Pinecone Assistant MCP Server: Agile Scaling, Real-Time Performance

Pinecone Assistant MCP Server empowers agile AI scaling, delivering real-time performance and seamless multi-cloud orchestration for enterprise innovation.

Visit Repository

✨ Research And Data

4.1(72 reviews)

108 saves

50 comments

Users create an average of 29 projects per month with this tool

About Pinecone Assistant MCP Server

What is Pinecone Assistant MCP Server: Agile Scaling, Real-Time Performance?

Imagine a superhero sidekick for your data queries—this is the Pinecone Assistant MCP Server! It’s a lightweight, fast server designed to fetch info from Pinecone Assistant, scaling effortlessly when you need it most. Think of it like a caffeine-powered librarian who never gets flustered, even during peak demand.

How to Use Pinecone Assistant MCP Server: Agile Scaling, Real-Time Performance?

Ready to harness its powers? Here’s the 3-step secret sauce:

Summon Docker: Build the image with docker build—easy as baking cookies.
Configure like a pro: Set your API key and host in env vars (we won’t judge if you whisper them).
Deploy and conquer: Run the server and watch it juggle requests like a circus performer.

Need to skip Docker? Rust developers can build from source—because sometimes compiling is more fun than TikTok.

Pinecone Assistant MCP Server Features

Key Features of Pinecone Assistant MCP Server: Agile Scaling, Real-Time Performance?

Agile Scaling: Scales like a gym rat on leg day—flexible and ready for anything.
Real-Time Performance: Delivers answers faster than a toddler demanding snacks. No lag zone here.
Configurable Results: Adjust result counts like a volume knob—perfect for picky users.
Logging Control: Set log levels to “debug,” “info,” or “shut-up-I’m-in-a-meeting.”

Use Cases of Pinecone Assistant MCP Server: Agile Scaling, Real-Time Performance?

Where’s this hero useful? Let’s see:

Claude Desktop Integration: Plug it into your setup with a JSON config—no manual wiring required.
Real-Time Data Feeds: Power chatbots, search engines, or any app that needs instant answers.
Custom Workflows: Hook it up to your CI/CD pipelines, IoT devices, or your grandma’s smart fridge.

Pinecone Assistant MCP Server FAQ

FAQ from Pinecone Assistant MCP Server: Agile Scaling, Real-Time Performance?

Do I need Docker to survive?: No! Build with Rust if you’re into that whole “no-container” vibe.
Can I tweak result numbers?: Absolutely! Configure how many answers you want—because sometimes less is more (unless you’re a data hoarder).
What’s with the “shut-up-I’m-in-a-meeting” log level?: Okay, it’s called “error,” but the sentiment stays.
Will this work with my pet project?: Yes! It’s open-source—hack, bend, and break it however you like. We don’t bite… much.

Content

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:

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.

Related MCP Servers & Clients

MCP Categories

Research And Data