Assistant MCP

Community AI and agents

Connect to your Pinecone Assistant and retrieve context from its knowledge engine.

What can you do with Assistant MCP?

  • Retrieves information from Pinecone Assistant
  • Supports multiple results retrieval with a configurable number of results

Install

The installation steps are in the documentation below. Documentation

Documentation

From the project's README on GitHub, refreshed weekly. Links open on GitHub.

Contents
  1. Pinecone Assistant MCP Server
  2. Features
  3. Prerequisites
  4. Building with Docker
  5. Running with Docker
  6. Usage with Claude Desktop
  7. Building from Source
  8. License

Pinecone Assistant MCP Server

An MCP server implementation for retrieving information from Pinecone Assistant.

Features

  • Retrieves information from Pinecone Assistant
  • Supports multiple results retrieval with a configurable number of results

Prerequisites

  • Docker installed on your system
  • Pinecone API key - obtain from the Pinecone Console
  • Pinecone Assistant API host - after creating an Assistant (e.g. in Pinecone Console), you can find the host in the Assistant details page

Building with Docker

To build the Docker image:

docker build -t pinecone/assistant-mcp .

Running with Docker

Run the server with your Pinecone API key:

docker run -i --rm \
  -e PINECONE_API_KEY=<YOUR_PINECONE_API_KEY_HERE> \
  -e PINECONE_ASSISTANT_HOST=<YOUR_PINECONE_ASSISTANT_HOST_HERE> \
  pinecone/assistant-mcp
Environment Variables
  • PINECONE_API_KEY (required): Your Pinecone API key
  • PINECONE_ASSISTANT_HOST (optional): Pinecone Assistant API host (default: https://prod-1-data.ke.pinecone.io)
  • LOG_LEVEL (optional): Logging level (default: info)

Usage with Claude Desktop

Add this to your claude_desktop_config.json:

{
  "mcpServers": {
    "pinecone-assistant": {
      "command": "docker",
      "args": [
        "run", 
        "-i", 
        "--rm", 
        "-e", 
        "PINECONE_API_KEY", 
        "-e", 
        "PINECONE_ASSISTANT_HOST", 
        "pinecone/assistant-mcp"
      ],
      "env": {
        "PINECONE_API_KEY": "<YOUR_PINECONE_API_KEY_HERE>",
        "PINECONE_ASSISTANT_HOST": "<YOUR_PINECONE_ASSISTANT_HOST_HERE>"
      }
    }
  }
}

Building from Source

If you prefer to build from source without Docker:

  1. Make sure you have Rust installed (https://rustup.rs/)
  2. Clone this repository
  3. Run cargo build --release
  4. The binary will be available at target/release/assistant-mcp
Testing with the inspector
export PINECONE_API_KEY=<YOUR_PINECONE_API_KEY_HERE>
export PINECONE_ASSISTANT_HOST=<YOUR_PINECONE_ASSISTANT_HOST_HERE>
# Run the inspector alone
npx @modelcontextprotocol/inspector cargo run
# Or run with Docker directly through the inspector
npx @modelcontextprotocol/inspector -- docker run -i --rm -e PINECONE_API_KEY -e PINECONE_ASSISTANT_HOST pinecone/assistant-mcp

License

This project is licensed under the terms specified in the LICENSE file.

Frequently asked questions

What is Assistant MCP?

Connect to your Pinecone Assistant and retrieve context from its knowledge engine.

How do I install Assistant MCP?

Follow the installation steps in its documentation, shown on this page and in its repository.

Is Assistant MCP open source?

Yes. Its code is on GitHub under the MIT license.

Who maintains Assistant MCP?

It is published by pinecone-io. AI.tn lists it but does not maintain or endorse it.

From the community awesome-mcp-servers lists and the project's GitHub repository. Listing is not an endorsement: review a server's code and permissions before giving it access to your data.