
Install guide and config at curatedmcp.com Redis MCP: Give Your AI Agent Full Access to...
Install guide and config at curatedmcp.com
Redis MCP bridges AI agents and Redis, letting Claude, Cursor, and other AI tools read and write to your Redis instance using natural language. Instead of manually writing Redis commands, you can ask your AI agent to "get the user session for ID 42" or "add this job to the processing queue" — and it handles the Redis operations.
The server supports the full Redis API: strings with TTL, lists (perfect for queues), hashes for structured data, sets for unique collections, and sorted sets for leaderboards. You also get key inspection, transactions, Lua scripting, and pub/sub messaging. Works with Redis, Redis Cluster, Sentinel, and managed services like Upstash, AWS ElastiCache, and Azure Cache.
Why this matters: AI agents can now manage application state, handle rate limits, orchestrate job queues, and subscribe to real-time channels — all without you writing boilerplate code.
uvx mcp-server-redis
Add to your Claude Desktop config (~/Library/Application Support/Claude/claude_desktop_config.json on macOS):
{
"mcpServers": {
"redis-mcp": {
"command": "uvx mcp-server-redis",
"env": {
"REDIS_URL": "redis://localhost:6379"
}
}
}
}
Point REDIS_URL to your Redis instance. Restart Claude Desktop and you're live.
Full install guides for Claude Desktop, Cursor, Windsurf, and more at CuratedMCP.
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