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japan-geospatial-open-data-mcp

japan-geospatial-open-data-mcp

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github.com/atushi1841Maps & Travel0Updated 3d ago

About japan-geospatial-open-data-mcp

japan-geospatial-open-data-mcp combines nationwide Japanese geospatial open data in an MCP server for AI agents. It covers address lookup, map tiles, statistics, and elementary school districts for use in property analysis, education infrastructure assessment, disaster planning, and urban planning.

Key features

  1. 01Geocode Japanese addresses
  2. 02Retrieve GSI map tiles
  3. 03Query e-Stat statistics
  4. 04List nationwide elementary school districts
  5. 05Retrieve school-district GeoJSON

Use cases

  1. 01Find coordinates and identify a district
  2. 02View aerial imagery for an area
  3. 03Analyze population and demographic data
  4. 04Assess education facilities and district boundaries

MCP support

The MCP server provides seven tools for GSI, e-Stat, National Land Numerical Information, and the Real Estate Information Library. Some statistics and school-district GeoJSON tools require the corresponding API keys.

Configuration

Local server config is the same for every client. Copy it into your client’s MCP config file.

No install method listed yet

We haven’t collected a package or remote endpoint for this server. Follow the instructions in the project README.

Repository
Packages
mcpbjapan-geospatial-open-data-mcp.mcpb1.0.0

Tools

No tool list yet

Local servers expose tools only once running on your machine, and the maintainer has not provided a tool list.

Details

From the project README

japan-geospatial-open-data-mcp

日本全国規模のジオスパティアル・オープンデータを AI エージェントに届ける MCP Server。 GSI 地理院タイル・地理院住所検索・e-Stat 統計 API・国土数値情報(小学校区)・不動産情報ライブラリを 1 つの MCP でまとめて公開する。

Context: FOSS4G Hiroshima 2026 発表「Building an MCP Server Ecosystem on Japan's National-Scale Geospatial Open Data Platform」(Mami Enomoto, MLIT) が示した方向性に追従するエコシステム構築タスク。 Needs: 不動産分析(学区・用途地域)・教育インフラ評価・防災・都市計画。 TOS: GSI/e-Stat/国土数値情報は公式オープンデータ・再利用自由。

Tools (7)

ToolDescriptionKey required
geocode_japan住所 → 緯度経度(GSI 住所検索 API, msearch.gsi.go.jp)No
get_gsi_tile地理院 XYZ タイル(std/pale/blank/aerial/vector)を base64 画像で取得No
list_data_sourcesアクセス可能な全データソース一覧と鍵要件No
get_estat_datae-Stat 統計データ取得(人口・人口動態・世帯 etc.)ESTAT_APP_ID
get_estat_metae-Stat 統計表メタ情報取得ESTAT_APP_ID
list_school_districts全国小学校区 (A27) GML/GeoJSON ファイル一覧(国土数値情報, nlftp.mlit.go.jp)No
get_school_district_geojson小学校区 GIS タイル (XKT004) GeoJSON 取得(不動産情報ライブラリ)REINFOLIB_API_KEY
Environment variables (optional)

No keys → core GSI + school district listing still works out of the box.

Install

git clone https://github.com/atushi1841/japan-geospatial-open-data-mcp
cd japan-geospatial-open-data-mcp
python3 -m venv .venv && source .venv/bin/activate
pip install -r requirements.txt

Claude Desktop config

{
  "mcpServers": {
    "japan-geospatial-open-data": {
      "command": "/path/to/japan-geospatial-open-data-mcp/.venv/bin/python",
      "args": ["/path/to/japan-geospatial-open-data-mcp/src/server.py"],
      "env": {
        "ESTAT_APP_ID": "your-e-stat-app-id",
        "REINFOLIB_API_KEY": "your-reinfolib-key"
      }
    }
  }
}

Example queries

  • 「東京都渋谷区の小学校区はどれか」 → geocode_japan("東京都渋谷区") → list_school_districts
  • 「渋谷区の航空写真 2024 年をズーム 15 で表示」 → get_gsi_tile(layer="nendophoto2024", lat=35.657, lon=139.698, z=15)
  • 「日本の 2020 年人口(年齢別)」 → get_estat_data(table_key="population")
  • 「地価公示ポイントの GeoJSON」 → (future: get_reinfolib_xkt004 系)

Data sources & licensing

SourceURLLicense
GSI tiles & geocoderhttps://maps.gsi.go.jp/GSI tile terms (free, credit required)
e-Stat APIhttps://www.e-stat.go.jp/api/Open statistics (free, key registration)
MLIT Kokuto Suuchi Jhouhouhttps://nlftp.mlit.go.jp/ksj/MLIT open data (free)
MLIT Real Estate Information Libraryhttps://www.reinfolib.mlit.go.jp/MLIT open data (free, application)

Credit requirement: when using GSI tiles, include "Geospatial Information Authority of Japan" in your output.

MCP Registry

Publishing to the official MCP Registry is a follow-up task. The mcp-publisher CLI (GitHub auth, io.github.atushi1841/japan-geospatial-open-data-mcp namespace) is the standard flow.

Roadmap / future tools

  • 用途地域 (zoning) GeoJSON from reinfolib
  • 洪水浸水想定区域 / 土砂災害警戒区域 hazard layers (reinfolib)
  • 地価公示 point API
  • e-Stat 250m mesh population for density analysis
  • 中学校区 (A28) listing
  • Bulk GeoJSON download helper for nlftp files (A27 prefecture-level GML)

Apify Store

This MCP server is published as an Apify Actor: japan-geospatial-open-data-mcp.

Apify Store: atushi1841


Data & Store

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