AI Master Control Program (MCP) Server
About
AI Master Control Program (MCP) Server - Enabling AI models to interact with your system
Details
- Author
- GrizzFuOnYou
- Downloads
- 151
- Categories
- Other, AI
Jump to
- 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.
Setting up with Highlight
This MCP is not yet compatible with Highlight’s one-click setup. However, you can still use it with Highlight by following these steps:
- Download and install Highlight from highlightai.com/download
- Navigate to the plugins tab and select "Add Custom Plugin"
-
Configure the plugin with the settings below
Plugin Name
AI Master Control Program (MCP) ServerCommand (node, npx, python, etc.)Please refer to the README for specific instructions on how to obtain API keys or other required environment variables.
- Enable "Start Automatically" if you want the plugin to start when Highlight launches
From the repository
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.
Claude Desktop / Cursor
Paste into your MCP client config file to install this server.
{
"mcpServers": {
"ai master control program (mcp) server": {
"master_mcp_server": {
"command": "python",
"args": [
"install.py"
]
}
}
}
}
McpServers
{
"master_mcp_server": {
"command": "python",
"args": [
"install.py"
]
}
}
AI Master Control Program (MCP) Server
The AI MCP Server enables AI models, including locally hosted models with Ollama and Claude Desktop, to interact with your computer system. It acts as a bridge that allows AI models to:
- Execute system commands
- Create, read, update, and delete files
- Control other programs
- Communicate with each other
Architecture
The system consists of:
1. MCP Server: Central server that processes requests from AI models
2. Client Library: Enables easy integration with AI models
3. Model Connectors: Interfaces with various AI model backends (Ollama, Claude Desktop, etc.)
4. Task Execution Engine: Performs system operations and program control
Installation
Prerequisites
- Python 3.8+
- Ollama (optional, for local model hosting)
- Claude Desktop (recommended default model)
Automated Installation
For quick and easy installation, use the provided installation script:
```bash
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