# Redis MCP Server

> Use this tool when you need to manage and search data in Redis using natural language, enabling efficient data retrieval and manipulation. It solves problems related to complex data queries and retrieval, supporting various data structures such as hashes, lists, and sets. Ideal for use cases where AI agents require intuitive and flexible data interaction, with inputs including natural language queries and outputs including relevant data results.

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

## Description

Enables AI agents to manage and search data in Redis using natural language. Supports hashes, lists, sets, sorted sets, streams, JSON, and vector search.

## Trust

- **Trust score (0–1):** 0.70
- **Verification tier:** verified
- **Last scanned:** 2026-09-01

## Facts

- **Version:** 1.0.0
- **Skill type:** atomic
- **Execution layer:** mcp-remote
- **Runtime environment:** api
- **Category:** database
- **Updated:** 2026-09-01

## Source

- **Source listing:** [Glama](https://glama.ai/mcp/servers/c2v7g7wp80)
- **Repository:** <https://github.com/Yuchenhui/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": "yuchenhui-mcp-redis"
    }
  }
}
```

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