# fhir-terminology-server-mcp-wrapper

> fhir-terminology-server-mcp-wrapper — viniciusfinger-fhir-terminology-server-mcp-wrapper. Use this tool when you need to integrate FHIR Terminology services with AI and LLM systems, solving interoperability issues and providing structured access to terminology data. It exposes existing terminology servers as AI-friendly tools, accepting standardized FHIR inputs and producing machine-readable outputs. Ideal for use cases requiring seamless connectivity to terminology servers, such as healthcare data analysis and clinical decision support.

Canonical page: https://skillsregistry.net/skills/viniciusfinger-fhir-terminology-server-mcp-wrapper  
JSON: https://api.skillsregistry.net/v1/skills/viniciusfinger-fhir-terminology-server-mcp-wrapper

## Description

An MCP server that exposes FHIR Terminology services as structured, AI and LLM-friendly tools, designed to seamlessly connect to existing terminology servers.

## Trust

- **Trust score (0–1):** 0.95
- **Verification tier:** verified
- **Last scanned:** 2026-09-19

## Facts

- **Version:** 1.0.0
- **Skill type:** atomic
- **Execution layer:** container
- **Runtime environment:** vm
- **Category:** ai-ml
- **Updated:** 2026-09-21

## Source

- **Source listing:** [GitHub](https://github.com/viniciusfinger/fhir-terminology-server-mcp-wrapper)

## 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": "viniciusfinger-fhir-terminology-server-mcp-wrapper"
    }
  }
}
```

REST: `GET https://api.skillsregistry.net/v1/skills/viniciusfinger-fhir-terminology-server-mcp-wrapper` · pull for local use: `GET https://api.skillsregistry.net/v1/skills/viniciusfinger-fhir-terminology-server-mcp-wrapper/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
