AI Master Control Program (MCP) Server

@GrizzFuOnYou

リポジトリ

基本情報

カテゴリ

その他

トランスポート

stdio

作者

GrizzFuOnYou

AI Master Control Program (MCP) Server について

AI Master Control Program (MCP) Server - Enabling AI models to interact with your system

#mcp #ai #server

AI Master Control Program (MCP) Server の設定

以下の設定を使って、このサーバーを MCP 対応クライアントに追加してください。

{
  "mcpServers": {
    "master_mcp_server": {
      "command": "python",
      "args": [
        "install.py"
      ]
    }
  }
}

AI Master Control Program (MCP) Server のツール

ツール一覧はまだありません

この掲載には表示できるツール一覧がまだありません。サーバーにツールがないという意味ではありません。対応機能はプロジェクトのドキュメントをご確認ください。

ツールは README から自動的に抽出されます。メンテナーは ## Tools という見出しの下に記載することで、このタブに反映できます。

概要

What is AI Master Control Program (MCP) Server?

AI Master Control Program (MCP) Server acts as a bridge that enables AI models—including locally hosted models with Ollama and Claude Desktop—to interact with your computer system. It allows AI models to execute system commands, create, read, update, and delete files, control other programs, and communicate with each other. The server is designed for users who want to give AI agents secure, programmatic access to system operations.

How to use AI Master Control Program (MCP) Server?

Clone the repository, run python install.py (or follow manual setup) to install dependencies. Start the server using the platform‑specific startup script (start_mcp_server.bat on Windows, ./start_mcp_server.sh on Linux/Mac) or manually with python startup.py. Then use the MCPClient library to connect AI models (e.g., Claude Desktop or Ollama), specifying the model ID, type, and configuration. Once connected, invoke methods such as execute_system_command, write_file, or start_program to perform operations.

Key features of AI Master Control Program (MCP) Server

Central MCP server that processes requests from AI models.
Client library for easy integration with AI models.
Model connectors for Ollama and Claude Desktop backends.
Task execution engine for system operations and program control.
API key authentication and logging of all operations.
Extensible design to support additional model backends and capabilities.

Use cases of AI Master Control Program (MCP) Server

Automate file management and system commands via an AI assistant.
Enable AI models to start or stop programs on the local machine.
Allow multiple AI models to communicate and coordinate tasks.
Provide a controlled interface for AI to interact with the operating system.

よくある質問

What dependencies are required?

Python 3.8+ is required. Ollama (optional) is needed for local model hosting; Claude Desktop (recommended default) is used as the primary AI model. All Python dependencies are installed via `pip install -r requirements.txt

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