Pinecone Assistant MCP Server
About
An MCP server implementation for retrieving information from Pinecone Assistant. It allows users to query a Pinecone Assistant using their Pinecone API key and Assistant host.
Details
- Author
- pinecone-io
- GitHub stars
- 45
- Downloads
- 304
- Categories
- AI
Jump to
- Retrieves information from Pinecone Assistant
- Supports multiple results retrieval with a configurable number of results
- Docker-based deployment for easy setup
- Buildable from source via Rust and Cargo
Setting up with Highlight
This MCP is not yet compatible with Highlight’s one-click setup. However, you can still use it with Highlight by following these steps:
- Download and install Highlight from highlightai.com/download
- Navigate to the plugins tab and select "Add Custom Plugin"
-
Configure the plugin with the settings below
Plugin Name
Pinecone Assistant MCP ServerCommand (node, npx, python, etc.)Please refer to the README for specific instructions on how to obtain API keys or other required environment variables.
- Enable "Start Automatically" if you want the plugin to start when Highlight launches
From the repository
Deploy with Docker using the provided image and set the required environment variables (PINECONE_API_KEY). Optionally, set PINECONE_ASSISTANT_HOST. Build from source with Rust if preferred. Integrate with Claude Desktop by adding a Docker-based configuration to claude_desktop_config.json. Test using the MCP inspector.
Claude Desktop / Cursor
Paste into your MCP client config file to install this server.
{
"mcpServers": {
"pinecone assistant mcp server": {
"assistant-mcp": {
"command": "docker",
"args": [
"build",
"-t",
"pinecone/assistant-mcp",
"."
]
}
}
}
}McpServers
{
"assistant-mcp": {
"command": "docker",
"args": [
"build",
"-t",
"pinecone/assistant-mcp",
"."
]
}
}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
```sh export PINECONE_API_KEY=<YOUR_PINECONE_API_KEY_HERE> export PINECONE_ASSISTANT_HOST=<YOUR_PINECONE_ASSISTANT_HOST_HERE>Sign in to leave a review
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