Pinecone
Enables reading and writing to a Pinecone index via the Model Context Protocol, facilitating retrieval-augmented generation (RAG).
About
Pinecone provides a Model Context Protocol (MCP) server designed to interface with Pinecone, a vector database. It allows MCP clients, such as Claude Desktop, to read and write data to a Pinecone index, facilitating retrieval-augmented generation (RAG) workflows. This server offers tools for semantic search, document retrieval, index management, and document processing, leveraging Pinecone's inference API for embedding generation and token-based chunking for document preparation. Ideal for applications needing context-aware data access and management within a Pinecone environment.
Key Features
- Performs semantic searches within a Pinecone index.
- Reads and lists documents stored in Pinecone.
- Provides statistics about a Pinecone index.
- Processes and chunks documents for upserting into Pinecone.
- Integrates with Claude Desktop via Model Context Protocol.
Use Cases
- Implementing retrieval-augmented generation (RAG) systems.
- Enabling context-aware interactions with large language models.
- Managing and querying document collections stored in Pinecone.
Sponsored