Pinecone

by Pinecone

v0.2.1

Apache-2.0

Repository Docs npm

Databases & Data

vector-databaseragsearchpinecone

Summary

Pinecone's official MCP server — search and manage vector indexes, and query Pinecone's docs while you build.

Features

Search indexes and inspect index configuration
Upsert records and cascade search across namespaces
Query Pinecone documentation from the same server

Installation

Set up this MCP server in your favorite AI agent — copy a ready-made configuration below.

Any MCP-compatible agent

Most agents (Claude, Cursor, Windsurf, VS Code, and more) read a standard mcpServers configuration.

Open your agent's MCP configuration file.
Merge the snippet below into it, filling in the environment variables with your own values.
Restart the agent — the "Pinecone" tools will be available.

{
  "mcpServers": {
    "pinecone-mcp": {
      "command": "npx",
      "args": [
        "-y",
        "@pinecone-database/mcp"
      ],
      "env": {
        "PINECONE_API_KEY": "your-api-key"
      }
    }
  }
}

Claude Code

Add the server with a single CLI command.

claude mcp add pinecone-mcp -e PINECONE_API_KEY=your-api-key -- npx -y @pinecone-database/mcp

Claude Desktop

Add the server to claude_desktop_config.json (Settings → Developer → Edit Config).

{
  "mcpServers": {
    "pinecone-mcp": {
      "command": "npx",
      "args": [
        "-y",
        "@pinecone-database/mcp"
      ],
      "env": {
        "PINECONE_API_KEY": "your-api-key"
      }
    }
  }
}

Cursor

{
  "command": "npx",
  "args": [
    "-y",
    "@pinecone-database/mcp"
  ],
  "env": {
    "PINECONE_API_KEY": "your-api-key"
  }
}

Windsurf

{
  "command": "npx",
  "args": [
    "-y",
    "@pinecone-database/mcp"
  ],
  "env": {
    "PINECONE_API_KEY": "your-api-key"
  }
}

VS Code

{
  "command": "npx",
  "args": [
    "-y",
    "@pinecone-database/mcp"
  ],
  "env": {
    "PINECONE_API_KEY": "your-api-key"
  }
}

Description

Pinecone's official MCP server connects an assistant to your Pinecone account for both data operations and development support.

What it covers

Index management. List indexes, inspect configuration and statistics, and create new ones.
Search. Query indexes semantically, with namespace and metadata filtering, and cascading search across multiple namespaces.
Upserting records, including text that Pinecone embeds server-side with integrated inference.
Documentation search. The server exposes Pinecone's own documentation as a searchable tool, so an assistant writing Pinecone code can check the current API rather than recalling an old one.

Why the docs tool matters

Vector database APIs have changed substantially over the past two years, and models routinely generate code against deprecated client versions. Having current documentation available as a tool measurably improves the code an assistant produces.