Exposes a Retrieval-Augmented Generation pipeline as MCP tools, allowing users to index documents and query them through any MCP-compatible client like Claude or IDEs.
A Python server implementing the Model Context Protocol that exposes tools for querying external APIs, compatible with Claude Desktop and ChatGPT Desktop.
Exposes RAG-related tools (query_knowledge_hub, list_collections, get_document_summary) via the Model Context Protocol, enabling AI assistants to perform hybrid search, document ingestion, and evaluation on knowledge bases.
Enables LLMs to search through AWS Lambda Powertools documentation across multiple runtimes (Python, TypeScript, Java, .NET) using a Model Context Protocol server.
Provides real-time retrieval of official documentation for LangChain, LlamaIndex, and OpenAI. It enables context-aware coding by fetching the latest API references and guides directly into Claude via the Model Context Protocol.
Exposes a local RAG document index as MCP tools (ask, search, rebuild_index, status) for MCP clients like Claude Desktop and Claude Code to query your documents over stdio.