mcp-server-redis: A Redis MCP Server

The Model Context Protocol (MCP) is an open protocol that enables seamless integration between LLM applications and external data sources and tools. Whether you're building an AI-powered IDE, enhancing a chat interface, or creating custom AI workflows, MCP provides a standardized way to connect LLMs with the context they need.

This repository is an example of how to create an MCP server for managing Redis data.

Overview

A Model Context Protocol server for interacting with Redis. It provides tools for setting, retrieving, listing, and deleting keys in Redis.

Components

Tools

The server implements the following tools:

• set_value: Set a specified key to a given value

  • Takes a key (string) and a value (string)
  • Returns a confirmation message upon success

• get_value: Retrieve the value of a specified key

  • Takes a key (string)
  • Returns the value as a string, or None if the key does not exist

• list_keys: List Redis keys matching a given pattern

  • Takes a pattern (default: "*")
  • Returns a list of matching keys

• delete_key: Delete a specified key

  • Takes a key (string)
  • Returns the number of keys deleted (0 or 1)

Configuration

The server connects to Redis using the following environment variables (all are required):

• REDIS_HOST: Redis host
• REDIS_PORT: Redis port
• REDIS_DB: Redis database number
• REDIS_PASSWORD: Redis password

If any of these variables are missing, the server will raise an error during startup. Make sure to set each of these before running the server.

Quickstart

Claude Desktop

On MacOS: ~/Library/Application\ Support/Claude/claude_desktop_config.json
On Windows: %APPDATA%/Claude/claude_desktop_config.json

{
  "redis": {
    "command": "uvx",
    "args": [
      "mcp-server-redis"
    ]
  }
}

Development

Building and Publishing

To prepare the package for distribution:

1. Sync dependencies and update lockfile:

uv sync

2. Build package distributions:

uv build

This will create source and wheel distributions in the dist/ directory.

3. Publish to PyPI:

uv publish

Note: You'll need to set PyPI credentials via environment variables or command flags:

• Token: --token or UV_PUBLISH_TOKEN
• Or username/password: --username/UV_PUBLISH_USERNAME and --password/UV_PUBLISH_PASSWORD

Debugging

Since MCP servers run over stdio, debugging can be challenging. For the best debugging experience, we strongly recommend using the MCP Inspector.

You can launch the MCP Inspector via npm with this command:

npx @modelcontextprotocol/inspector uv --directory $(PWD) run mcp-server-redis

Upon launching, the Inspector will display a URL that you can access in your browser to begin debugging.