pinecone-io

Pinecone MCP — AI skill for Claude Code

AI community

Connect your Pinecone projects to Cursor, Claude, and other AI assistants.

How to install Pinecone MCP

This entry records only its repository, not the path inside it, so there is no exact command to give. Open pinecone-io/pinecone-mcp and copy the folder into ~/.claude/skills/, or the file into ~/.claude/agents/.

What Pinecone MCP does

Connect your Pinecone projects to Cursor, Claude, and other AI assistants.

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README

Pinecone Developer MCP Server

[![npm version](https://img.shields.io/npm/v/@pinecone-database/mcp.svg)](https://www.npmjs.com/package/@pinecone-database/mcp) [![License](https://img.shields.io/badge/License-Apache%202.0-blue.svg)](https://opensource.org/licenses/Apache-2.0) [![CI](https://github.com/pinecone-io/pinecone-mcp/actions/workflows/ci.yml/badge.svg)](https://github.com/pinecone-io/pinecone-mcp/actions/workflows/ci.yml)

The [Model Context Protocol](https://modelcontextprotocol.io/introduction) (MCP) is a standard that allows coding assistants and other AI tools to interact with platforms like Pinecone. The Pinecone Developer MCP Server allows you to connect these tools with Pinecone projects and documentation.

Once connected, AI tools can:

Search Pinecone documentation to answer questions accurately.
Help you configure indexes based on your application's needs.
Generate code informed by your index configuration and data, as well as Pinecone documentation and examples.
Upsert and search for data in indexes, allowing you to test queries and evaluate results within your dev environment.

See the [docs](https://docs.pinecone.io/guides/operations/mcp-server) for more detailed information.

This MCP server is focused on improving the experience of developers working with Pinecone as part of their technology stack. It is intended for use with coding assistants. Pinecone also offers the [Assistant MCP](https://github.com/pinecone-io/assistant-mcp), which is designed to provide AI assistants with relevant context sourced from your knowledge base.

Setup

To configure the MCP server to access your Pinecone project, you will need to generate an API key using the [console](https://app.pinecone.io). Without an API key, your AI tool will still be able to search documentation. However, it will not be able to manage or query your indexes.

The MCP server requires [Node.js](https://nodejs.org) v20 or later. Ensure that `node` and