# mcp-redis

> mcp-redis — redis-mcp-redis. Use this tool when you need to efficiently manage and search data in Redis using natural language interfaces, solving data retrieval and storage problems for agentic applications, with inputs of natural language queries and outputs of relevant data results. It provides a seamless interface for agents to interact with Redis databases, streamlining data management tasks. Ideal for use cases where agents require intuitive and efficient data access and manipulation.

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

## Description

The official Redis MCP Server is a natural language interface designed for agentic applications to manage and search data in Redis efficiently

## Trust

- **Trust score (0–1):** 0.99
- **Verification tier:** verified
- **Last scanned:** 2026-09-19

## Facts

- **Version:** 1.0.0
- **Skill type:** atomic
- **Execution layer:** container
- **Runtime environment:** vm
- **Category:** database
- **Updated:** 2026-09-28

## Source

- **Source listing:** [GitHub](https://github.com/redis/mcp-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": "redis-mcp-redis"
    }
  }
}
```

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