# Redis

> Use this tool when you need to integrate fast, in-memory data storage and retrieval into AI workflows, such as caching intermediate results or maintaining session state. It provides a bridge between Model Context Protocol clients and Redis databases, supporting core Redis operations like GET, SET, and SCAN. Ideal for scenarios requiring low-latency data access, it offers a lightweight CLI tool with a Node.js server for easy integration with existing MCP setups.

Canonical page: https://skillsregistry.net/skills/farhankaz-redis  
JSON: https://api.skillsregistry.net/v1/skills/farhankaz-redis

## Description

This Redis MCP server, created by fahrankaz, provides a bridge between Model Context Protocol clients and Redis databases. It supports core Redis operations like GET, SET, SADD, SMEMBERS, ZADD, ZRANGE, ZRANGEBYSCORE, ZREM, HGET, HGETALL, HMSET, DEL, and SCAN. The implementation is designed as a lightweight CLI tool that starts a Node.js server, making it easy to integrate with existing MCP setups. It's particularly useful for scenarios requiring fast, in-memory data storage and retrieval within AI workflows, such as caching intermediate results or maintaining session state across multiple AI interactions.

## Trust

- **Trust score (0–1):** 0.97
- **Verification tier:** verified
- **Last scanned:** 2026-09-28

## Facts

- **Version:** 1.0.0
- **Skill type:** atomic
- **Execution layer:** mcp-remote
- **Runtime environment:** api
- **Category:** database
- **Updated:** 2026-09-28

## Source

- **Source listing:** [PulseMCP](https://www.pulsemcp.com/servers/farhankaz-redis)
- **Repository:** <https://github.com/farhankaz/redis-mcp>

## 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": "farhankaz-redis"
    }
  }
}
```

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

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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