# Redis MCP Server

> Use this tool when you need to manage and search data in Redis using natural language inputs, enabling agentic applications to efficiently query and retrieve data. It solves problems related to data retrieval and management by providing a user-friendly interface for searching and manipulating Redis data. Ideal for use cases where simple and intuitive data interaction is required, it accepts natural language queries as input and returns relevant data as output.

Canonical page: https://skillsregistry.net/skills/io-github-redis-mcp-redis  
JSON: https://api.skillsregistry.net/v1/skills/io-github-redis-mcp-redis

## Description

Natural language interface designed for agentic applications to manage and search data in Redis.

## Trust

- **Trust score (0–1):** 0.70
- **Verification tier:** unverified

## Facts

- **Version:** 0.3.6
- **Skill type:** atomic
- **Execution layer:** mcp-remote
- **Runtime environment:** api
- **Category:** database
- **Updated:** 2026-05-09

## Source

- **Source listing:** [MCP Registry](https://registry.modelcontextprotocol.io/v0/servers/io.github.redis%2Fmcp-redis)

## 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": "io-github-redis-mcp-redis"
    }
  }
}
```

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