🚀 MCP: The CLI-Based Universal AI Application Connector

by ItzEmirKun

389 downloads

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About

🚀 OpenClient- The CLI-Based Universal AI Application Connector! An open-source Model Context Protocol (MCP) implementation that turbocharges LLMs by context provisioning standardization. Quickly connect a server of your choice with our client to boost your AI capabilities. Ideal

Details

Author: ItzEmirKun
Downloads: 389
Categories: Developer Tools, Automation, AI

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 🚀 MCP: The CLI-Based Universal AI Application Connector

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": {
        "\ud83d\ude80 mcp: the cli-based universal ai application connector": {
            "mcp-itzemirkun": {
                "command": "python",
                "args": [
                    "mcp.py"
                ]
            }
        }
    }
}

JSON

{
    "mcpServers": {
        "\ud83d\ude80 mcp: the cli-based universal ai application connector": {
            "mcp-itzemirkun": {
                "command": "python",
                "args": [
                    "mcp.py"
                ]
            }
        }
    }
}

JSON

{
    "mcpServers": {
        "\ud83d\ude80 mcp: the cli-based universal ai application connector": {
            "mcp-itzemirkun": {
                "command": "python",
                "args": [
                    "mcp.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": {
        "\ud83d\ude80 mcp: the cli-based universal ai application connector": {
            "mcp-itzemirkun": {
                "command": "python",
                "args": [
                    "mcp.py"
                ]
            }
        }
    }
}

JSON

{
    "mcpServers": {
        "\ud83d\ude80 mcp: the cli-based universal ai application connector": {
            "mcp-itzemirkun": {
                "command": "python",
                "args": [
                    "mcp.py"
                ]
            }
        }
    }
}

JSON

{
    "mcpServers": {
        "\ud83d\ude80 mcp: the cli-based universal ai application connector": {
            "mcp-itzemirkun": {
                "command": "python",
                "args": [
                    "mcp.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": {
        "\ud83d\ude80 mcp: the cli-based universal ai application connector": {
            "mcp-itzemirkun": {
                "command": "python",
                "args": [
                    "mcp.py"
                ]
            }
        }
    }
}

JSON

{
    "mcpServers": {
        "\ud83d\ude80 mcp: the cli-based universal ai application connector": {
            "mcp-itzemirkun": {
                "command": "python",
                "args": [
                    "mcp.py"
                ]
            }
        }
    }
}

JSON

{
    "mcpServers": {
        "\ud83d\ude80 mcp: the cli-based universal ai application connector": {
            "mcp-itzemirkun": {
                "command": "python",
                "args": [
                    "mcp.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": {
        "\ud83d\ude80 mcp: the cli-based universal ai application connector": {
            "mcp-itzemirkun": {
                "command": "python",
                "args": [
                    "mcp.py"
                ]
            }
        }
    }
}

JSON

{
    "mcpServers": {
        "\ud83d\ude80 mcp: the cli-based universal ai application connector": {
            "mcp-itzemirkun": {
                "command": "python",
                "args": [
                    "mcp.py"
                ]
            }
        }
    }
}

JSON

{
    "mcpServers": {
        "\ud83d\ude80 mcp: the cli-based universal ai application connector": {
            "mcp-itzemirkun": {
                "command": "python",
                "args": [
                    "mcp.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": {
        "\ud83d\ude80 mcp: the cli-based universal ai application connector": {
            "mcp-itzemirkun": {
                "command": "python",
                "args": [
                    "mcp.py"
                ]
            }
        }
    }
}

JSON

{
    "mcpServers": {
        "\ud83d\ude80 mcp: the cli-based universal ai application connector": {
            "mcp-itzemirkun": {
                "command": "python",
                "args": [
                    "mcp.py"
                ]
            }
        }
    }
}

JSON

{
    "mcpServers": {
        "\ud83d\ude80 mcp: the cli-based universal ai application connector": {
            "mcp-itzemirkun": {
                "command": "python",
                "args": [
                    "mcp.py"
                ]
            }
        }
    }
}

From the repository

Clone the repository, install dependencies via pip install -r requirements.txt, and download the latest release. Run the application with python mcp.py, then connect to a server using mcp connect <server-url> and send queries with mcp query "text". Configuration is managed through the config.json file.

Claude Desktop / Cursor

Paste into your MCP client config file to install this server.

{
    "mcpServers": {
        "\ud83d\ude80 mcp: the cli-based universal ai application connector": {
            "mcp-itzemirkun": {
                "command": "python",
                "args": [
                    "mcp.py"
                ]
            }
        }
    }
}

McpServers

{
    "mcp-itzemirkun": {
        "command": "python",
        "args": [
            "mcp.py"
        ]
    }
}

🚀 MCP: The CLI-Based Universal AI Application Connector

Welcome to the MCP repository! This project implements the Model Context Protocol (MCP), designed to enhance large language models (LLMs) by standardizing context provisioning. With MCP, you can easily connect to your server of choice and elevate your AI capabilities. This open-source tool is perfect for developers looking to build the next generation of AI applications.

- Features
- Installation
- Usage
- Contributing
- License
- Contact

Features

- Open Source: MCP is fully open-source, allowing you to modify and enhance the code as you see fit.
- Universal Compatibility: Connect to any server easily, making it versatile for various applications.
- Standardized Context Provisioning: Boost your LLM's performance with standardized context management.
- Developer-Friendly: Built with developers in mind, offering a simple command-line interface (CLI) for quick setup and use.
- Extensive Documentation: Comprehensive guides and examples to help you get started quickly.

Installation

To install MCP, follow these simple steps:

1. Clone the Repository:

   git clone https://github.com/ItzEmirKun/mcp.git

   cd mcp

2. Install Dependencies:
Ensure you have Python installed. Then, install the required packages:

   pip install -r requirements.txt

3. Download and Execute the Latest Release:
Visit the Releases section to download the latest version. Follow the instructions provided there to execute the application.

Usage

Once installed, you can start using MCP. Here’s how to get started:

1. Run the Application:

   python mcp.py

2. Connect to Your Server:
Use the following command to connect to your server:

   mcp connect <your-server-url>

3. Interact with the LLM:
After connecting, you can send queries and receive responses from your LLM.

Example Commands

- Connecting to a Local Server:

   mcp connect http://localhost:5000

- Sending a Query:

   mcp query "What is the capital of France?"

Configuration

You can customize your settings in the config.json file. Here’s a sample configuration:

{
    "server_url": "http://localhost:5000",
    "timeout": 30,
    "max_tokens": 150
}

Contributing

We welcome contributions from everyone! Here’s how you can help:

1. Fork the Repository: Click on the fork button in the top right corner of the repository page.
2. Create a Branch: Create a new branch for your feature or bug fix.

   git checkout -b feature/my-feature

3. Make Changes: Implement your changes and commit them.

   git commit -m "Add my feature"

4. Push to Your Fork:

   git push origin feature/my-feature

5. Open a Pull Request: Go to the original repository and create a pull request.

License

This project is licensed under the MIT License. See the LICENSE file for more details.

Contact

For questions or suggestions, feel free to reach out:

- Email: your-email@example.com
- GitHub: ItzEmirKun

Thank you for checking out MCP! We hope it enhances your AI projects. For more updates, visit the Releases section regularly.

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🚀 MCP: The CLI-Based Universal AI Application Connector

About

Details

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Setting up with Highlight

Setting up with Cursor

JSON

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Setting up with Claude Desktop

JSON

JSON

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Setting up with Windsurf

JSON

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Setting up with Cline

JSON

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Setting up with Goose

JSON

JSON

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From the repository

Claude Desktop / Cursor

McpServers

🚀 MCP: The CLI-Based Universal AI Application Connector

Table of Contents

Features

Installation

Usage

Example Commands

Configuration

Contributing

License

Contact

Install

About

Details

Jump to

Setting up with Highlight

From the repository

Claude Desktop / Cursor

McpServers

🚀 MCP: The CLI-Based Universal AI Application Connector

Table of Contents

Features

Installation

Usage

Example Commands

Configuration

Contributing

License

Contact

Install

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