interactive-process-mcp

Give AI Agents Interactive Terminal Capabilitiesnow has been moved to [termcp](https://github.com/open-mcp-ai/termcp)

中文 | English

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Introduction

interactive-process-mcp is an MCP (Model Context Protocol) server that enables AI Agents (like Claude Code) to start, control, and manage long-running interactive processes.

Why Do You Need It?

AI Agents can natively only execute one-shot commands — they run and immediately return results. But many real-world scenarios require multi-turn interaction:

• SSH into a remote server, enter a password first, then run commands
• Debug code line by line in a Python REPL
• Answer [Y/n] prompts in interactive installers
• Use terminal-dependent commands like top, htop
• Run security tools (e.g., impacket) for multi-step operations

In these scenarios, the process keeps running, and the AI Agent needs to repeatedly read and write the process's I/O across multiple conversation turns. interactive-process-mcp is the bridge designed precisely for this purpose.

Key Features

Feature	Description
Multi-agent session sharing	Multiple AI agents read from the same session simultaneously, each with an independent cursor — no output stealing
PTY and Pipe dual mode	PTY mode emulates a real terminal; Pipe mode for simple stdin/stdout interaction
Remote deployment	SSE over HTTP transport — Agent and Server can run on different machines
Multi-session management	Manage multiple independent processes simultaneously without interference
Message persistence	Session records and I/O messages persisted to local JSON files
ANSI escape code stripping	Optional automatic removal of terminal control sequences for clean text output
Blocking reads with timeout	Agents wait for new output up to a configurable timeout; returns promptly via sync.Cond
Atomic send-and-read	send_and_read combines sending + reading in one step
Graceful termination	SIGTERM first, then SIGKILL after a configurable grace period
PTY resize	Dynamically adjust terminal rows and columns at runtime
Session cleanup	Delete exited sessions to prevent resource accumulation

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Architecture

┌──────┐  SSE/HTTP  ┌──────────────┐  Internal SSH  ┌──────────┐
│Agent │ ──────────> │ Go Server    │ ──────────────> │ PTY/     │
│(MCP) │             │ - MCP API    │  (localhost)    │ Process  │
└──────┘             │ - SSH Server │                 └──────────┘
                     └──────────────┘
                            │
                            ▼
                     ┌──────────────┐
                     │ JSON Storage │
                     │ - sessions   │
                     │ - messages   │
                     └──────────────┘

Project Structure

.
├── cmd/server/main.go           # Entry point
├── internal/
│   ├── config/config.go         # Configuration with validation
│   ├── mcp/
│   │   ├── server.go            # MCP SSE server & tool registration
│   │   └── handlers.go          # 13 tool handlers
│   ├── sshserver/server.go      # Internal SSH server (gliderlabs/ssh)
│   ├── sshclient/client.go      # Internal SSH client (crypto/ssh)
│   ├── session/
│   │   ├── session.go           # Session lifecycle (goroutine-safe)
│   │   └── manager.go           # Thread-safe session registry
│   ├── buffer/buffer.go         # Multi-reader ring buffer (1MB per reader)
│   ├── storage/store.go         # Atomic JSON file persistence
│   ├── message/message.go       # Message management (per-session mutex)
│   └── ansi/strip.go            # ANSI escape code removal
├── pkg/api/types.go             # Public types (Session, Message, SessionMode)
├── go.mod
└── go.sum

Key Design Decisions

1. Multi-Reader Ring Buffer: Each agent registers as an independent reader with its own ringbuffer.RingBuffer instance. Writes broadcast to all readers. Slow readers lose oldest data (overwrite mode) rather than blocking the writer.

2. Internal SSH Architecture: The server starts a gliderlabs/SSH server on localhost. Each start_process creates an SSH session via crypto/ssh client, leveraging SSH's mature PTY allocation, window resize, signal forwarding, and environment variable passing.

3. SSE over HTTP Transport: Unlike traditional stdio-based MCP servers, this server exposes an HTTP endpoint supporting MCP SSE transport. Agents connect remotely, enabling cross-machine deployment.

4. Atomic JSON Persistence: Session metadata and I/O messages are stored via temp-file + fsync + rename, preventing half-written files on crash:

   • data/sessions.json — Session list
   • data/messages/{session_id}/index.json — Message index
   • data/messages/{session_id}/messages/{msg_id}.json — Message content

5. Session Lifecycle Safety: Exit goroutine is the single authority for Status/ExitCode (via sync.Once). Terminate is idempotent. Stdin writes are serialized via a dedicated mutex.

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Examples

Example 1: SSH Remote Operations

AI Agent Flow                                   Process Output
─────────────────                              ────────────────

start_process(
  command="ssh",
  args=["deploy@192.168.1.100"],
  mode="pty"
)
                                    ←    "deploy@192.168.1.100's password: "

send_and_read(
  text="my_secret_pass",
  press_enter=true
)
                                    ←    "Welcome to Ubuntu 22.04 LTS
                                          deploy@web-server:~$ "

send_and_read(
  text="df -h",
  press_enter=true
)
                                    ←    "Filesystem      Size  Used Avail Use% Mounted on
                                          /dev/sda1       100G   45G   55G  45% /
                                          deploy@web-server:~$ "

terminate_process(session_id="abc123")

Example 2: Python REPL Debugging

start_process(command="python3", mode="pty")
                                    ←    "Python 3.10.12\n>>> "

send_and_read(text="data = [1, 2, 3, 4, 5]", press_enter=true)
                                    ←    ">>> "

send_and_read(text="sum(data)", press_enter=true)
                                    ←    "15\n>>> "

Example 3: Multi-Agent Collaboration

# Agent A starts a monitoring process
start_process(command="top", mode="pty")
  → session_id: "sess-001"

# Agent B joins the same session without stealing output
register_reader(session_id="sess-001")
  → reader_id: 2

# Agent A reads its own cursor
read_output(session_id="sess-001", reader_id=1)
  → "PID USER  PR  NI  VIRT  RES  SHR S %CPU %MEM   TIME+ COMMAND..."

# Agent B reads from the beginning independently
read_output(session_id="sess-001", reader_id=2)
  → "top - 14:32:10 up 3 days,  2:15,  1 user,  load average: 0.52, 0.58, 0.59..."

# Agent B is done
unregister_reader(session_id="sess-001", reader_id=2)

# Agent A terminates the session
terminate_process(session_id="sess-001")
delete_session(session_id="sess-001")

Example 4: Multi-session Parallel Management

start_process(command="ping", args=["-c", "5", "google.com"], name="ping-test")
  → session_id: "a1b2c3"

start_process(command="python3", args=["-m", "http.server", "8080"], name="web-server")
  → session_id: "d4e5f6"

list_sessions()
  → [{id: "a1b2c3", status: "running"}, {id: "d4e5f6", status: "running"}]

read_output(session_id="a1b2c3")  → ping statistics

terminate_process(session_id="a1b2c3")
terminate_process(session_id="d4e5f6")

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Tool Reference

start_process

Start an interactive process.

Parameter	Type	Required	Default	Description
command	string	Yes	—	Command to execute
args	string[]	No	[]	Command arguments
mode	"pty" | "pipe"	No	"pty"	I/O mode
name	string	No	Auto-generated	Session name
rows	integer	No	24	PTY row count (1–1000)
cols	integer	No	80	PTY column count (1–1000)

Returns: { session_id, pid, initial_output }

send_input

Send text to a process.

Parameter	Type	Required	Default	Description
session_id	string	Yes	—	Session ID
text	string	Yes	—	Text to send
press_enter	boolean	No	false	Whether to append a newline

read_output

Read new output since the last read for the given reader.

Parameter	Type	Required	Default	Description
session_id	string	Yes	—	Session ID
reader_id	integer	No	0	Reader ID (0 = default)
strip_ansi	boolean	No	true	Strip ANSI escape codes
timeout	number	No	5	Wait time in seconds (0.1–60)
max_lines	integer	No	0	Max lines (0 = unlimited)

Returns: { output, has_more, lines_returned, bytes_returned }

send_and_read

Atomic operation: send input + wait + read output. Parameters are the union of send_input and read_output.

list_sessions

List all sessions. Returns: { sessions: [...] }

get_session_info

Get session details. Returns: { id, name, command, args, mode, status, exit_code, pid, created_at }

terminate_process

Terminate a process.

Parameter	Type	Required	Default	Description
session_id	string	Yes	—	Session ID
force	boolean	No	false	Use SIGKILL directly
grace_period	number	No	5	Seconds to wait after SIGTERM (0–60)

delete_session

Remove an exited session from the registry.

Parameter	Type	Required	Default	Description
session_id	string	Yes	—	Session ID

resize_pty

Resize PTY dimensions (PTY mode only).

Parameter	Type	Required	Default	Description
session_id	string	Yes	—	Session ID
rows	integer	No	24	Row count
cols	integer	No	80	Column count

register_reader

Register a new independent reader for a session.

Parameter	Type	Required	Default	Description
session_id	string	Yes	—	Session ID

Returns: { reader_id }

unregister_reader

Unregister a reader to free resources.

Parameter	Type	Required	Default	Description
session_id	string	Yes	—	Session ID
reader_id	integer	Yes	—	Reader ID

list_messages

List the message index for a session.

Parameter	Type	Required	Default	Description
session_id	string	Yes	—	Session ID

Returns: { messages: [{id, type, created_at, byte_size}, ...] }

get_message

Get the content of one or more messages.

Parameter	Type	Required	Default	Description
session_id	string	Yes	—	Session ID
message_ids	string[]	No	—	Message IDs to retrieve

Returns: { messages: [{id, session_id, type, content, created_at, byte_size}, ...] }

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Installation

Build from source

go build -o server ./cmd/server

Requirements: Go >= 1.21 / macOS or Linux

Run

./server --host 127.0.0.1 --port 8080 --data-dir ./data

Options:

Flag	Default	Description
--host	127.0.0.1	HTTP server host
--port	8080	HTTP server port
--data-dir	./data	JSON storage directory
--ssh-host	127.0.0.1	Internal SSH server host
--ssh-port	0 (random)	Internal SSH server port

Configuration

Claude Code

In .claude/settings.json or .mcp.json:

{
  "mcpServers": {
    "interactive-process": {
      "type": "sse",
      "url": "http://your-server:8080/sse"
    }
  }
}

Or via CLI:

claude mcp add --transport sse interactive-process http://localhost:8080/sse

Other MCP Clients

Any MCP client that supports SSE transport can connect to http://<host>:<port>/sse.

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Community

• linux.do — Chinese tech community

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License

MIT