MCP server that enables AI assistants to interact with Google Gemini CLI, leveraging Gemini's massive token window for large file analysis and codebase understanding
-
Updated
Nov 25, 2025 - TypeScript
MCP server that enables AI assistants to interact with Google Gemini CLI, leveraging Gemini's massive token window for large file analysis and codebase understanding
Enterprise-grade (40m+ lines) codebase intelligence in a zero-setup, private and local Claude Plugin or MCP: managed indexing, hybrid semantic search, polyglot code dependency graphs, and DB/API/infra knowledge. Benchmark: 61% less tokens, 84% fewer calls, 37x faster than standard AI grep.
A discovery and compression tool for your Python codebase. Creates a knowledge graph for a LLM context window, efficiently outlining your project | Code structure visualization | LLM Context Window Efficiency | Static analysis for AI | Large Language Model tooling #LLM #AI #Python #CodeAnalysis #ContextWindow #DeveloperTools
Your CLAUDE.md stopped working at 200 lines. Generate scoped skill files from your import graph, auto-sync on every commit. Claude Code, Codex, Cursor.
A lightweight tool to optimize your Javascript / Typescript project for LLM context windows by using a knowledge graph | AI code understanding | LLM context enhancement | Code structure visualization | Static analysis for AI | Large Language Model tooling #LLM #AI #JavaScript #TypeScript #CodeAnalysis #ContextWindow #DeveloperTools
Product-Led Growth (PLG) analysis toolkit that detects tech stacks, plans growth loops and builds the loop iteratively.
The fastest way to understand any codebase in plain English using real project signals. Not blind AI summarization
World-class deep-dive tutorials for open-source AI agents, vibe coding tools, LLM frameworks, and production systems.
A lightweight tool to optimize your C# project for LLM context windows by using a knowledge graph | Code structure visualization | Static analysis for AI | Large Language Model tooling | .NET ecosystem support #LLM #AI #CSharp #DotNet #CodeAnalysis #ContextWindow #DeveloperTools
A discovery and compression tool for your Java codebase. Creates a knowledge graph for a LLM context window, efficiently outlining your project #LLM #AI #Java #CodeAnalysis #ContextWindow #DeveloperTools #StaticAnalysis #CodeVisualization
AI-powered code guardian — static analysis that watches your entire codebase
Visualize any codebase as an interactive force-directed graph. Analyze Python, JS/TS, and more -- see how files, classes, endpoints, and services connect. Click any node for deep dependency chain insight.
Queryable knowledge graph for codebases — turns git history and LLM-analyzed source into a Datomic database that AI agents can query with Datalog.
Code visualization for non-programmers. A docent for your codebase.
Research, planning, and implementation workflows for Claude Code
A language agnostic way to audit, analyze and visualize code bases
A Rust-powered alternative inspired by Claude Code and opencode, optimized for fast grep, find, and codebase scanning in AI coding workflows.
Zero-dependency codebase intelligence for AI agents and humans. Static analysis → structured Markdown → readable by any LLM. 8 code health agents included.
The living wiki that writes itself.
Semantic codebase understanding service — maps application structure, authentication patterns, authorization models, and data flows for intelligent security analysis.
Add a description, image, and links to the codebase-analysis topic page so that developers can more easily learn about it.
To associate your repository with the codebase-analysis topic, visit your repo's landing page and select "manage topics."