# mcp-kg-server

> mcp-kg-server — chwsvveuiygbfiw-mcp-kg-server. Use this tool when you need to integrate medical knowledge into your AI applications, enabling searches, drug compatibility checks, and symptom-based medication recommendations. It solves problems related to medical data retrieval and analysis, providing a comprehensive knowledge graph of Western and TCM drugs, diseases, and symptoms. The tool accepts queries as input and returns relevant medical information as output, ideal for use cases requiring localized medical knowledge retrieval and decision support.

Canonical page: https://skillsregistry.net/skills/chwsvveuiygbfiw-mcp-kg-server  
JSON: https://api.skillsregistry.net/v1/skills/chwsvveuiygbfiw-mcp-kg-server

## Description

MCP server exposing a medical knowledge graph (289 Western drugs, 204 TCM drugs, diseases, symptoms) as MCP tools. Enables AI agents to search drugs, check drug compatibility, and query symptoms-to-medication recommendations locally.

## Trust

- **Trust score (0–1):** 0.70
- **Verification tier:** verified
- **Last scanned:** 2026-08-29

## Facts

- **Version:** 1.0.0
- **Skill type:** atomic
- **Execution layer:** mcp-remote
- **Runtime environment:** api
- **Category:** ai-ml
- **Updated:** 2026-08-29

## Source

- **Source listing:** [Glama](https://glama.ai/mcp/servers/qlax3ocnku)
- **Repository:** <https://github.com/chwsvveuiygbfiw/mcp-kg-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": "chwsvveuiygbfiw-mcp-kg-server"
    }
  }
}
```

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