Enables programmatic access to Pinecone vector database operations for AI assistants via the Model Context Protocol.
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Integrate your AI assistants with Pinecone vector databases through a standardized Model Context Protocol (MCP) server. This tool empowers AI agents to perform sophisticated semantic searches, efficiently manage vectors, and interact seamlessly with your knowledge base, facilitating advanced natural language processing and information retrieval tasks.
Key Features
Remove vectors or clear your database
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Perform semantic search with natural language queries
Add and update documents/vectors in your database
Monitor Pinecone index statistics and performance
Use Cases
Clean up outdated information or reset a vector database
Index new documents or update an existing knowledge base for AI applications
Find relevant documents based on natural language queries
