Connect to your Pinecone Assistant and retrieve context from its knowledge engine.

ماذا يمكنك أن تفعل مع Assistant MCP؟

  • Retrieves information from Pinecone Assistant
  • Supports multiple results retrieval with a configurable number of results

التثبيت

خطوات التثبيت موجودة في التوثيق أدناه. التوثيق

التوثيق

مأخوذ من ملف README للمشروع على GitHub ويُحدَّث أسبوعيًا. تفتح الروابط على GitHub.

المحتويات
  1. Pinecone Assistant MCP Server
  2. Features
  3. Prerequisites
  4. Building with Docker
  5. Running with Docker
  6. Usage with Claude Desktop
  7. Building from Source
  8. License

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
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.

الأسئلة الشائعة

ما هو Assistant MCP؟

Connect to your Pinecone Assistant and retrieve context from its knowledge engine.

كيف أثبّت Assistant MCP؟

اتبع خطوات التثبيت في توثيقه المعروض في هذه الصفحة وفي مستودعه.

هل Assistant MCP مفتوح المصدر؟

نعم. شيفرته متاحة على GitHub بترخيص MIT.

من يصون Assistant MCP؟

ينشره pinecone-io. يدرجه AI.tn لكنه لا يصونه ولا يوصي به.

من القوائم المجتمعية awesome-mcp-servers ومستودع المشروع على GitHub. الإدراج ليس توصية: راجع شيفرة الخادم وصلاحياته قبل منحه الوصول إلى بياناتك.