Pinecone Assistant MCP Server

Pinecone Assistant MCP Server

An MCP server for retrieving information from Pinecone Assistant.

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Pinecone Assistant MCP Server is an implementation of the Model Context Protocol (MCP) for seamless integration with Pinecone Assistant. It enables retrieval of information and supports configurable multiple result fetching. The server can be run via Docker or built from source with Rust and integrates with tools like Claude Desktop.

Key Features

Implements Model Context Protocol server
Retrieves information from Pinecone Assistant
Supports multiple results with configurable retrieval
Docker image for easy deployment
Builds from source via Rust
Environment variable configuration
Integration with Claude Desktop
Configurable logging levels
Compatible with MCP inspector tool
Supports secure API key management

Use Cases

Seamless integration of Pinecone Assistant into MCP-compliant AI workflows
Automating information retrieval from Pinecone Assistant endpoints
Testing and debugging MCP integrations using inspector tools
Embedding Pinecone Assistant retrieval in custom AI applications
Deploying as a microservice using Docker in production environments
Context enrichment for LLM and assistant-based solutions
Enabling multi-result retrieval for advanced search cases
Supporting developers building MCP-compliant tools
Efficient context management in platform-agnostic deployments
Centralizing API key and host management for Pinecone integrations

README

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:

sh
docker build -t pinecone/assistant-mcp .

Running with Docker

Run the server with your Pinecone API key:

sh
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:

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

sh
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.

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Repository Owner

pinecone-io
pinecone-io

Organization

Repository Details

Language Rust
Default Branch main
Size 14 KB
Contributors 1
License MIT License
MCP Verified Nov 12, 2025

Programming Languages

Rust
94.08%
Dockerfile
5.92%

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