        print("    speedup:        None (could not compute)")
+
+    # ── Cleanup: restore original source ───────────────────────────
+    Path(config["module_path"]).write_text(original_code, encoding="utf-8")
+
+    # ── Summary ──────────────────────────────────────────────────
+    print("\n" + "=" * 60)
+    print("RESULTS SUMMARY")
+    print("=" * 60)
+    print(f"  Baseline:   {baseline['passed']}/{baseline['total_tests']} passed")
+    print(f"  Candidate:  {candidate['passed']}/{candidate['total_tests']} passed")
+    print(f"  Equivalent: {comparison['equivalent']}")
+    print(f"  Benchmark baseline:  {bench_baseline['best_summed_runtime_ns'] / 1e6:.2f}ms")
+    print(f"  Benchmark candidate: {bench_candidate['best_summed_runtime_ns'] / 1e6:.2f}ms")
+    if bench_candidate.get("speedup"):
+        print(f"  Speedup:    {bench_candidate['speedup']['speedup_x']}")
+
+    all_passed = (
+        baseline["passed"] > 0
+        and candidate["passed"] > 0
+        and comparison["equivalent"]
+        and bench_baseline["best_summed_runtime_ns"] > 0
+        and bench_candidate["best_summed_runtime_ns"] > 0
+    )
+    print(f"\n  Overall: {'PASS' if all_passed else 'FAIL'}")
+    return 0 if all_passed else 1
+
+def main() -> int:
+    print("=" * 60)
+    print("MCP WORKFLOW TEST")
+    print("=" * 60)
+    print("\n")
+    langs = ["python", "javascript"]
+    for lang in langs:
+        exit_code = doTest(get_e2e_test_config_by_language(lang))
+        if exit_code != 0:
+            return exit_code
+    return 0
+
+
+
+if __name__ == "__main__":
+    sys.exit(main())
diff --git a/mcp_server/tools/__init__.py b/mcp_server/tools/__init__.py
new file mode 100644
index 000000000..e69de29bb
diff --git a/mcp_server/tools/behavioral.py b/mcp_server/tools/behavioral.py
new file mode 100644
index 000000000..5b32840e2
--- /dev/null
+++ b/mcp_server/tools/behavioral.py
@@ -0,0 +1,102 @@
+from __future__ import annotations
+
+import uuid
+from pathlib import Path
+from typing import Any
+
+from mcp_server.db import get_connection, store_run
+from mcp_server.models import BehavioralRunResult, TestInvocationResult
+from mcp_server.runner import TestingMode, run_and_parse
+
+
+def run_behavioral_tests(
+    test_files: list[str],
+    project_root: str,
+    language: str = "python",
+    timeout: int = 300,
+    run_id: str | None = None,
+    function_name: str | None = None,
+    module_path: str | None = None,
+    test_framework: str | None = None,
+) -> dict[str, Any]:
+    run_id = run_id or str(uuid.uuid4())
+    project_root_path = Path(project_root).resolve()
+
+    test_results, run_result = run_and_parse(
+        mode=TestingMode.BEHAVIORAL,
+        test_files=test_files,
+        project_root=project_root_path,
+        language=language,
+        timeout=timeout,
+        min_loops=1,
+        max_loops=1,
+        target_duration_seconds=0.5,  # not used in behavioral mode
+        function_name=function_name,
+        module_path=module_path,
+        test_framework=test_framework,
+    )
+
+    conn = get_connection()
+    try:
+        store_run(
+            conn=conn,
+            run_id=run_id,
+            run_type="behavioral",
+            project_root=project_root,
+            test_files=test_files,
+            test_results=test_results,
+            raw_stdout=run_result.stdout or "",
+            raw_stderr=run_result.stderr or "",
+        )
+    finally:
+        conn.close()
+
+    invocation_results = []
+    errors = []
+    for inv in test_results:
+        invocation_results.append(
+            TestInvocationResult(
+                test_module_path=inv.id.test_module_path,
+                test_class_name=inv.id.test_class_name,
+                test_function_name=inv.id.test_function_name,
+                function_getting_tested=inv.id.function_getting_tested,
+                loop_index=inv.loop_index,
+                iteration_id=inv.id.iteration_id,
+                runtime_ns=inv.runtime,
+                did_pass=inv.did_pass,
+                timed_out=inv.timed_out or False,
+            )
+        )
+        if not inv.did_pass:
+            test_name = f"{inv.id.test_module_path}::{inv.id.test_function_name}"
+            errors.append(test_name)
+
+    best_summed_runtime_ns = test_results.total_passed_runtime() if test_results else 0
+    result = BehavioralRunResult(
+        run_id=run_id,
+        total_tests=len(test_results),
+        passed=sum(1 for r in test_results if r.did_pass),
+        failed=sum(1 for r in test_results if not r.did_pass),
+        best_summed_runtime_ns=best_summed_runtime_ns,
+        test_results=invocation_results,
+        errors=errors,
+    )
+
+    return {
+        "run_id": result.run_id,
+        "total_tests": result.total_tests,
+        "passed": result.passed,
+        "failed": result.failed,
+        "best_summed_runtime_ns": result.best_summed_runtime_ns,
+        "test_results": [
+            {
+                "name": r.test_function_name,
+                "module": r.test_module_path,
+                "class": r.test_class_name,
+                "passed": r.did_pass,
+                "runtime_ns": r.runtime_ns,
+            }
+            for r in result.test_results
+        ],
+        "errors": result.errors,
+    }
diff --git a/mcp_server/tools/benchmarking.py b/mcp_server/tools/benchmarking.py
new file mode 100644
index 000000000..02c611d96
--- /dev/null
+++ b/mcp_server/tools/benchmarking.py
@@ -0,0 +1,147 @@
+from __future__ import annotations
+
+import uuid
+from pathlib import Path
+from typing import TYPE_CHECKING, Any
+
+from mcp_server.db import get_connection, load_run_metadata, store_run
+from mcp_server.models import BenchmarkRunResult, SpeedupInfo, TestInvocationResult
+from mcp_server.runner import TestingMode, run_and_parse
+
+if TYPE_CHECKING:
+    import sqlite3
+
+    from codeflash.models.models import TestResults
+
+
+def run_benchmarking_tests(
+    test_files: list[str],
+    project_root: str,
+    language: str = "python",
+    timeout: int = 300,
+    min_loops: int = 5,
+    max_loops: int = 100_000,
+    target_duration_seconds: float = 10.0,
+    run_id: str | None = None,
+    baseline_run_id: str | None = None,
+    function_name: str | None = None,
+    module_path: str | None = None,
+    test_framework: str | None = None,
+) -> dict[str, Any]:
+    run_id = run_id or str(uuid.uuid4())
+    project_root_path = Path(project_root).resolve()
+
+    test_results, run_result = run_and_parse(
+        mode=TestingMode.BENCHMARKING,
+        test_files=test_files,
+        project_root=project_root_path,
+        language=language,
+        timeout=timeout,
+        min_loops=min_loops,
+        max_loops=max_loops,
+        target_duration_seconds=target_duration_seconds,
+        function_name=function_name,
+        module_path=module_path,
+        test_framework=test_framework,
+    )
+
+    conn = get_connection()
+    try:
+        store_run(
+            conn=conn,
+            run_id=run_id,
+            run_type="benchmarking",
+            project_root=project_root,
+            test_files=test_files,
+            test_results=test_results,
+            raw_stdout=run_result.stdout or "",
+            raw_stderr=run_result.stderr or "",
+        )
+
+        speedup_info = None
+        if baseline_run_id:
+            speedup_info = _compute_speedup(conn, baseline_run_id, test_results)
+    finally:
+        conn.close()
+
+    best_summed_runtime_ns = test_results.total_passed_runtime() if test_results else 0
+    loops_executed = test_results.effective_loop_count() if test_results else 0
+
+    invocation_results = [
+        TestInvocationResult(
+            test_module_path=inv.id.test_module_path,
+            test_class_name=inv.id.test_class_name,
+            test_function_name=inv.id.test_function_name,
+            function_getting_tested=inv.id.function_getting_tested,
+            loop_index=inv.loop_index,
+            iteration_id=inv.id.iteration_id,
+            runtime_ns=inv.runtime,
+            did_pass=inv.did_pass,
+            timed_out=inv.timed_out or False,
+        )
+        for inv in test_results
+    ]
+
+    result = BenchmarkRunResult(
+        run_id=run_id,
+        best_summed_runtime_ns=best_summed_runtime_ns,
+        loops_executed=loops_executed,
+        test_results=invocation_results,
+        speedup=speedup_info,
+    )
+
+    output: dict[str, Any] = {
+        "run_id": result.run_id,
+        "best_summed_runtime_ns": result.best_summed_runtime_ns,
+        "loops_executed": result.loops_executed,
+        "test_results": [
+            {
+                "name": r.test_function_name,
+                "module": r.test_module_path,
+                "class": r.test_class_name,
+                "passed": r.did_pass,
+                "runtime_ns": r.runtime_ns,
+                "loop_index": r.loop_index,
+            }
+            for r in result.test_results
+        ],
+    }
+
+    if result.speedup:
+        output["speedup"] = {
+            "baseline_run_id": result.speedup.baseline_run_id,
+            "baseline_runtime_ns": result.speedup.baseline_runtime_ns,
+            "candidate_runtime_ns": result.speedup.candidate_runtime_ns,
+            "performance_gain": result.speedup.performance_gain,
+            "speedup_x": result.speedup.speedup_x,
+            "speedup_pct": result.speedup.speedup_pct,
+        }
+
+    return output
+
+
+def _compute_speedup(
+    conn: sqlite3.Connection, baseline_run_id: str, candidate_results: TestResults
+) -> SpeedupInfo | None:
+    from codeflash.result.critic import performance_gain
+
+    baseline_meta = load_run_metadata(conn, baseline_run_id)
+    if baseline_meta is None:
+        return None
+
+    baseline_runtime_ns = baseline_meta["best_summed_runtime_ns"]
+    candidate_runtime_ns = candidate_results.total_passed_runtime() if candidate_results else 0
+
+    if candidate_runtime_ns == 0 or baseline_runtime_ns == 0:
+        return None
+
+    gain = performance_gain(original_runtime_ns=baseline_runtime_ns, optimized_runtime_ns=candidate_runtime_ns)
+
+    return SpeedupInfo(
+        baseline_run_id=baseline_run_id,
+        baseline_runtime_ns=baseline_runtime_ns,
+        candidate_runtime_ns=candidate_runtime_ns,
+        performance_gain=round(gain, 4),
+        speedup_x=f"{gain + 1:.3f}x",
+        speedup_pct=f"{gain * 100:.1f}%",
+    )
diff --git a/mcp_server/tools/compare.py b/mcp_server/tools/compare.py
new file mode 100644
index 000000000..3e3e6c297
--- /dev/null
+++ b/mcp_server/tools/compare.py
@@ -0,0 +1,40 @@
+from __future__ import annotations
+
+from typing import Any
+
+from mcp_server.db import get_connection, load_test_results
+
+
+def compare_test_results(original_run_id: str, candidate_run_id: str, pass_fail_only: bool = False) -> dict[str, Any]:
+    conn = get_connection()
+    try:
+        original_results = load_test_results(conn, original_run_id)
+        candidate_results = load_test_results(conn, candidate_run_id)
+    finally:
+        conn.close()
+
+    if not original_results:
+        return {"error": f"No results found for run_id: {original_run_id}"}
+    if not candidate_results:
+        return {"error": f"No results found for run_id: {candidate_run_id}"}
+
+    from codeflash.verification.equivalence import compare_test_results as cf_compare
+
+    equivalent, test_diffs = cf_compare(original_results, candidate_results, pass_fail_only=pass_fail_only)
+
+    diffs = []
+    for diff in test_diffs:
+        diffs.append(
+            {
+                "scope": diff.scope.value if hasattr(diff.scope, "value") else str(diff.scope),
+                "test_name": diff.test_src_code or "",
+                "original_value": diff.original_value or "",
+                "candidate_value": diff.candidate_value or "",
+                "original_passed": diff.original_pass,
+                "candidate_passed": diff.candidate_pass,
+            }
+        )
+
+    total_compared = min(len(original_results), len(candidate_results))
+
+    return {"equivalent": equivalent, "total_compared": total_compared, "diffs": diffs}
diff --git a/packages/codeflash/scripts/postinstall.js b/packages/codeflash/scripts/postinstall.js
index 9c1cf218e..61211f7ab 100644
--- a/packages/codeflash/scripts/postinstall.js
+++ b/packages/codeflash/scripts/postinstall.js
@@ -19,6 +19,8 @@ const os = require('os');
 const fs = require('fs');
 const { getCacheDir, getVenvDir, getCodeflashBin, getUvPath } = require('./paths');
 
+const PYTHON_VERSION = '3.12';
+
 // Clean environment without VIRTUAL_ENV so uv doesn't target an activated venv
 const cleanEnv = (() => {
   const env = { ...process.env };
@@ -134,7 +136,13 @@ function installCodeflash(uvBin) {
 
   // Create the venv (or reuse existing)
   try {
-    execSync(`"${uvBin}" venv --python python3.12 --clear "${venvDir}"`, {
+    execSync(`"${uvBin}" python install ${PYTHON_VERSION}`, {
+      stdio: 'inherit',
+      shell: true,
+      env: cleanEnv,
+    });
+
+    execSync(`"${uvBin}" venv --python python${PYTHON_VERSION} --clear "${venvDir}"`, {
       stdio: 'inherit',
       shell: true,
       env: cleanEnv,
diff --git a/pyproject.toml b/pyproject.toml
index 0d2df965d..721ec9113 100644
--- a/pyproject.toml
+++ b/pyproject.toml
@@ -63,8 +63,10 @@ Homepage = "https://codeflash.ai"
 
 [project.scripts]
 codeflash = "codeflash.main:main"
+codeflash-mcp = "mcp_server.server:main"
 
 [project.optional-dependencies]
+mcp = ["fastmcp>=2.0.0; python_version >= '3.10'"]
 
 [dependency-groups]
 dev = [
diff --git a/uv.lock b/uv.lock
index 7f858adaf..3c141a5a1 100644
--- a/uv.lock
+++ b/uv.lock
@@ -37,6 +37,18 @@ wheels = [
     { url = "https://files.pythonhosted.org/packages/18/a6/907a406bb7d359e6a63f99c313846d9eec4f7e6f7437809e03aa00fa3074/absl_py-2.4.0-py3-none-any.whl", hash = "sha256:88476fd881ca8aab94ffa78b7b6c632a782ab3ba1cd19c9bd423abc4fb4cd28d", size = 135750, upload-time = "2026-01-28T10:17:04.19Z" },
 ]
 
+[[package]]
+name = "aiofile"
+version = "3.9.0"
+source = { registry = "https://pypi.org/simple" }
+dependencies = [
+    { name = "caio", marker = "python_full_version >= '3.10'" },
+]
+sdist = { url = "https://files.pythonhosted.org/packages/67/e2/d7cb819de8df6b5c1968a2756c3cb4122d4fa2b8fc768b53b7c9e5edb646/aiofile-3.9.0.tar.gz", hash = "sha256:e5ad718bb148b265b6df1b3752c4d1d83024b93da9bd599df74b9d9ffcf7919b", size = 17943, upload-time = "2024-10-08T10:39:35.846Z" }
+wheels = [
+    { url = "https://files.pythonhosted.org/packages/50/25/da1f0b4dd970e52bf5a36c204c107e11a0c6d3ed195eba0bfbc664c312b2/aiofile-3.9.0-py3-none-any.whl", hash = "sha256:ce2f6c1571538cbdfa0143b04e16b208ecb0e9cb4148e528af8a640ed51cc8aa", size = 19539, upload-time = "2024-10-08T10:39:32.955Z" },
+]
+
 [[package]]
 name = "annotated-types"
 version = "0.7.0"
@@ -55,6 +67,20 @@ wheels = [
     { url = "https://files.pythonhosted.org/packages/75/f9/f1c10e223c7b56a38109a3f2eb4e7fe9a757ea3ed3a166754fb30f65e466/ansicon-1.89.0-py2.py3-none-any.whl", hash = "sha256:f1def52d17f65c2c9682cf8370c03f541f410c1752d6a14029f97318e4b9dfec", size = 63675, upload-time = "2019-04-29T20:23:53.83Z" },
 ]
 
+[[package]]
+name = "anyio"
+version = "4.13.0"
+source = { registry = "https://pypi.org/simple" }
+dependencies = [
+    { name = "exceptiongroup", marker = "python_full_version == '3.10.*'" },
+    { name = "idna", marker = "python_full_version >= '3.10'" },
+    { name = "typing-extensions", marker = "python_full_version >= '3.10' and python_full_version < '3.13'" },
+]
+sdist = { url = "https://files.pythonhosted.org/packages/19/14/2c5dd9f512b66549ae92767a9c7b330ae88e1932ca57876909410251fe13/anyio-4.13.0.tar.gz", hash = "sha256:334b70e641fd2221c1505b3890c69882fe4a2df910cba14d97019b90b24439dc", size = 231622, upload-time = "2026-03-24T12:59:09.671Z" }
+wheels = [
+    { url = "https://files.pythonhosted.org/packages/da/42/e921fccf5015463e32a3cf6ee7f980a6ed0f395ceeaa45060b61d86486c2/anyio-4.13.0-py3-none-any.whl", hash = "sha256:08b310f9e24a9594186fd75b4f73f4a4152069e3853f1ed8bfbf58369f4ad708", size = 114353, upload-time = "2026-03-24T12:59:08.246Z" },
+]
+
 [[package]]
 name = "asttokens"
 version = "3.0.1"
@@ -86,6 +112,19 @@ wheels = [
     { url = "https://files.pythonhosted.org/packages/64/b4/17d4b0b2a2dc85a6df63d1157e028ed19f90d4cd97c36717afef2bc2f395/attrs-26.1.0-py3-none-any.whl", hash = "sha256:c647aa4a12dfbad9333ca4e71fe62ddc36f4e63b2d260a37a8b83d2f043ac309", size = 67548, upload-time = "2026-03-19T14:22:23.645Z" },
 ]
 
+[[package]]
+name = "authlib"
+version = "1.7.2"
+source = { registry = "https://pypi.org/simple" }
+dependencies = [
+    { name = "cryptography", marker = "python_full_version >= '3.10'" },
+    { name = "joserfc", marker = "python_full_version >= '3.10'" },
+]
+sdist = { url = "https://files.pythonhosted.org/packages/36/98/7d93f30d029643c0275dbc0bd6d5a6f670661ee6c9a94d93af7ab4887600/authlib-1.7.2.tar.gz", hash = "sha256:2cea25fefcd4e7173bdf1372c0afc265c8034b23a8cd5dcb6a9164b826c64231", size = 176511, upload-time = "2026-05-06T08:10:23.116Z" }
+wheels = [
+    { url = "https://files.pythonhosted.org/packages/fb/95/adcb68e20c34162e9135f370d6e31737719c2b6f94bc953fe7ed1f10fe21/authlib-1.7.2-py2.py3-none-any.whl", hash = "sha256:3e1faedc9d87e7d56a164eca3ccb6ace0d61b94abe83e92242f8dc8bba9b4a9f", size = 259548, upload-time = "2026-05-06T08:10:21.436Z" },
+]
+
 [[package]]
 name = "backoff"
 version = "2.2.1"
@@ -104,6 +143,24 @@ wheels = [
     { url = "https://files.pythonhosted.org/packages/a0/59/76ab57e3fe74484f48a53f8e337171b4a2349e506eabe136d7e01d059086/backports_asyncio_runner-1.2.0-py3-none-any.whl", hash = "sha256:0da0a936a8aeb554eccb426dc55af3ba63bcdc69fa1a600b5bb305413a4477b5", size = 12313, upload-time = "2025-07-02T02:27:14.263Z" },
 ]
 
+[[package]]
+name = "backports-tarfile"
+version = "1.2.0"
+source = { registry = "https://pypi.org/simple" }
+sdist = { url = "https://files.pythonhosted.org/packages/86/72/cd9b395f25e290e633655a100af28cb253e4393396264a98bd5f5951d50f/backports_tarfile-1.2.0.tar.gz", hash = "sha256:d75e02c268746e1b8144c278978b6e98e85de6ad16f8e4b0844a154557eca991", size = 86406, upload-time = "2024-05-28T17:01:54.731Z" }
+wheels = [
+    { url = "https://files.pythonhosted.org/packages/b9/fa/123043af240e49752f1c4bd24da5053b6bd00cad78c2be53c0d1e8b975bc/backports.tarfile-1.2.0-py3-none-any.whl", hash = "sha256:77e284d754527b01fb1e6fa8a1afe577858ebe4e9dad8919e34c862cb399bc34", size = 30181, upload-time = "2024-05-28T17:01:53.112Z" },
+]
+
+[[package]]
+name = "beartype"
+version = "0.22.9"
+source = { registry = "https://pypi.org/simple" }
+sdist = { url = "https://files.pythonhosted.org/packages/c7/94/1009e248bbfbab11397abca7193bea6626806be9a327d399810d523a07cb/beartype-0.22.9.tar.gz", hash = "sha256:8f82b54aa723a2848a56008d18875f91c1db02c32ef6a62319a002e3e25a975f", size = 1608866, upload-time = "2025-12-13T06:50:30.72Z" }
+wheels = [
+    { url = "https://files.pythonhosted.org/packages/71/cc/18245721fa7747065ab478316c7fea7c74777d07f37ae60db2e84f8172e8/beartype-0.22.9-py3-none-any.whl", hash = "sha256:d16c9bbc61ea14637596c5f6fbff2ee99cbe3573e46a716401734ef50c3060c2", size = 1333658, upload-time = "2025-12-13T06:50:28.266Z" },
+]
+
 [[package]]
 name = "black"
 version = "25.11.0"
@@ -226,6 +283,44 @@ wheels = [
     { url = "https://files.pythonhosted.org/packages/08/81/26113a258b8b4068a7ae528cb1c13f1af2acfa0702368312183013ddc4f4/blessed-1.38.0-py3-none-any.whl", hash = "sha256:905884ae650e41284fa4fd7d0c3eed5e5b4a42be8c2bfb24c90d79fbf26a1490", size = 121251, upload-time = "2026-03-30T22:47:34.138Z" },
 ]
 
+[[package]]
+name = "cachetools"
+version = "7.1.1"
+source = { registry = "https://pypi.org/simple" }
+sdist = { url = "https://files.pythonhosted.org/packages/ff/e2/85f227594656000ff4d8adadae91a21f536d4a84c6c716a86bd6685874be/cachetools-7.1.1.tar.gz", hash = "sha256:27bdf856d68fd3c71c26c01b5edc312124ed427524d1ddb31aa2b7746fe20d4b", size = 40202, upload-time = "2026-05-03T20:00:29.391Z" }
+wheels = [
+    { url = "https://files.pythonhosted.org/packages/bf/0f/f897abe4ea0a8c408ae65c8c83bffab4936ad65d6032d4fb4cd35bbdc3ee/cachetools-7.1.1-py3-none-any.whl", hash = "sha256:0335cd7a0952d2b22327441fb0628139e234c565559eeb91a8a4ac7551c5353d", size = 16775, upload-time = "2026-05-03T20:00:27.857Z" },
+]
+
+[[package]]
+name = "caio"
+version = "0.9.25"
+source = { registry = "https://pypi.org/simple" }
+sdist = { url = "https://files.pythonhosted.org/packages/92/88/b8527e1b00c1811db339a1df8bd1ae49d146fcea9d6a5c40e3a80aaeb38d/caio-0.9.25.tar.gz", hash = "sha256:16498e7f81d1d0f5a4c0ad3f2540e65fe25691376e0a5bd367f558067113ed10", size = 26781, upload-time = "2025-12-26T15:21:36.501Z" }
+wheels = [
+    { url = "https://files.pythonhosted.org/packages/6a/80/ea4ead0c5d52a9828692e7df20f0eafe8d26e671ce4883a0a146bb91049e/caio-0.9.25-cp310-cp310-macosx_10_9_universal2.whl", hash = "sha256:ca6c8ecda611478b6016cb94d23fd3eb7124852b985bdec7ecaad9f3116b9619", size = 36836, upload-time = "2025-12-26T15:22:04.662Z" },
+    { url = "https://files.pythonhosted.org/packages/17/b9/36715c97c873649d1029001578f901b50250916295e3dddf20c865438865/caio-0.9.25-cp310-cp310-manylinux2010_x86_64.manylinux2014_x86_64.manylinux_2_12_x86_64.manylinux_2_17_x86_64.whl", hash = "sha256:db9b5681e4af8176159f0d6598e73b2279bb661e718c7ac23342c550bd78c241", size = 79695, upload-time = "2025-12-26T15:22:18.818Z" },
+    { url = "https://files.pythonhosted.org/packages/0b/ab/07080ecb1adb55a02cbd8ec0126aa8e43af343ffabb6a71125b42670e9a1/caio-0.9.25-cp310-cp310-manylinux_2_34_aarch64.whl", hash = "sha256:bf61d7d0c4fd10ffdd98ca47f7e8db4d7408e74649ffaf4bef40b029ada3c21b", size = 79457, upload-time = "2026-03-04T22:08:16.024Z" },
+    { url = "https://files.pythonhosted.org/packages/88/95/dd55757bb671eb4c376e006c04e83beb413486821f517792ea603ef216e9/caio-0.9.25-cp310-cp310-manylinux_2_34_x86_64.whl", hash = "sha256:ab52e5b643f8bbd64a0605d9412796cd3464cb8ca88593b13e95a0f0b10508ae", size = 77705, upload-time = "2026-03-04T22:08:17.202Z" },
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 version = "3.4.7"
@@ -511,6 +700,11 @@ dependencies = [
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+[package.optional-dependencies]
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     { name = "crosshair-tool", marker = "python_full_version < '3.15'", specifier = ">=0.0.103" },
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-    { name = "typing-inspect" },
-    { name = "z3-solver" },
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+    { name = "typing-inspect", marker = "python_full_version < '3.15'" },
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