This project runs a Model Context Protocol (MCP) server that wraps the CodeQL query server. It enables tools like [Cursor](https://cursor.sh/) or AI agents to interact with CodeQL through structured commands.
Config is the same across clients — only the file and path differ.
{
"mcpServers": {
"codeql-mcp": {
"command": "<see-readme>",
"args": []
}
}
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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.
No automated test available for this server. Check the GitHub README for setup instructions.
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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.
.bqrs files into JSON| File | Purpose |
|---|---|
server.py | Main FastMCP server exposing CodeQL tools |
codeqlclient.py | CodeQLQueryServer implementation (JSON-RPC handler) |
Install with uv:
uv pip install -r requirements.txt
or with pip:
pip install fastmcp httpx
uv run mcp run server.py -t sse
Make sure your .cusor/config.json contains:
{
"mcpServers": {
"CodeQL": {
"url": "http://localhost:8000/sse"
}
}
}