Memory MCP Server

🚀 Memory MCP Server

This project implements the Model Context Protocol (MCP), providing long - term memory capabilities for Large Language Models (LLMs).

🚀 Quick Start

Welcome to the Memory MCP Server! As the demand for more context - aware AI applications grows, this server serves as a bridge, enabling LLMs to retain and retrieve information from long - term interactions.

✨ Features

• Long - term Memory: Store and retrieve the context of LLMs, enhancing their ability to provide relevant responses.
• Model Context Protocol: Follow the MCP standard to achieve seamless integration with various LLM architectures.
• User - friendly API: An easy - to - use API that helps developers integrate memory functionality into their applications.
• Scalability: Designed to handle multiple requests and scale as needed.

📦 Installation

To start using the Memory MCP Server, follow these steps:

1. Clone the repository:

git clone https://github.com/Sinhan88/memory-mcp-server.git

2. Navigate to the project directory:

cd memory-mcp-server

3. Install dependencies: Ensure you have Python and pip installed. Then run:

pip install -r requirements.txt

4. Run the server: Execute the following command to start the server:

python app.py

💻 Usage Examples

Basic Usage

Once the server is running, you can interact with it using the API endpoints. Here is a quick guide:

API Endpoints

• Store Memory: Send a POST request to /store with the following JSON body:

{
    "context": "Your context content",
    "model_id": "Unique model identifier"
}

• Retrieve Memory: Send a GET request to /retrieve?model_id=unique_model_identifier.

Example Requests

Using curl, you can test the API as follows:

1. Store Memory:

curl -X POST http://localhost:5000/store -H "Content-Type: application/json" -d '{"context": "I love programming.", "model_id": "model_1"}'

2. Retrieve Memory:

curl http://localhost:5000/retrieve?model_id=model_1

🤝 Contribution

We welcome contributions to the Memory MCP Server! If you'd like to help, follow these steps:

1. Fork the repository: Click the "Fork" button at the top - right of this page.
2. Create a branch:

git checkout -b feature/YourFeature

3. Make changes: Edit the code, add features, or fix bugs.
4. Commit changes: Commit your changes with clear commit messages.
5. Submit a pull request: Submit a pull request to the main branch on GitHub.

📄 License

The project uses the MIT license. For more details, see the LICENSE file.

📞 Contact

If you have any questions or feedback, please contact [Email Address] or submit an issue in the GitHub repository.

📤 Release Versions

Thank you for visiting the Memory MCP Server repository! We hope you find useful content in this project for development related to LLMs and long - term memory.