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chatlab-mcp

v0.1.0

Published

ChatLab MCP Server — shared core for CLI and Desktop, also usable standalone via npx

Readme

chatlab-mcp

ChatLab MCP Server exposes local ChatLab conversation data to MCP clients such as ClaudeCode, Cursor, Codex, and OpenClaw.

It runs over stdio and provides read-only access to imported ChatLab sessions, including session discovery, keyword search, member statistics, time analysis, SQL queries, and conversation context tools.

Quick Start

Use it directly with npx:

npx -y chatlab-mcp

The command starts an MCP stdio server and waits for an MCP client. It does not print a help screen because stdout is reserved for MCP protocol messages.

MCP Client Configuration

Add this server to your MCP client configuration:

{
  "mcpServers": {
    "chatlab": {
      "command": "npx",
      "args": ["-y", "chatlab-mcp"]
    }
  }
}

If you install the package globally, you can also use:

{
  "mcpServers": {
    "chatlab": {
      "command": "chatlab-mcp"
    }
  }
}

Data Directory

chatlab-mcp reads the same local data directory as ChatLab:

~/.chatlab/

If you configured a custom ChatLab data directory in ~/.chatlab/config.toml, the MCP server will use that configuration automatically.

The server is read-only. It opens existing ChatLab session databases and does not modify chat data.

Available Capabilities

The server registers ChatLab tools for:

  • Listing imported chat sessions
  • Reading session metadata and database schema
  • Searching messages and keywords
  • Loading recent messages and message context
  • Listing members and member activity
  • Analyzing active hours, response time, interaction pairs, and daily active users
  • Running read-only SQL queries
  • Producing text or JSON output for tool results

Requirements

  • Node.js 20 or later
  • Existing ChatLab data under ~/.chatlab/

better-sqlite3 is installed as a runtime dependency. On platforms without a matching prebuilt binary, npm may need local build tools for native modules.

@node-rs/jieba is optional and improves Chinese word segmentation for keyword-frequency tools. If it is unavailable, core MCP functionality still works.

Package API

Advanced callers can import the shared server core:

import { startMcpServer } from 'chatlab-mcp'

Most users should prefer the npx -y chatlab-mcp command.

Links

  • ChatLab: https://github.com/ChatLab/ChatLab
  • Model Context Protocol: https://modelcontextprotocol.io/