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jordyzomer avatar

CodeQL

jordyzomer/codeql-mcp
146
Summary

A straightforward wrapper around CodeQL's JSON-RPC query server that lets you register databases, run queries, and decode BQRS files through MCP tools. You can quick-evaluate symbols, locate predicate positions, and perform full CodeQL analysis directly from Cursor or other AI coding assistants. Requires CodeQL binary in your PATH and handles the JSON-RPC communication so you don't have to. Useful when you want to integrate static analysis into your AI-assisted workflow without manually switching between your editor and CodeQL command line tools.

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CodeQL MCP Server

This project runs a Model Context Protocol (MCP) server that wraps the CodeQL query server. It enables tools like Cursor or AI agents to interact with CodeQL through structured commands and doc search.


Features

  • ✅ Register CodeQL databases
  • ✅ Run full queries or quick-evaluate a symbol
  • ✅ Decode .bqrs files into JSON
  • ✅ Locate predicate/class symbol positions

File Structure

FilePurpose
server.pyMain FastMCP server exposing CodeQL tools
codeqlclient.pyCodeQLQueryServer implementation (JSON-RPC handler)

Requirements

Install with uv:

uv pip install -r requirements.txt

or with pip:

pip install fastmcp httpx

Running the MCP Server

uv run mcp run server.py -t sse
  • Starts the server at http://localhost:8000/sse
  • Required for Cursor or AI agent use

Cursor Config

Make sure your .cusor/config.json contains:

{
  "mcpServers": {
    "CodeQL": {
      "url": "http://localhost:8000/sse"
    }
  }
}

Notes

  • Tools like Cursor will invoke these commands directly via natural language.
  • You must have a codeql binary in your $PATH, or hardcode its path in codeqlclient.py.
  • You should probably specify query locations, query write locations and database paths in your prompts.
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UpdatedDec 15, 2025
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