# smart-mcp-server

> Use this tool when you need to integrate AI assistants with FHIR R4 servers for clinical decision support, enabling secure interactions for workflows such as PlanDefinition execution and FHIR resource management. It solves problems related to terminology services, Questionnaire/StructureMap transformation, and data exchange between AI systems and healthcare data repositories. This tool accepts FHIR resources and Questionnaires as inputs and outputs transformed data and execution results, ideal for use cases requiring standardized clinical data exchange and decision support.

Canonical page: https://skillsregistry.net/skills/digitalsqr-smart-mcp-server  
JSON: https://api.skillsregistry.net/v1/skills/digitalsqr-smart-mcp-server

## Description

Enables AI assistants to securely interact with FHIR R4 servers for clinical decision support workflows, including PlanDefinition execution, FHIR resource management, terminology services, and Questionnaire/StructureMap transformation via Matchbox.

## Trust

- **Trust score (0–1):** 0.67
- **Verification tier:** scanned
- **Last scanned:** 2026-09-03

## Facts

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

## Source

- **Source listing:** [Glama](https://glama.ai/mcp/servers/dppseb1b5k)
- **Repository:** <https://github.com/DigitalSQR/smart-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": "digitalsqr-smart-mcp-server"
    }
  }
}
```

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