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

Pinecone is an MCP server in the Data category. It exposes tools, resources to connected AI applications, enabling them to interact with pinecone capabilities through the standardized Model Context Protocol.

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");

// List available tools
const tools = await server.tools.list();

// List available resources
const resources = await server.resources.list();

// List available prompts
const prompts = await server.prompts.list();
                      
Installation

npm

npm install @mcp/server-pinecone

pip

pip install mcp-server-pinecone
Compatible With
Claude Desktop
Cursor
Windsurf
Zed
Any MCP-compatible client