Pinecone MCP Server

An MCP (Model Context Protocol) server for interacting with Pinecone vector database. This server provides tools for AI agents to interact with Pinecone databases through natural language.

Prerequisites

This project requires the MCP TypeScript SDK. Until it's publicly available on npm, you'll need to:

1. Download the latest release of the SDK (file named like modelcontextprotocol-sdk-0.1.0.tgz)
2. Install it manually:

npm install --save path/to/modelcontextprotocol-sdk-0.1.0.tgz

Features

• List all Pinecone indexes
• Describe specific indexes
• Query vectors with customizable parameters
• Support for namespaces and filters
• Easy integration with AI agents

Installation

You can install and run this package directly using npx:

npx pinecone-mcp

Or install it globally:

npm install -g pinecone-mcp
pinecone-mcp

You can also install it from GitHub:

npx github:YOUR_USERNAME/pinecone-mcp

Configuration

Before running the server, you need to set up your Pinecone API key.

1. Copy the example environment file:

cp .env.example .env

2. Edit the .env file and replace your_api_key_here with your actual Pinecone API key from the Pinecone dashboard.

Available Tools

listIndexes

Lists all available Pinecone indexes in your account.

Example:

Use the listIndexes tool

describeIndex

Get detailed information about a specific index.

Example:

Use the describeIndex tool with indexName = "my-index"

queryVectors

Query vectors in an index with various parameters.

Example:

Use the queryVectors tool with:
- indexName = "my-index"
- queryVector = [0.1, 0.2, 0.3]
- topK = 5
- namespace = "my-namespace" (optional)

describeIndexStats

Get statistical information about a specific index.

Example:

Use the describeIndexStats tool with:
- indexName = "my-index"

fetchVectors

Fetch specific vectors by their IDs from an index.

Example:

Use the fetchVectors tool with:
- indexName = "my-index"
- ids = ["vector-id-1", "vector-id-2"]
- namespace = "my-namespace" (optional)

listCollections

List all collections in your Pinecone account.

Example:

Use the listCollections tool

describeCollection

Get detailed information about a specific collection.

Example:

Use the describeCollection tool with:
- collectionName = "my-collection"

Development

To build the project:

npm run build

To run in development mode:

npm run dev

License

MIT