# hl7tap

> hl7tap — cognis-digital-hl7tap. Use this tool when you need to parse, compare, or replay HL7 v2 messages, solving integration and debugging issues in healthcare data exchange. It takes HL7 v2 messages as input and outputs parsed, pretty-printed, or diffed messages, with options for replaying messages over MLLP. Ideal for use in healthcare IT development, testing, and troubleshooting contexts.

Canonical page: https://skillsregistry.net/skills/cognis-digital-hl7tap  
JSON: https://api.skillsregistry.net/v1/skills/cognis-digital-hl7tap

## Description

Parse, pretty-print, diff, and replay HL7 v2 messages over MLLP from the terminal.

## Trust

- **Trust score (0–1):** 0.50
- **Verification tier:** unverified

## Facts

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

## Source

- **Source listing:** [GitHub](https://github.com/cognis-digital/hl7tap)

## 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": "cognis-digital-hl7tap"
    }
  }
}
```

REST: `GET https://api.skillsregistry.net/v1/skills/cognis-digital-hl7tap` · pull for local use: `GET https://api.skillsregistry.net/v1/skills/cognis-digital-hl7tap/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