# Legacy-to-FHIR Mapping MCP Server

> Legacy-to-FHIR Mapping MCP Server — gdanse-legacy-to-fhir-mcp-server. Use this tool when you need to integrate legacy healthcare data with modern FHIR standards, or when querying outdated databases is necessary. It solves problems of data incompatibility and inaccessible information by mapping legacy data to FHIR resources, such as Patient, Observation, and Condition. The tool accepts natural-language queries as input and returns validated FHIR resources as output.

Canonical page: https://skillsregistry.net/skills/gdanse-legacy-to-fhir-mcp-server  
JSON: https://api.skillsregistry.net/v1/skills/gdanse-legacy-to-fhir-mcp-server

## Description

Enables natural-language querying of a mock legacy healthcare database and returns validated FHIR resources (Patient, Observation, Condition).

## Trust

- **Trust score (0–1):** 0.69
- **Verification tier:** scanned
- **Last scanned:** 2026-09-03

## Facts

- **Version:** 1.0.0
- **Skill type:** atomic
- **Execution layer:** mcp-remote
- **Runtime environment:** api
- **Category:** database
- **Updated:** 2026-09-03

## Source

- **Source listing:** [Glama](https://glama.ai/mcp/servers/nf2fzbv4jg)
- **Repository:** <https://github.com/gdanse/legacy-to-fhir-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": "gdanse-legacy-to-fhir-mcp-server"
    }
  }
}
```

REST: `GET https://api.skillsregistry.net/v1/skills/gdanse-legacy-to-fhir-mcp-server` · pull for local use: `GET https://api.skillsregistry.net/v1/skills/gdanse-legacy-to-fhir-mcp-server/pull`

---
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
