Redis

Redis

v0.5.0
databasecacheredisvector-search

Summary

Redis's official MCP server — read and write every Redis data structure, including vector search and streams.

Features

  • Work with strings, hashes, lists, sets, sorted sets, and streams
  • Vector search over Redis indexes
  • Pub/sub and JSON document operations

Installation

Set up this MCP server in your favorite AI agent — copy a ready-made configuration below.

Any MCP-compatible agent

Most agents (Claude, Cursor, Windsurf, VS Code, and more) read a standard mcpServers configuration.

  1. Open your agent's MCP configuration file.
  2. Merge the snippet below into it, filling in the environment variables with your own values.
  3. Restart the agent — the "Redis" tools will be available.
{
  "mcpServers": {
    "redis": {
      "command": "uvx",
      "args": [
        "redis-mcp-server"
      ],
      "env": {
        "REDIS_HOST": "127.0.0.1",
        "REDIS_PORT": "6379"
      }
    }
  }
}

Description

Redis's official MCP server gives an assistant natural-language access to a Redis instance across the full range of data structures rather than just get and set.

Coverage

  • Core types. Strings, hashes, lists, sets, sorted sets, and their associated operations.
  • Streams for event data, including consumer group inspection.
  • JSON documents via RedisJSON.
  • Vector search over Redis indexes, which makes it usable as the retrieval layer for an agent as well as the cache.
  • Pub/sub for publishing and inspecting channels.
  • Server introspection — memory usage, key counts, and configuration.

Where it earns its place

Redis is usually the least-documented part of a system: keys are created by application code and their conventions live in someone's head. Being able to ask what a key contains, what its TTL is, and how many of a pattern exist turns debugging a cache problem into a conversation.

Installed with uvx redis-mcp-server and configured through environment variables, with support for TLS, Redis Cloud, and cluster mode.

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