pinecone-io/assistant-mcp
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🎖️ 🦀 ☁️ - Connects to your Pinecone Assistant and gives the agent context from its knowledge engine.
Quick Install
One-Click IDE Configuration
claude_desktop_config.json
{
"mcpServers": {
"pinecone-io-assistant-mcp": {
"command": "npx",
"args": [
"-y",
"pinecone-io-assistant-mcp"
]
}
}
}Or
Using an AI coding agent (Claude Code, Cursor, etc.)? Copy a ready-made prompt that tells it to fetch the setup instructions and install this server for you.
Documentation Overview
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 keyPINECONE_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:
- Make sure you have Rust installed (https://rustup.rs/)
- Clone this repository
- Run
cargo build --release - 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.