Pinecone Assistant MCP Server
Pinecone Assistant MCP server
pinecone-io
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:
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.
Recommended Servers
Sequential Thinking MCP Server
This server facilitates structured problem-solving by breaking down complex issues into sequential steps, supporting revisions, and enabling multiple solution paths through full MCP integration.
dbt Semantic Layer MCP Server
A server that enables querying the dbt Semantic Layer through natural language conversations with Claude Desktop and other AI assistants, allowing users to discover metrics, create queries, analyze data, and visualize results.
mixpanel
Connect to your Mixpanel data. Query events, retention, and funnel data from Mixpanel analytics.
MCP PubMed Search
Server to search PubMed (PubMed is a free, online database that allows users to search for biomedical and life sciences literature). I have created on a day MCP came out but was on vacation, I saw someone post similar server in your DB, but figured to post mine.
Crypto Price & Market Analysis MCP Server
A Model Context Protocol (MCP) server that provides comprehensive cryptocurrency analysis using the CoinCap API. This server offers real-time price data, market analysis, and historical trends through an easy-to-use interface.
Vectorize
Vectorize MCP server for advanced retrieval, Private Deep Research, Anything-to-Markdown file extraction and text chunking.
Nefino MCP Server
Provides large language models with access to news and information about renewable energy projects in Germany, allowing filtering by location, topic (solar, wind, hydrogen), and date range.
MATLAB MCP Server
Integrates MATLAB with AI to execute code, generate scripts from natural language, and access MATLAB documentation seamlessly.
Macrostrat MCP Server
Enables Claude to query comprehensive geologic data from the Macrostrat API, including geologic units, columns, minerals, and timescales through natural language.
MCP Word Counter
A Model Context Protocol server that provides tools for analyzing text documents, including counting words and characters. This server helps LLMs perform text analysis tasks by exposing simple document statistics functionality.