MCP Redis Diagnostics MCP Server

MCP server for Redis diagnostics — analyze memory usage, slowlog, client connections, and keyspace health with AI-powered recommendations

Local serverstdio

What is the MCP Redis Diagnostics MCP server?

MCP server for Redis diagnostics — analyze memory usage, slowlog, client connections, and keyspace health with AI-powered recommendations. That is what the mcp redis diagnostics mcp server brings to an AI assistant: the same capability, reachable through the Model Context Protocol rather than a separate app or dashboard.

Getting it running

mcp-redis-diagnostics on npm is all you need. Most clients run it directly, so configuration is a few lines and a restart.

The tools it exposes

The server publishes 7 tools. What each one is for:

  • analyze_memory — The analyze_memory tool exposed by this server
  • analyze_slowlog — The analyze_slowlog tool exposed by this server
  • analyze_clients — The analyze_clients tool exposed by this server
  • analyze_keyspace — Analyze Redis keyspace distribution and cache effectiveness
  • analyze_latency — The analyze_latency tool exposed by this server
  • analyze_config — Analyze Redis configuration for security and reliability risks
  • analyze_performance — Comprehensive health assessment — runs all analyzers and produces a unified report

What it needs from you

Configuration is passed through the environment: REDIS_URL. Treat anything key-shaped as a real credential — scope it to the minimum the server needs, and rotate it if it ever lands in a shared config.

Things to watch

  • It runs with your machine's permissions. That is convenient and also the reason to think about what you point it at before you approve a tool call.
  • Missing credentials fail quietly in some clients — if no tools show up, check the environment block first.
  • Keep per-call confirmation enabled while you learn its behaviour; it is the cheapest safeguard you have.

How it compares

This sits in the database access group, where several servers overlap in what they claim to do but differ sharply once you actually set them up. MCP Redis Diagnostics's toolset — analyze_memory, analyze_slowlog, analyze_clients and 4 more — is a fair guide to whether it matches your workflow. It is maintained by dmitriusan; worth a glance at recent repository activity before you build anything load-bearing on it.

We check each listing at SyncDev against the project's documentation before it goes live — if something here drifts out of date, it is a bug worth reporting.

Available tools

ToolWhat it does
analyze_memoryThe analyze_memory tool exposed by this server.
analyze_slowlogThe analyze_slowlog tool exposed by this server.
analyze_clientsThe analyze_clients tool exposed by this server.
analyze_keyspaceAnalyze Redis keyspace distribution and cache effectiveness.
analyze_latencyThe analyze_latency tool exposed by this server.
analyze_configAnalyze Redis configuration for security and reliability risks.
analyze_performanceComprehensive health assessment — runs all analyzers and produces a unified report.

How to install the MCP Redis Diagnostics MCP server

{
  "mcpServers": {
    "redis-diagnostics": {
      "command": "npx",
      "args": ["-y", "mcp-redis-diagnostics"],
      "env": {
        "REDIS_URL": "redis://localhost:6379"
      }
    }
  }
}

Configuration as documented by the project. Restart the client after saving.

Configuration

VariableDescriptionRequired
REDIS_URLEndpoint or connection string the server talks to.Yes

Example prompts to try

  • Use MCP Redis Diagnostics to analyze memory.
  • Use MCP Redis Diagnostics to analyze slowlog.
  • Use MCP Redis Diagnostics to analyze clients.

Frequently asked questions

It connects MCP Redis Diagnostics to MCP-compatible AI assistants such as Claude and Cursor, exposing 7 tools (analyze_memory, analyze_slowlog, analyze_clients, and more) that the assistant can call on your behalf. Instead of copying data back and forth by hand, the assistant works with MCP Redis Diagnostics directly.