# Allotrope MCP Server

> Use this tool when you need to manage and interact with Allotrope Simple Model (ASM) data formats for laboratory instruments, providing validation, listing, description, and fetching capabilities to streamline laboratory data workflows. It solves problems related to data format consistency and accessibility, allowing for seamless integration with laboratory instruments. The Allotrope MCP Server takes in ASM data formats as input and outputs validated, listed, and described data, making it an ideal solution for laboratory data management contexts.

Canonical page: https://skillsregistry.net/skills/aws-samples-sample-laboratory-data-transformation-mcp  
JSON: https://api.skillsregistry.net/v1/skills/aws-samples-sample-laboratory-data-transformation-mcp

## Description

Provides tools for validating, listing, describing, and fetching Allotrope Simple Model (ASM) data formats for laboratory instruments.

## Trust

- **Trust score (0–1):** 0.68
- **Verification tier:** scanned
- **Last scanned:** 2026-08-31

## Facts

- **Version:** 1.0.0
- **Skill type:** atomic
- **Execution layer:** mcp-remote
- **Runtime environment:** api
- **Category:** other
- **Updated:** 2026-08-31

## Source

- **Source listing:** [Glama](https://glama.ai/mcp/servers/c51ffpsq3a)
- **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-sample-laboratory-data-transformation-mcp"
    }
  }
}
```

REST: `GET https://api.skillsregistry.net/v1/skills/aws-samples-sample-laboratory-data-transformation-mcp` · pull for local use: `GET https://api.skillsregistry.net/v1/skills/aws-samples-sample-laboratory-data-transformation-mcp/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