Mcp Server Redis

Name: Mcp Server Redis
Author: prajwalnayak7

@prajwalnayak7

About Mcp Server Redis

MCP server to interact with Redis Server, AWS Memory DB, etc for caching or other use-cases where in-memory and key-value based storage is appropriate

Basic information

Config

Add this server to your MCP-compatible client using the configuration below.

{
  "mcpServers": {
    "mcp-server-redis": {
      "command": "python",
      "args": [
        "src/server.py"
      ]
    }
  }
}

Tools

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Overview

What is Mcp Server Redis?

Mcp Server Redis is an MCP server that provides Redis database integration, exposing Redis operations as resources and tools for MCP clients. It is built for developers using MCP-compatible applications (e.g., Claude Desktop) who need to interact with a Redis instance programmatically.

How to use Mcp Server Redis?

Install dependencies using uv (see pyproject.toml), configure the Redis connection via environment variables (refer to .env.example), and run the server with python src/server.py. The server can be tested with the MCP Inspector (mcp dev src/server.py) or installed in Claude Desktop (mcp install src/server.py).

Key features of Mcp Server Redis

Exposes Redis connection status and server info as resources
Provides tools for basic key-value operations (get, set, delete, increment)
Supports list, hash, and set data structure operations
Enables Pub/Sub messaging via publish_message tool
Automatic reconnection on connection loss
Error handling with meaningful responses

Use cases of Mcp Server Redis

Retrieve and update key-value pairs in Redis from an MCP client
Manipulate Redis lists, hashes, and sets using natural language commands
Publish messages to Redis Pub/Sub channels and inspect connection status
Automate Redis data management within Claude Desktop or other MCP hosts

FAQ from Mcp Server Redis

What Redis commands does Mcp Server Redis support?

It supports basic operations (get, set, delete, increment), list operations (push, range), hash operations (set, get), set operations (add, members), and Pub/Sub (publish). Additional Redis commands can be added by extending the server.

What are the runtime requirements?

Python 3.x and the uv package manager are required. Dependencies are managed via pyproject.toml and installed with uv sync.

How do I configure the Redis connection?

Copy .env.example to .env and set the appropriate environment variables (e.g., REDIS_URL). The exact variable names are not listed in the README; refer to the example file.