# MLIT Data Platform MCP Server

> Use this tool when you need to search and retrieve data from Japan's Ministry of Land, Infrastructure, Transport and Tourism (MLIT) Data Platform using natural language queries. It solves problems related to location-based data retrieval, attribute filtering, and data visualization, providing outputs in a user-friendly format. Ideal for use cases requiring easy access to MLIT data, such as urban planning, infrastructure development, and research projects.

Canonical page: https://skillsregistry.net/skills/kkawailab-kklab-mlit-dpf-mcp  
JSON: https://api.skillsregistry.net/v1/skills/kkawailab-kklab-mlit-dpf-mcp

## Description

Enables natural language search and retrieval of data from Japan's Ministry of Land, Infrastructure, Transport and Tourism (MLIT) Data Platform, including location-based queries, attribute filtering, and data visualization capabilities.

## Trust

- **Trust score (0–1):** 1.00
- **Verification tier:** verified
- **Last scanned:** 2026-09-19

## Facts

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

## Source

- **Source listing:** [Glama](https://glama.ai/mcp/servers/fhrws50uit)
- **Repository:** <https://github.com/kkawailab/kklab-mlit-dpf-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": "kkawailab-kklab-mlit-dpf-mcp"
    }
  }
}
```

REST: `GET https://api.skillsregistry.net/v1/skills/kkawailab-kklab-mlit-dpf-mcp` · pull for local use: `GET https://api.skillsregistry.net/v1/skills/kkawailab-kklab-mlit-dpf-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
