MLIT Data Platform FAQs

Question 1

What is the MLIT Data Platform Tool?

Accepted Answer

The MLIT Data Platform Tool is an application that enables Large Language Models (LLMs) to interactively search, retrieve, and download data from the Japanese Ministry of Land, Infrastructure, Transport and Tourism (MLIT) Data Platform API using natural language queries.

Question 2

How does it enable LLM interaction and conversational search?

Accepted Answer

This tool functions as an MCP (Model Context Protocol) server, allowing LLMs like Claude Desktop or Claude Code to connect directly. Users can issue conversational commands (e.g., 'Find dams in Tokyo') to access MLIT data without requiring deep API expertise.

Question 3

What types of data can I search and retrieve using this tool?

Accepted Answer

You can perform searches by keywords, geographical locations (points or rectangular areas), and specific attributes like catalog or dataset names. It allows retrieving detailed information, bulk data, keyword suggestions, normalizing location names, and generating temporary download URLs for files, ZIP archives, and thumbnails.

Question 4

Is this an official tool developed by the MLIT?

Accepted Answer

No, this is an unofficial, independently developed application based on the official MLIT Data Platform MCP repository. It is not officially endorsed or approved by the Ministry of Land, Infrastructure, Transport and Tourism.

Question 5

What are the primary requirements for setting up the MLIT Data Platform Tool?

Accepted Answer

To set up the tool, you will need a Python 3.10+ environment, an API key from the MLIT Data Platform, and either Claude Desktop or Claude Code installed. The setup involves cloning the repository, installing dependencies, and configuring your API key in the environment variables.

MLIT Data Platform

MLIT Data Platform

主な機能

ユースケース

主な機能

ユースケース