# Redis MCP Server

> Use this tool when you need to efficiently manage Redis database operations, such as setting, getting, and scanning hash fields, to solve data management problems. It provides a command-based interface using the Model Context Protocol (MCP) tools, accepting inputs like database commands and outputting results. Ideal for use cases requiring streamlined data storage and retrieval in Redis databases.

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

## Description

Enables users to perform Redis database operations using the Model Context Protocol (MCP) tools, allowing for efficient data management through commands like setting, getting, and scanning hash fields.

## Trust

- **Trust score (0–1):** 0.97
- **Verification tier:** verified
- **Last scanned:** 2026-09-19

## Facts

- **Version:** 1.0.0
- **Skill type:** atomic
- **Execution layer:** mcp-remote
- **Runtime environment:** api
- **Category:** database
- **Updated:** 2026-09-19

## Source

- **Source listing:** [Glama](https://glama.ai/mcp/servers/cbn7lsbp7h)
- **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-mcp"
    }
  }
}
```

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