A Model Context Protocol server that parses code, documents, data, and config files into structured database snapshots for targeted AI retrieval, enabling code analysis and project understanding via LLM interactions.
A basic TypeScript implementation of the Model Context Protocol (MCP) server designed as a starting point for MCP development. Provides a minimal foundation for building custom MCP servers with stdio configuration for local integration with VS Code and GitHub Copilot.
A Model Context Protocol server that builds and queries a config-aware code graph with support for conditional compilation (#ifdef) filtering, enabling context-aware code analysis across different build configurations.
A server based on Model Context Protocol that parses Swagger/OpenAPI documents and generates TypeScript types and API client code for different frameworks (Axios, Fetch, React Query).