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Pinecone MCP Server

Updated June 2026✓ Official

The Pinecone MCP server, built by Pinecone, provides the official Pinecone Developer MCP Server (pinecone-io/pinecone-mcp) connects coding assistants like Cursor, Claude Desktop, Windsurf, and the Gemini CLI directly to Pinecone's vector database platform. It is officially maintained and best for Database.

by Pinecone

About

The official Pinecone Developer MCP Server (pinecone-io/pinecone-mcp) connects coding assistants like Cursor, Claude Desktop, Windsurf, and the Gemini CLI directly to Pinecone's vector database platform. Once connected, an AI client can search live Pinecone documentation to answer setup and API questions accurately, recommend and configure index settings (dimension, metric, pod vs. serverless type) based on an application's embedding model and scale, generate code for common patterns like batch upserts, hybrid search, and metadata filtering, and — when a `PINECONE_API_KEY` is supplied — directly upsert and query vectors in a live index so a developer can test retrieval quality without leaving their editor. It targets developers building with Pinecone as part of their stack, distinct from Pinecone's separate Assistant MCP, which instead surfaces context from a hosted knowledge base for end-user-facing AI assistants. Install with `npx -y @pinecone-database/mcp` (requires Node.js 18+); without an API key the server still works for documentation search, but index management and querying require one from the Pinecone console. A community alternative, sirmews/mcp-pinecone (150+ stars), offers a lighter Python-based server focused purely on index read/write operations for teams that don't need the documentation-search or code-generation tooling.

Installation

npm / npx
npx -y @pinecone-database/mcp

Frequently Asked Questions

What is Pinecone MCP Server?
Pinecone is an MCP server built by Pinecone. The official Pinecone Developer MCP Server (pinecone-io/pinecone-mcp) connects coding assistants like Cursor, Claude Desktop, Windsurf, and the Gemini CLI directly to Pinecone's vector database platform. Once connected, an AI client can search live Pinecone documentation to answer setup and API questions accurately, recommend and configure index settings (dimension, metric, pod vs. serverless type) based on an application's embedding model and scale, generate code for common patterns like batch upserts, hybrid search, and metadata filtering, and — when a `PINECONE_API_KEY` is supplied — directly upsert and query vectors in a live index so a developer can test retrieval quality without leaving their editor. It targets developers building with Pinecone as part of their stack, distinct from Pinecone's separate Assistant MCP, which instead surfaces context from a hosted knowledge base for end-user-facing AI assistants. Install with `npx -y @pinecone-database/mcp` (requires Node.js 18+); without an API key the server still works for documentation search, but index management and querying require one from the Pinecone console. A community alternative, sirmews/mcp-pinecone (150+ stars), offers a lighter Python-based server focused purely on index read/write operations for teams that don't need the documentation-search or code-generation tooling.
Who built Pinecone MCP Server?
Pinecone MCP Server was built by Pinecone.
Is Pinecone MCP Server free?
Yes, Pinecone MCP Server has a free option. The MCP server is free and open-source. Pinecone: Free tier (100K vectors). Standard: from $70/mo. Enterprise: Custom pricing.
How do I install Pinecone MCP Server?
Install Pinecone MCP Server with npm: npx -y @pinecone-database/mcp
What does Pinecone MCP Server integrate with?
Pinecone MCP Server integrates with Claude Desktop, Cursor, VS Code, Windsurf, Cline.

Repo Health

Local install

Local/stdio install — runs on your machine, so there is no remote endpoint to verify live. Trust signal below is from the source repo.

Repo recency not yet available for this server.

Quick Info

Install Type
npm
Author
Pinecone
Categories
2
Integrations
5

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