Redis MCP
Key-value operations and caching for AI agents
How to Install Redis MCP
$npx @modelcontextprotocol/server-redisRequires Claude Desktop, Cursor, Windsurf, or another MCP-compatible client.
About Redis MCP
The Redis MCP server gives AI agents access to Redis key-value operations — get, set, delete, expire, pub/sub, and stream reads. Useful for agents that need to read shared state, check cache, or push to queues.
Redis MCP is a Database MCP server designed for developers, analysts, and data teams. It enables querying and managing databases from an AI assistant by exposing schema introspection and SQL execution as MCP tools. Key capabilities include schema introspection across tables and views, parameterised sql execution, read-only and read/write modes, and structured tool calls that work cleanly inside an LLM context. It integrates with Postgres, MySQL, SQLite, MongoDB, Redis, BigQuery, and Snowflake, and is best suited for developers, analysts, and data teams who need ad-hoc analytics without a bi tool.
Key Features
- redis
- cache
- key-value
- queue
- Schema introspection across tables and views
- Parameterised SQL execution
Pricing
- Core MCP server
- Community support
- Works with any MCP client
- Everything in Free
- Higher usage limits
- Priority support
- Everything in Pro
- SLA & SSO
- Dedicated support
Tier details are indicative — visit the Redis MCP website for current pricing.
Pros & Cons
Pros
- Lets the assistant write and run real queries instead of guessing
- Read-only mode is safe to point at production-shaped data
- Skips most ORM and CSV-shuffling boilerplate
Cons
- Misconfigured permissions can expose sensitive data
- Long-running queries need explicit timeouts
- Schema drift requires reconnecting or refreshing context
Best For
- Ad-hoc analytics without a BI tool
- Drafting migrations and reviewing query plans
- Letting non-SQL teammates ask questions of a database
- Bootstrapping internal admin workflows
Screenshots
Screenshots coming soon —
Submit yours →Our Take on Redis MCP
Lightweight and fast — perfect for agents that need to read or write ephemeral state.