mcp-pinecone

📋 Overview:

This webpage provides information about the "mcp-pinecone" GitHub repository, a Model Context Protocol (MCP) server that enables reading and writing operations to a Pinecone vector database. The project facilitates Retrieval-Augmented Generation (RAG) implementations. It includes details on the components, quickstart installation, development, building, publishing, debugging, and licensing.

⭐ Key Points:
* "mcp-pinecone" is an MCP server for interacting with Pinecone.
* It supports reading and writing data to a Pinecone index.
* The server provides tools for semantic search and document management.
* Installation instructions are provided for Smithery, uv and other methods.
* Configuration details are given for Claude Desktop, including published and development server configurations.
* Instructions for debugging are included, recommending the MCP Inspector.

* The project is licensed under the MIT License.

🔍 Main Findings:
* The "mcp-pinecone" repository offers a way to connect language models with a Pinecone vector database using the Model Context Protocol.
* It can be installed using Smithery or directly through uv/pip package management.
* The project provides specific configuration instructions for integrating with Claude Desktop.

* Debugging is made easier with the MCP Inspector.

📊 Details:
* Components include:
* MCP Client (e.g., Claude Desktop)
* MCP Server (pinecone-mcp): Server Class, Request Handlers (list\resources, read\resource, list\tools, call\tool, get\prompt, list\prompts), Implemented Tools (semantic-search, read-document, list-documents, pinecone-stats, process-document)
* Pinecone Service: Pinecone Client, Pinecone Operations (search\records, upsert\records, fetch\records, list\records, generate\_embeddings), Pinecone Index
* Installation commands via Smithery: `npx -y @smithery/cli install mcp-pinecone --client claude`
* Installation commands via uv: `uvx install mcp-pinecone` OR `uv pip install mcp-pinecone`
* Configurations for Published and Development Servers for Claude Desktop configuration file

* Building and Publishing: instructions to prepare package for distribution and publishing to PyPI

🎯 Conclusion:
The "mcp-pinecone" repository is a tool for developers looking to connect language models with Pinecone, particularly within the Claude Desktop environment. It offers functionalities for reading, writing, and managing data within a Pinecone index. The repository provides detailed instructions for setup, usage, and debugging.