# Redis Graph MCP Server

> Use this tool when you need to query and analyze complex biomedical knowledge graphs, and solve problems such as concept discovery, entity disambiguation, and relationship extraction. It enables AI agents to retrieve relevant information through semantic relationships, concept search, and synonym enrichment. Ideal for use cases involving biomedical data integration, research, and insight generation.

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

## Description

Enables LLMs and AI agents to query a biomedical knowledge graph stored in RedisGraph, with tools for concept search, synonym enrichment, and study variable discovery through semantic relationships.

## Trust

- **Trust score (0–1):** 0.68
- **Verification tier:** scanned
- **Last scanned:** 2026-08-31

## Facts

- **Version:** 1.0.0
- **Skill type:** atomic
- **Execution layer:** mcp-remote
- **Runtime environment:** api
- **Category:** database
- **Updated:** 2026-08-31

## Source

- **Source listing:** [Glama](https://glama.ai/mcp/servers/o36vh9k2s0)
- **Repository:** <https://github.com/yskale/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": "yskale-redis-mcp-server"
    }
  }
}
```

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