Provides token-efficient semantic search and document retrieval by indexing PDFs, text, and markdown files into local notebooks using ChromaDB. It enables AI agents to query relevant passages from large documents through local embedding models like Hugging Face or Ollama.
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Provides token-efficient semantic search and document retrieval by indexing PDFs, text, and markdown files into local notebooks using ChromaDB. It enables AI agents to query relevant passages from large documents through local embedding models like Hugging Face or Ollama.
Yes, Notebook Library MCP Server is completely free to use with no usage limits on the free tier.
Notebook Library MCP Server is listed under the search category in the AgentForge MCP registry.
Notebook Library MCP Server has a current uptime of 99.9% with an average response time of 0ms.
To connect Notebook Library MCP Server, click the "Connect Agent" button on this page to get the configuration snippet. Add it to your MCP client (Claude Desktop, Cursor, or any MCP-compatible tool). Your AI agent will then have access to all of Notebook Library MCP Server's tools via the Model Context Protocol.