https://github.com/itzemirkun/mcp
🚀 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 for developers creating next-generation AI applications!
https://github.com/itzemirkun/mcp
agent ai-agents ai-autom anthropic aws mcp-clients mcp-server minecraft model-context-protocol no-code-automation reverse-engineering typescript workflow-automation workflows
Last synced: 3 months ago
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🚀 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 for developers creating next-generation AI applications!
- Host: GitHub
- URL: https://github.com/itzemirkun/mcp
- Owner: ItzEmirKun
- Created: 2025-04-08T13:38:02.000Z (12 months ago)
- Default Branch: main
- Last Pushed: 2025-04-08T15:10:32.000Z (12 months ago)
- Last Synced: 2025-04-08T15:33:06.028Z (12 months ago)
- Topics: agent, ai-agents, ai-autom, anthropic, aws, mcp-clients, mcp-server, minecraft, model-context-protocol, no-code-automation, reverse-engineering, typescript, workflow-automation, workflows
- Language: Python
- Size: 63.5 KB
- Stars: 0
- Watchers: 1
- Forks: 0
- Open Issues: 0
-
Metadata Files:
- Readme: README.md
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README
# 🚀 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.
[](https://github.com/ItzEmirKun/mcp/releases)
## Table of Contents
- [Features](#features)
- [Installation](#installation)
- [Usage](#usage)
- [Contributing](#contributing)
- [License](#license)
- [Contact](#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**:
```bash
git clone https://github.com/ItzEmirKun/mcp.git
cd mcp
```
2. **Install Dependencies**:
Ensure you have Python installed. Then, install the required packages:
```bash
pip install -r requirements.txt
```
3. **Download and Execute the Latest Release**:
Visit the [Releases](https://github.com/ItzEmirKun/mcp/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**:
```bash
python mcp.py
```
2. **Connect to Your Server**:
Use the following command to connect to your server:
```bash
mcp connect
```
3. **Interact with the LLM**:
After connecting, you can send queries and receive responses from your LLM.
### Example Commands
- **Connecting to a Local Server**:
```bash
mcp connect http://localhost:5000
```
- **Sending a Query**:
```bash
mcp query "What is the capital of France?"
```
### Configuration
You can customize your settings in the `config.json` file. Here’s a sample configuration:
```json
{
"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.
```bash
git checkout -b feature/my-feature
```
3. **Make Changes**: Implement your changes and commit them.
```bash
git commit -m "Add my feature"
```
4. **Push to Your Fork**:
```bash
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](LICENSE) file for more details.
## Contact
For questions or suggestions, feel free to reach out:
- **Email**: [your-email@example.com](mailto:your-email@example.com)
- **GitHub**: [ItzEmirKun](https://github.com/ItzEmirKun)
Thank you for checking out MCP! We hope it enhances your AI projects. For more updates, visit the [Releases](https://github.com/ItzEmirKun/mcp/releases) section regularly.