Redis MCP Server
@cbuitragoh
Redis MCP Server - Python implementation with docker
Overview
What is Redis MCP Server?
A containerized implementation of a Redis server with MCP (Model Control Protocol) integration, enabling AI assistants to perform Redis operations through a standard interface.
How to use Redis MCP Server?
Clone the repository, then run docker-compose up -d to start the services. The MCP server exposes operations like set_redis_key, get_redis_key, delete_redis_key, and list_redis_keys. Configuration is handled via environment variables (REDIS_HOST, REDIS_PORT, REDIS_DB, LOG_LEVEL). For Claude Desktop integration, add the provided Docker run configuration to your MCP settings.
Key features of Redis MCP Server
- Redis server with persistence
- MCP server integration for Redis operations
- Docker and Docker Compose support
- Comprehensive error handling and logging
- Environment‑based configuration
- Health checks for Redis service
Use cases of Redis MCP Server
- Set and retrieve key‑value pairs via AI chat interfaces
- Manage Redis keys and list them by pattern
- Containerized deployment for consistent environments
- Integrate Redis operations into LLM‑powered applications
FAQ from Redis MCP Server
What Redis operations does the MCP server provide?
It provides set_redis_key, get_redis_key, delete_redis_key, and list_redis_keys.
What are the prerequisites to run this server?
You need Docker and Docker Compose installed on your system.
How is Redis MCP Server configured?
It uses environment variables: REDIS_HOST (default: redis), REDIS_PORT (6379), REDIS_DB (0), and LOG_LEVEL (INFO).
Can I use Redis MCP Server with Claude Desktop?
Yes. Add a JSON configuration to your Claude Desktop settings that runs the Docker container with the correct network and arguments (see the README for the exact snippet).
Does the server support data persistence?
Yes, a “Redis server with persistence” is listed as a feature, though the README does not detail the persistence mechanism.
