# Humanform

> Humanform — app-humanform-mcp. Use this tool when you need to predict human body measurements or access anthropometric data, solving problems in fields like fashion, healthcare, and product design. It provides an API interface to input parameters and output predicted measurements, country lists, and measurement names. Ideal for applications requiring accurate human measurement estimates, such as clothing size recommendations or ergonomic design.

Canonical page: https://skillsregistry.net/skills/app-humanform-mcp  
JSON: https://api.skillsregistry.net/v1/skills/app-humanform-mcp

## Description

Anthropometric prediction API: predict measurements, list countries, list measurement names.

## Trust

- **Trust score (0–1):** 0.30
- **Verification tier:** unverified
- **Last scanned:** 2026-09-02

## Facts

- **Version:** 0.1.3
- **Skill type:** atomic
- **Execution layer:** mcp-remote
- **Runtime environment:** api
- **Category:** other
- **Updated:** 2026-09-02

## Source

- **Source listing:** [MCP Registry](https://registry.modelcontextprotocol.io/v0/servers/app.humanform%2Fmcp)

## 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": "app-humanform-mcp"
    }
  }
}
```

REST: `GET https://api.skillsregistry.net/v1/skills/app-humanform-mcp` · pull for local use: `GET https://api.skillsregistry.net/v1/skills/app-humanform-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