Redis MCP is the official Redis MCP server, a natural language interface that lets agentic applications manage and search data in Redis. It exposes tools across Redis data types so an AI agent can cache values, store conversation state, and run vector similarity search without writing raw Redis commands. It is open source under the MIT license.

LCLouis CorneloupUpdated Jul 21, 2026 · how we evaluateSourcegithub.com ↗

Pros & Cons

Pros

Broad coverage of Redis data types in one server
Native vector search support, useful for AI memory and RAG
Open source (MIT) and free to self-host

Cons

Requires a running Redis instance and connection credentials
Wide write access to your keyspace, so scoping and review matter
Value depends on how you have structured your Redis data

Preview

Key Features

Manage strings, hashes, lists, sets, and sorted setsStore and query JSON documents with path-based accessCreate vector indexes and run vector similarity searchWork with streams and pub/sub messagingManage sessions and caching with key expirationRetrieve server and database information

Pricing Plans

Pricing checked Jul 31, 2026

Open Source

Free

Full source code access
Community support
Self-hosted

Calculate your cost View full pricing

Is Redis MCP worth the price?

85/100

The pricing is fair and generous for developers who want full control, as the Open Source tier is free with no hidden costs.

However, the lack of paid tiers or managed options means users must handle hosting and scaling themselves, which can incur infrastructure costs. This is best for teams comfortable with self-hosting and avoiding vendor lock-in.

Hidden Costs & Gotchas

Self-hosting requires server and maintenance costs

No official support beyond community forums

Scaling may need additional Redis infrastructure

No managed security updates or patches

Must handle backups and disaster recovery yourself

How Redis MCP Compares to Competitors

Compared to managed Redis services like Redis Enterprise Cloud or Upstash, this open source tier is free but lacks built-in scaling, security, and support. It offers better value for developers who prefer self-hosting over paying for proprietary managed solutions, but requires more operational effort.