Pinecone

Community

MCP server for searching and uploading records to Pinecone. Allows for simple RAG features, leveraging Pinecone's Inference API

About Pinecone MCP Server

The Pinecone MCP server provides a comprehensive interface for AI applications to interact with pinecone features. It enables AI assistants to help with various tasks related to data workflows.

Features

Tools
Resources

Category

Data
Getting Started

To use the Pinecone MCP server in your AI application, follow these steps:

  1. Install the MCP client SDK for your platform
  2. Connect to the Pinecone MCP server
  3. Authenticate with your Pinecone credentials
  4. Start using the tools, resources, and prompts provided by the server

Example Code


// Connect to the Pinecone MCP server
const server = await mcp.connect("pinecone");

// Authenticate
await server.authenticate();

// Use a tool
const result = await server.tools.listRepositories({
  // Parameters
});

// Access a resource
const resource = await server.resources.repositoryContent({
  // Parameters
});

// Use a prompt
const response = await server.prompts.summarizePR({
  // Parameters
});
                      
Installation

npm

npm install @mcp/server-pinecone

pip

pip install mcp-server-pinecone
Compatible With
Claude for Desktop
Perplexity
Cursor
MCP Agent Framework