Lightweight Model Context Protocol (MCP) bridge and hybrid sync engine connecting Notion workspaces with AI agents and vector RAG pipelines.
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# mcp-notion-bridge [](https://pypi.org/project/mcp-notion-bridge/) [](https://pypi.org/project/mcp-notion-bridge/) [](https://pypistats.org/packages/mcp-notion-bridge) [](https://opensource.org/licenses/MIT) [](https://shaheerulhassan.com/) [](https://github.com/samjanjua6/mcp-notion-bridge) [-8F63DD)](https://www.agensi.io/skills/notion-agent-bridge-live-mcp-rag-sync) > **Lightweight Model Context Protocol (MCP) bridge and hybrid sync engine connecting Notion workspaces with AI agents and vector RAG pipelines.** > [!NOTE] > **Claude Code & Cursor Users**: Get the turnkey 1-click Agent Skill on [**Agensi.io**](https://www.agensi.io/skills/notion-agent-bridge-live-mcp-rag-sync). > [!TIP] > **Support Open-Source**: If you find `mcp-notion-bridge` useful in your agent workflows, please consider giving it a ⭐ on GitHub — it helps the project grow! Stop serving obsolete data from static vector indices. `mcp-notion-bridge` implements an event-driven retrieval layer adhering to Anthropic's open **Model Context Protocol (MCP)**. It dynamically intercepts volatile documentation updates from live Notion workspaces and fuses them with local vector stores (ChromaDB, Pgvector) and sparse BM25 search using **Reciprocal Rank Fusion (RRF)**. --- ## ⚡ The Problem: The Stale Embeddings Crisis Real-world enterprise documentation lives in collaborative workspaces like Notion. When teams update discount policies…
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