Skip to content
Pinecone

PineconeMCP Server

by Pinecone
Added to Onei
v0.2.1
Apache-2.0
Repository Docs npm
Databases & Data

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.

  1. Open your agent's MCP configuration file.
  2. Merge the snippet below into it, filling in the environment variables with your own values.
  3. 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"
      }
    }
  }
}

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.

Setup

npx -y @pinecone-database/mcp with PINECONE_API_KEY set. Works with serverless and pod-based indexes.

Related MCP Servers

MCP: Milvus

by Zilliz

Search and manage Milvus vector collections from an AI client — vector, full-text, and hybrid queries.

Databases & Data

MCP: Weaviate MCP Server

by Weaviate

Featured

Weaviate's MCP server, built into the database itself — hybrid search, schema inspection, tenant listing and batch upserts at /v1/mcp, scoped by RBAC.

Databases & Data

MCP: Chroma

by Chroma

Chroma's official MCP server — build and query vector collections directly from an AI client.

Databases & Data

MCP: Qdrant

by Qdrant

Qdrant's official MCP server — semantic memory for AI assistants backed by a real vector database.

Databases & Data
Browse all MCP servers →