MCP Link: Empowering AI Agents with Real-World Tools 🌐🤖

Welcome to the MCP Link repository! This project allows AI agents like ChatGPT and Claude to utilize local and remote tools you approve. Through a browser extension and an optional MCP server, you can enhance the capabilities of your AI agents seamlessly.

Table of Contents

1. Introduction
2. Features
3. Installation
4. Usage
5. Contributing
6. License
7. Support
8. Acknowledgments

Introduction

MCP Link serves as a bridge between AI agents and real-world tools. By using this repository, you enable your AI to interact with various applications and services that you trust. This project focuses on providing a secure and efficient way to integrate AI into your daily workflows.

The MCP Link project is built around the Model Context Protocol (MCP), which facilitates seamless communication between AI models and external tools. With this, you can enhance your AI's functionality, making it a more powerful assistant in various tasks.

Features

• Browser Extensions: Available for Chrome, Firefox, and Safari, allowing easy integration with your preferred browser.
• MCP Server: An optional server that can enhance communication and functionality.
• Tool Approval System: Control which tools your AI agents can access, ensuring security and privacy.
• Semantic Search: Use advanced search techniques to find relevant information quickly.
• Docker Sandbox: Isolate your tools and agents for secure testing and deployment.
• AI Automation: Automate repetitive tasks with the help of AI.
• Integration with Various Tools: Connect with a wide range of applications, enhancing your AI's capabilities.

Installation

To get started with MCP Link, follow these steps:

Prerequisites

• Ensure you have a compatible browser (Chrome, Firefox, or Safari).
• For the MCP server, you will need Docker installed on your machine.

Steps

1. Clone the Repository:

   git clone https://github.com/10210wkkw/mcp-link.git
   cd mcp-link
   

2. Install Browser Extension:

   • For Chrome, visit the Chrome Web Store and search for "MCP Link".
   • For Firefox, find it on the Firefox Add-ons site.
   • For Safari, check the App Store.

3. Set Up MCP Server (Optional): If you choose to use the MCP server, run the following commands:

   docker build -t mcp-server .
   docker run -p 8080:8080 mcp-server
   

4. Download and Execute Releases: Visit the Releases section to download the latest version of the software. Follow the instructions provided in the release notes to execute it.

Usage

Once you have installed the browser extension and set up the MCP server, you can start using MCP Link.

Setting Up Your AI Agent

1. Open the browser extension.
2. Sign in with your credentials.
3. Approve the tools you want your AI agent to access.
4. Start interacting with your AI agent, providing it with tasks that involve the approved tools.

Example Use Cases

• AI-Assisted Research: Use your AI agent to gather data from various sources and compile reports.
• Automated Customer Support: Set up your AI to handle customer inquiries using approved tools.
• Personal Productivity: Automate scheduling, reminders, and task management through your AI agent.

Contributing

We welcome contributions to MCP Link! If you want to help improve the project, follow these steps:

1. Fork the Repository: Click on the "Fork" button at the top right corner of the page.
2. Create a New Branch:

   git checkout -b feature/YourFeature
   

3. Make Your Changes: Edit files as needed.
4. Commit Your Changes:

   git commit -m "Add your message here"
   

5. Push to Your Branch:

   git push origin feature/YourFeature
   

6. Open a Pull Request: Go to the original repository and click on "New Pull Request".

License

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

Support

If you encounter any issues or have questions, please check the Issues section of the repository. You can also reach out via email at support@mcp-link.com.

Acknowledgments

We would like to thank all contributors and users who have supported this project. Your feedback and contributions help us improve MCP Link and make it a better tool for everyone.

Thank you for exploring MCP Link! We hope you find it valuable for enhancing your AI agents with real-world tools. For the latest updates and releases, please visit the Releases section.