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Minds MCP Server

Official
by mindsdb
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Python
Remote

Minds MCP Server

An MCP (Model Context Protocol) server for Minds, allowing LLMs to interact with the Minds SDK through a standardized interface.

Installation

Install the required dependencies (virtual environment recommended)

python -m venv env
source env/bin/activate
pip install -r requirements.txt
pip install -r requirements-dev.txt

Related MCP server: Ollama MCP Server

Configuration

The server can be configured using environment variables:

FastMCP Settings

  • FASTMCP_DEBUG: Enable debug mode (default: false)

  • FASTMCP_LOG_LEVEL: Set log level (default: INFO)

  • FASTMCP_HOST: Host to bind to (default: 0.0.0.0)

  • FASTMCP_PORT: Port to bind to (default: 8000)

  • FASTMCP_SSE_PATH: Path for SSE events (default: /sse)

  • FASTMCP_MESSAGE_PATH: Path for messages (default: /messages/)

Minds Settings

Usage

Starting the Server

python -m server

Resource Templates

The server exposes the following resource templates according to the MCP specification:

  • minds://{api_key} - List all available Minds

  • minds://{mind_name}/{api_key} - Get a specific Mind by name

Tool Templates

The server provides the following tool templates:

  • completion - Generate a completion using a specified Mind

    • Parameters:

      • mind_name: The ID of the Mind to use

      • message: The message to complete

      • api_key: The Minds API key

Development

Running Tests

# Run all tests
python -m pytest

# Run only unit tests
python -m pytest tests/unit

Development Mode

For easier development, you can use the MCP development server:

mcp dev server.py

This will start the server and open the MCP Inspector in your browser for testing.

MCP Protocol

This server implements the Model Context Protocol (MCP), which provides:

  • Resource Templates: Parameterized URL patterns for retrieving data

  • Tool Templates: Function signatures for executing actions

  • Prompt Templates: Reusable interaction templates (not used in this server)

MCP clients can:

  1. Discover available resource and tool templates

  2. Instantiate templates with parameters

  3. Access resources and call tools in a standardized way

This server cannot be deployed

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Maintenance

ActivityInactive
ResponsivenessUnresponsive

Resources

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