AI Master Control Program (MCP) Server

by GrizzFuOnYou

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AI

About

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

Explore

- 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) Server

Command (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

Setting up with Cursor

Open Cursor's settings
Navigate to the MCP section
Click "Add new Global MCP server"
Copy and paste the configuration below based on your operating system

JSON

{
    "mcpServers": {
        "ai master control program (mcp) server": {
            "master_mcp_server": {
                "command": "python",
                "args": [
                    "install.py"
                ]
            }
        }
    }
}

JSON

{
    "mcpServers": {
        "ai master control program (mcp) server": {
            "master_mcp_server": {
                "command": "python",
                "args": [
                    "install.py"
                ]
            }
        }
    }
}

JSON

{
    "mcpServers": {
        "ai master control program (mcp) server": {
            "master_mcp_server": {
                "command": "python",
                "args": [
                    "install.py"
                ]
            }
        }
    }
}

Setting up with Claude Desktop

Open Claude Desktop's settings
Go to the Integrations tab
Click "Add MCP Server"
Use the configuration below based on your operating system

Note: Make sure Claude Desktop is running before attempting to connect.

JSON

{
    "mcpServers": {
        "ai master control program (mcp) server": {
            "master_mcp_server": {
                "command": "python",
                "args": [
                    "install.py"
                ]
            }
        }
    }
}

JSON

{
    "mcpServers": {
        "ai master control program (mcp) server": {
            "master_mcp_server": {
                "command": "python",
                "args": [
                    "install.py"
                ]
            }
        }
    }
}

JSON

{
    "mcpServers": {
        "ai master control program (mcp) server": {
            "master_mcp_server": {
                "command": "python",
                "args": [
                    "install.py"
                ]
            }
        }
    }
}

Setting up with Windsurf

Open Windsurf's preferences
Go to the Integrations section
Click "Add MCP Integration"
Use the configuration below based on your operating system

JSON

{
    "mcpServers": {
        "ai master control program (mcp) server": {
            "master_mcp_server": {
                "command": "python",
                "args": [
                    "install.py"
                ]
            }
        }
    }
}

JSON

{
    "mcpServers": {
        "ai master control program (mcp) server": {
            "master_mcp_server": {
                "command": "python",
                "args": [
                    "install.py"
                ]
            }
        }
    }
}

JSON

{
    "mcpServers": {
        "ai master control program (mcp) server": {
            "master_mcp_server": {
                "command": "python",
                "args": [
                    "install.py"
                ]
            }
        }
    }
}

Setting up with Cline

Open Cline's settings
Navigate to the Integrations section
Click "Add MCP Server"
Copy and paste the configuration below based on your operating system

Note: Make sure to restart Cline after adding the configuration.

JSON

{
    "mcpServers": {
        "ai master control program (mcp) server": {
            "master_mcp_server": {
                "command": "python",
                "args": [
                    "install.py"
                ]
            }
        }
    }
}

JSON

{
    "mcpServers": {
        "ai master control program (mcp) server": {
            "master_mcp_server": {
                "command": "python",
                "args": [
                    "install.py"
                ]
            }
        }
    }
}

JSON

{
    "mcpServers": {
        "ai master control program (mcp) server": {
            "master_mcp_server": {
                "command": "python",
                "args": [
                    "install.py"
                ]
            }
        }
    }
}

Setting up with Goose

Open Goose's preferences
Go to the Integrations tab
Select "MCP Servers"
Click "Add New Server"
Use the configuration below based on your operating system

JSON

{
    "mcpServers": {
        "ai master control program (mcp) server": {
            "master_mcp_server": {
                "command": "python",
                "args": [
                    "install.py"
                ]
            }
        }
    }
}

JSON

{
    "mcpServers": {
        "ai master control program (mcp) server": {
            "master_mcp_server": {
                "command": "python",
                "args": [
                    "install.py"
                ]
            }
        }
    }
}

JSON

{
    "mcpServers": {
        "ai master control program (mcp) server": {
            "master_mcp_server": {
                "command": "python",
                "args": [
                    "install.py"
                ]
            }
        }
    }
}

From the repository

Prerequisites

- Python 3.8+
- Ollama (optional, for local model hosting)
- Claude Desktop (recommended default model)

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"
        ]
    }
}

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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Setting up with Highlight

From the repository

Prerequisites

Claude Desktop / Cursor

McpServers

Architecture

Installation

Prerequisites

Automated Installation

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