MCP Redis

🚀 Redis MCP Server

The Redis MCP (Model Context Protocol) Server is a Redis-based protocol implementation that supports the interaction of AI models within contexts. This project aims to provide efficient data storage and retrieval capabilities through Redis, suitable for various application scenarios requiring real-time data processing.

🚀 Quick Start

The Redis MCP Server is designed to support AI model interaction within contexts. Here's a basic guide to get you started:

Installation

1. Clone the repository:

git clone https://github.com/redis/mcp-redis.git
cd mcp-redis

2. Install dependencies:

pip install -r requirements.txt

Starting the Server

To start the MCP server, run the following command:

uv run src/main.py

✨ Features

• Data Storage and Retrieval: Utilize Redis's key-value storage system to quickly access model context data.
• Protocol Support: Implement the Model Context Protocol to facilitate interaction with AI models.
• High Availability: Ensure system stability and reliability through Redis's cluster mode.

📦 Installation

Project Dependencies

1. Python 3.8 or higher
2. Redis 6.x series

Installation Steps

1. Clone the repository:

git clone https://github.com/redis/mcp-redis.git
cd mcp-redis

2. Install dependencies:

pip install -r requirements.txt

💻 Usage Examples

Basic Usage

Start the MCP server:

uv run src/main.py

Advanced Usage

The server can be integrated into various applications, such as:

• AI Assistants: Enable large language models (LLMs) to interact with Redis storage through the MCP protocol for efficient context data management.
• Chatbots: Retrieve user historical data from Redis in real-time during conversations to enhance the user experience.
• Data Analysis: Leverage Redis's fast query capabilities to provide users with real-time data analysis results.

📚 Documentation

Configuration Files

The project's configuration files are located in the config directory and include the following:

• Redis Connection Information: Specify the address, port, and authentication information for the Redis service.
• Logging Settings: Define the server's log output level and storage path.

Contribution Guide

1. Fork the repository to your local machine.
2. Create a feature branch (feature-branch).
3. Commit your code changes.
4. Push to your branch and submit a pull request!

📄 License

This project is licensed under the MIT License.

💬 Issue Reporting

If you have any questions or need support, please contact us via GitHub Issues.