mcp-pinecone
Enables seamless read and write access to a Pinecone index via Model Context Protocol, offering semantic search, document management, embedding generation, and index statistics for enhanced AI-driven data operations.
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Your password for publishing to PyPI.
Your username for publishing to PyPI.
The name of your Pinecone index.
Your token used for publishing to PyPI.
Your secret API key for accessing the Pinecone index.
Security Notice
Your environment variables and credentials are securely stored and encrypted. LangDB never shares these configuration values with third parties.
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Enables LLMs to interact with MongoDB databases via Model Context Protocol, offering schema inspection, document querying, index management, and data operations through natural language commands.
Added May 29, 2025