mm-mcp

mizall90/mm-mcp

3.1

If you are the rightful owner of mm-mcp and would like to certify it and/or have it hosted online, please leave a comment on the right or send an email to henry@mcphub.com.

This is a ModelManager MCP server that provides a REST API for ModelManager tools.

The ModelManager MCP Server is designed to facilitate the integration and management of machine learning models through a REST API. It serves as a bridge between various ModelManager tools and the underlying infrastructure, allowing for seamless deployment, scaling, and monitoring of models. The server can be configured to run locally or within a Docker container, providing flexibility in deployment options. It supports secure communication through environment variables and can be integrated with different platforms such as windsurf, vscode, and claude desktop.

Features

  • REST API for ModelManager tools
  • Local and Docker deployment options
  • Secure communication with environment variables
  • Integration with multiple platforms
  • Scalable and flexible model management

Usages

local configuration

{
  "mcpServers": {
    "mm-mcp": {
      "command": "mm-mcp/.venv/bin/mcp",
      "args": ["run", "mm-mcp/server/mm.py"]
    }
  }
}

docker configuration

{
  "mcpServers": {
    "mm-mcp-docker": {
      "command": "docker",
      "args": [
        "run",
        "--rm",
        "-i",
        "--network=host",
        "-e",
        "SECRET_KEY",
        "-e",
        "MM_API_BASE_URL",
        "modelmanagerdev/mcp:v1"
      ],
      "env": {
        "SECRET_KEY": "your-secret-key",
        "MM_API_BASE_URL": "your-api-base-url"
      }
    }
  }
}