Pinecone MCP Server

Stabledatabase
320 starsTypeScriptpinecone-io
GitHub
About

Overview

The Pinecone MCP Server allows AI agents to interact with Pinecone's vector database. It provides tools for upserting vectors, querying by similarity, managing indexes and namespaces, and retrieving metadata. Essential for building retrieval-augmented generation (RAG) systems and semantic search applications.
Capabilities

Tools & Capabilities

upsert_vectors

Upsert vectors with metadata into an index

query

Query for similar vectors using a vector or ID

list_indexes

List all Pinecone indexes

describe_index

Get details about an index including dimensions and metric

delete_vectors

Delete vectors by ID or filter

fetch_vectors

Fetch specific vectors by their IDs

Setup

Installation

bash
Install
npx -y @pinecone-database/mcp-server
Examples

Example Usage

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

Quick Info

Authorpinecone-io
LanguageTypeScript
StatusStable
Stars 320
Last UpdatedFeb 12, 2026

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