Allows developers to query security findings (SAST issues, secrets, patches) using natural language within AI-assisted tools like Claude Desktop, Cursor, and other MCP-compatible environments.
Model Context Protocol server for security research automation, integrating multiple security testing tools into LLM-driven workflows for secret scanning, static analysis, and vulnerability discovery.
Wraps the CodeQL Language Server Protocol to enable LLM agents to write CodeQL queries with intelligent code completion, hover information, and other language features.
Provides CodeQL language intelligence to AI agents via MCP, enabling completions, hover, definitions, references, diagnostics, formatting, and in-memory file updates for QL code.
Provides code auditing tools including repository cloning, AST analysis, security scanning with Semgrep, and LLM-powered code explanations via the Model Context Protocol.