# redis-mcp-server

> redis-mcp-server — futuretea-redis-mcp-server. Use this tool when you need to manage and serve model contexts using the Model Context Protocol (MCP) with Redis as the backend, solving problems related to model management and deployment. It provides an interface for model context creation, retrieval, and updates, accepting MCP requests and returning relevant model context data. Ideal for use cases involving machine learning model serving and management in Redis-based environments.

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

## Description

A Model Context Protocol (MCP) server for Redis

## Trust

- **Trust score (0–1):** 0.88
- **Verification tier:** verified
- **Last scanned:** 2026-09-28

## Facts

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

## Source

- **Source listing:** [GitHub](https://github.com/futuretea/redis-mcp-server)

## 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": "futuretea-redis-mcp-server"
    }
  }
}
```

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