Notion RAG: Intelligent Documentation Search

This server acts as a bridge between your Notion workspace and your development environment, providing intelligent access to your documentation right within your IDE. Leveraging a Retrieval-Augmented Generation (RAG) system, it syncs your Notion pages, indexes them into a Pinecone vector database, and allows you to perform semantic searches using powerful AI models from OpenAI or Google. Designed for seamless integration with tools like Cursor, it uses the Model Context Protocol (MCP) to make your entire Notion knowledge base available as a development context. Developers can quickly find relevant guides, API documentation, or project notes without context switching. Key Features: - Direct IDE Integration: Access Notion docs via MCP in supported IDEs like Cursor. - Intelligent RAG System: Get context-aware search results powered by AI. - Automatic Sync: Keeps your knowledge base up-to-date with your Notion workspace. - Flexible API: Includes a REST API for custom integrations. - Powered by: LangChain, Pinecone, OpenAI, and Google AI.