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JordyZomer/codeql-mcp

Run CodeQL queries from an agent

Before you install: no copy-paste command · no license recorded · link reachable

First step: uv pip install -r requirements.txt

View on GitHub ↗Link checked 2026-11-12 · HTTP 200 · opens the vendor's own site
Install & config
Install command from the repository
pip install fastmcp

Parsed from the README we fetched on 2026-11-05; we have not executed it.

This is the install method the repository states, not an MCP client config, so no JSON is generated.
Key names differ by client: Clients & CLI
Source
collected from the abordage/awesome-mcp list · type: MCP server
Harvest history
first seen 2026-11-05 · last seen 2026-11-14 · seen 10× · listed by 10 sources
Score
score 1,003 · 10 sources · mcp
Install
pip install fastmcp
FAQ (answers come from our records)
How do I install it?
The repository provides this install command: pip install fastmcp. It comes from the repository itself; we cannot guarantee it runs as-is in your client.
Who is it for?
We filed it under these tags: MCP 服务. The tags come from the entry itself, not a taxonomy we imposed.
Who maintains it?
first catalogued 2026-11-05;last seen 2026-11-14。There is no official certification or quality rating here — we record sources and dates only.

# CodeQL MCP Server

以下摘录自该仓库的 README(片段) · 在 GitHub 读完整 README →

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
| File | Purpose |
| server.py | Main FastMCP server exposing CodeQL tools |
| codeqlclient.py | CodeQLQueryServer implementation (JSON-RPC handler) |
## Requirements
Install with uv:
bash
uv pip install -r requirements.txt
or with pip:
bash
pip install fastmcp httpx
## Running the MCP Server
bash
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.
Listed badge (optional)
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[![Listed on Anclum](https://anclum.com/badge/listed.svg)](https://anclum.com/en/s/jordyzomer-codeql-mcp/)
Source
awesome · https://github.com/JordyZomer/codeql-mcp
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