CodeQL MCP Server provides a bridge to the CodeQL static analysis engine, enabling AI assistants to analyze codebases for security vulnerabilities and quality issues. The implementation offers tools for registering CodeQL databases, evaluating queries against codebases, decoding query results, and performing quick evaluations of specific classes or predicates. Built with Python using the FastMCP framework, it exposes a simple API that handles the complexities of CodeQL operations while providing structured results that can be easily interpreted by language models. This server is particularly valuable for security researchers and developers who want to leverage AI assistants for code analysis without directly interacting with the CodeQL CLI.
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