# mcp-umls

> mcp-umls — pipeworx-io-mcp-umls. Use this tool when you need to access and utilize the Unified Medical Language System (UMLS) terminology services, solving problems related to medical terminology integration and standardization. It provides an interface to the UMLS REST API, accepting queries and returning standardized medical terminology data. Ideal for applications requiring precise medical concept mapping and retrieval, such as healthcare data analytics and clinical decision support systems.

Canonical page: https://skillsregistry.net/skills/pipeworx-io-mcp-umls  
JSON: https://api.skillsregistry.net/v1/skills/pipeworx-io-mcp-umls

## Description

UMLS MCP — wraps the NLM UMLS Terminology Services REST API (uts-ws.nlm.nih.gov/rest)

## Trust

- **Trust score (0–1):** 0.97
- **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/pipeworx-io/mcp-umls)

## 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": "pipeworx-io-mcp-umls"
    }
  }
}
```

REST: `GET https://api.skillsregistry.net/v1/skills/pipeworx-io-mcp-umls` · pull for local use: `GET https://api.skillsregistry.net/v1/skills/pipeworx-io-mcp-umls/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