Redis

v0.1.0Databasesstable

MCP server that exposes Redis API to AI models

io-github-daedalus-mcp-redismcpai-integration
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What is Redis?

Redis is a Model Context Protocol (MCP) server that allows AI assistants like Claude, Cursor, and VS Code to mcp server that exposes redis api to ai models

MCP server that exposes Redis API to AI models

This server falls under the Databases category on MCPgee, the world's largest MCP server directory with 33,000+ servers.

Features

  • MCP server that exposes Redis API to AI models

Use Cases

Access Redis databases for caching and data operations.
Manage key-value storage through an AI interface.
Community

Maintainer

LicenseMIT
Languagepython
Versionv0.1.0
UpdatedMar 31, 2026
Statushealthy
Maintenanceactive

Works with

ClaudeOpenAIwindowsmacoslinux

Installation

PIP

pip install mcp-redis-server

Manual Installation

pip install mcp-redis-server

Configuration

Configuration Details

Config File

claude_desktop_config.json

Performance

Response Metrics

Response Time< 200ms
ThroughputMedium

Resource Usage

Memory UsageLow
CPU UsageLow

Frequently Asked Questions about Redis

What is Redis?

Redis is a Model Context Protocol (MCP) server that mcp server that exposes redis api to ai models It connects AI assistants to external tools and data sources through a standardized interface.

How do I install Redis?

Install via pip with: pip install mcp-redis-server. Then configure your AI client to connect to this MCP server.

Which AI clients work with Redis?

Redis works with all major MCP-compatible AI clients including Claude Desktop, Claude Code, Cursor, VS Code (GitHub Copilot), Windsurf, and Cline.

Is Redis free to use?

Yes, Redis is open source and available under the MIT license. You can use it freely in both personal and commercial projects.

Browse More Databases MCP Servers

Explore all databases servers available in the MCPgee directory. Each server includes setup guides for Claude, Cursor, and VS Code.

Quick Config Preview

{ "mcpServers": { "io-github-daedalus-mcp-redis": { "command": "pip", "args": ["install", "mcp-redis-server"] } } }

Add this to your claude_desktop_config.json or .cursor/mcp.json

Read the full setup guide →

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