# mcp-redis-diagnostics

> Use this tool when you need to diagnose and optimize Redis performance issues, as it provides in-depth analysis of memory, slowlog, clients, keyspace, latency, and config, and offers AI-powered recommendations for improvement. It takes Redis instance data as input and outputs detailed diagnostic reports and suggestions for optimization. Ideal for use in troubleshooting and performance tuning scenarios where Redis is a critical component.

Canonical page: https://skillsregistry.net/skills/dmitriusan-mcp-redis-diagnostics  
JSON: https://api.skillsregistry.net/v1/skills/dmitriusan-mcp-redis-diagnostics

## Description

A lightweight npm MCP server for deep Redis diagnostics, offering tools for memory, slowlog, clients, keyspace, latency, and config analysis with AI-powered recommendations.

## Trust

- **Trust score (0–1):** 0.70
- **Verification tier:** verified
- **Last scanned:** 2026-09-03

## Facts

- **Version:** 1.0.0
- **Skill type:** atomic
- **Execution layer:** mcp-remote
- **Runtime environment:** api
- **Category:** database
- **Updated:** 2026-09-03

## Source

- **Source listing:** [Glama](https://glama.ai/mcp/servers/yc62rk5t6z)
- **Repository:** <https://github.com/Dmitriusan/mcp-redis-diagnostics>

## Use it

Resolve this record through the SkillsRegistry MCP server (no auth, read-only):

```
claude mcp add --transport http --scope user skillsregistry https://api.skillsregistry.net/mcp
```

```json
{
  "jsonrpc": "2.0",
  "id": 1,
  "method": "tools/call",
  "params": {
    "name": "get_skill",
    "arguments": {
      "slug": "dmitriusan-mcp-redis-diagnostics"
    }
  }
}
```

REST: `GET https://api.skillsregistry.net/v1/skills/dmitriusan-mcp-redis-diagnostics` · pull for local use: `GET https://api.skillsregistry.net/v1/skills/dmitriusan-mcp-redis-diagnostics/pull`

---
SkillsRegistry indexes agent skills from public registries and GitHub. Skills we have analysed are scanned with Circle-IR and scored on six dimensions; each listing states its scan coverage. More: https://skillsregistry.net/llms.txt
