Redis MCP: Give Your AI Agent Full Access to Redis —…
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    Redis MCP: Give Your AI Agent Full Access to Redis — Strings, Lists, Hashes, Queues, and Real-Time Pub/Sub
    mcp

    Redis MCP: Give Your AI Agent Full Access to Redis — Strings, Lists, Hashes, Queues, and Real-Time Pub/Sub

    curatedmcp June 13, 2026
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    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: Give Your AI Agent Full Access to Redis — Strings, Lists, Hashes, Queues, and Real-Time Pub/Sub

    What It Does

    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.

    How to Install

    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.

    Real-World Use Cases

    • Session & Cache Debugging: Ask Claude to fetch and inspect cached user sessions, clear stale keys, or check TTL expiry — useful when troubleshooting auth or personalization bugs.
    • Queue Management: Have your AI agent monitor job queues (LPUSH/RPOP), move failed jobs to a retry list, or peek at pending tasks without touching production code.
    • Rate Limit Enforcement: Build dynamic rate limiters where the agent increments counters with TTL, checks thresholds, and reports back — all in one conversation.

    Full install guides for Claude Desktop, Cursor, Windsurf, and more at CuratedMCP.

    Tags

    mcpaiclaudecursor

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