# Allotrope Lab Data

> Use this tool when you need to work with laboratory instrument data in Allotrope Simple Model (ASM) format, such as validating schemas, fetching documents, or transforming data formats. It solves problems related to laboratory data standardization and integration, providing a standardized interface for data exchange. The tool takes in ASM data formats and outputs validated, transformed, or fetched data, making it ideal for laboratory data transformation workflows.

Canonical page: https://skillsregistry.net/skills/aws-samples-allotrope-lab-data  
JSON: https://api.skillsregistry.net/v1/skills/aws-samples-allotrope-lab-data

## Description

Allotrope Lab Data provides tools for working with Allotrope Simple Model (ASM) laboratory instrument data formats via MCP. Offers four tools for schema validation, document fetching, and ASM format transformation. Built with FastMCP and Python 3.10+. Published as an AWS sample for laboratory data transformation workflows.

## Trust

- **Trust score (0–1):** 0.98
- **Verification tier:** verified
- **Last scanned:** 2026-09-19

## Facts

- **Version:** 1.0.0
- **Skill type:** atomic
- **Execution layer:** mcp-remote
- **Runtime environment:** api
- **Category:** cloud-infra
- **Updated:** 2026-09-19

## Source

- **Source listing:** [PulseMCP](https://www.pulsemcp.com/servers/aws-samples-allotrope-lab-data)
- **Repository:** <https://github.com/aws-samples/sample-laboratory-data-transformation-mcp>

## 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": "aws-samples-allotrope-lab-data"
    }
  }
}
```

REST: `GET https://api.skillsregistry.net/v1/skills/aws-samples-allotrope-lab-data` · pull for local use: `GET https://api.skillsregistry.net/v1/skills/aws-samples-allotrope-lab-data/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