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mcp-pinecone

by sirmews

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      license
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      quality
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      Enables interaction with Pinecone vector databases for storing and searching embeddings. Supports similarity search, metadata filtering, and vector operations for semantic search and RAG applications.
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    • F
      license
      Not graded
      quality
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      maintenance
      Enables AI assistants to perform semantic search, manage vectors, and interact with Pinecone vector databases through standardized MCP tools. Supports querying, upserting, deleting vectors and monitoring database statistics for knowledge base operations.
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    • A
      license
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      quality
      D
      maintenance
      Enables reading and writing to a Pinecone vector index, including semantic search, document management, and stats retrieval.
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    • A
      license
      B
      quality
      C
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      Enables a single MCP server for interacting with multiple vector databases through pluggable backends, starting with Pinecone. It supports schema-aware index management, upserts, hybrid search, embeddings, TTL conventions, and namespace operations.
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    • F
      license
      Not graded
      quality
      D
      maintenance
      A modular tool that combines RAG-based retrieval with Pinecone vector storage to create intelligent assistants capable of answering domain-specific questions from your knowledge base.
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