{"type":"mcp_server","name":"mcp-pinecone","description":"This repository provides a Pinecone Model Context Protocol (MCP) server, enabling Claude Desktop to read and write data to a Pinecone index through semantic search and document operations, facilitating interaction","category":"Search & Knowledge","language":"Python","stars":149,"forks":13,"owner":"sirmews","github_url":"https://github.com/sirmews/mcp-pinecone","homepage":null,"setup":"## Setup\n\n1.  **Installing via Smithery:** Install Pinecone MCP Server for Claude Desktop automatically using `npx -y @smithery/cli install mcp-pinecone --client claude`.\n2.  **Install the server:** Use `uvx install mcp-pinecone` OR `uv pip install mcp-pinecone`.\n3.  **Add your config:** Configure Claude Desktop by modifying `claude_desktop_config.json` (location varies by OS).\n4.  **Development/Unpublished Servers Configuration:** Add the provided JSON snippet to `mcpServers` in the config file.\n5.  **Published Servers Configuration:** Add the provided JSON snippet to `mcpServers` in the config file, replacing placeholders with your index name and API key.\n6.  **Sign up to Pinecone:** Create a Pinecone account.\n7.  **Get an API key:** Create a new index in Pinecone and get an API key from the Pinecone dashboard.","tools":"## Available Tools\n\n1.  semantic-search (Search for records in the Pinecone index.)\n2.  read-document (Read a document from the Pinecone index.)\n3.  list-documents (List all documents in the Pinecone index.)\n4.  pinecone-stats (Get stats about the Pinecone index, including the number of records, dimensions, and namespaces.)\n5.  process-document (Process a document into chunks and upsert them into the Pinecone index.)","faq":null,"created_at":"2024-12-08T04:53:27+00:00","updated_at":"2025-03-28T23:25:50+00:00","source_url":"https://model-context-protocol.com/servers/mcp-pinecone-rag-semantic-search-server","related_articles":[]}