Humanform

What Humanform MCP server does

Humanform MCP server connects an MCP-based agent workflow with the Humanform anthropometric prediction API. The available description identifies three capabilities: predicting anthropometric measurements, listing countries, and listing measurement names.

An agent can use the measurement-name and country listing operations to discover the values supported by the API. It can then use the prediction operation to request anthropometric measurements. The source material does not define the prediction inputs, response schema, supported measurement categories, or the meaning of the country data, so those details should be confirmed from the API documentation before implementation.

This server fits workflows where an AI client needs to access Humanform’s anthropometric data functions through MCP. It may be relevant for applications that ask for measurement predictions or need to inspect the API’s available countries and measurement names. The provided information does not establish any additional domain features beyond these operations.

Tools and capabilities

The Humanform MCP server is described as providing the following capabilities:

• Predict anthropometric measurements.
• List countries available through the API.
• List measurement names available through the API.

These capabilities are stated at a high level. No individual MCP tool names, parameters, return fields, validation rules, or error behavior are provided. Consequently, an integration should not assume particular argument names or response formats.

The country and measurement-name listing functions can support discovery before making a prediction request, but the source does not explicitly describe whether either list is required for prediction. It also does not state whether results are calculated locally or returned by a remote API; it only identifies the product as an anthropometric prediction API exposed through the Humanform MCP server.

Limitations and notes

Humanform MCP server documentation is limited in the supplied material. There are no documented installation commands, configuration fields, environment variables, authentication requirements, transport details, example requests, client compatibility notes, license details, or API limits.

The repository or README content is unavailable, and the supplied source is the Humanform website URL plus a short description. Developers should verify setup and request details against the current Humanform documentation before selecting this server for production use. In particular, confirm how the MCP server is launched, which anthropometric inputs are accepted, which countries and measurement names are supported, and how prediction results are represented.

No claim can be made from the available material about Cursor, Claude Desktop, or any other named MCP client. Likewise, no integrations beyond the Humanform anthropometric prediction API are identified.