Use GSI with your AI.
Connect your account once and let the AI you already use work with it, without building another integration. Japan's Geospatial Information Authority as an MCP: official elevation for any point (1m laser DEM. Mt. Fuji at 3770m), Japanese address geocoding and multi-po
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Works with modern AI clients that support MCP, including ChatGPT, Claude, Cursor, and more.
Complete set · 4 capabilities
The complete GSI capability set.
These are the exact actions your AI can choose when you ask it to work with GSI.
01-04
4 capabilities in this set.
Part of 4 available through GSI.
- 01
Get location elevation profile
Points without DEM data return null elevation. Get elevations for up to 25 coordinates at once (elevation profile for a route or area)
- 02
Get elevation
Coordinates: lon 120-150 (e.g. 139.69 Tokyo), lat 30-46 (e.g. 35.69). Returns null elevation for water or unmeasured points. useful for terrain analysis, flood/hiking checks, geology. Get the official elevation of any point in Japan (GSI 1m/5m/10m laser DEM)
- 03
Geocode address
G. 東京都千代田区, 東京タワー, 札幌市): coordinates [lon, lat], display title and address code. Accepts partial names. broader terms return multiple candidate areas ranked by the GSI matcher. Japanese input strongly recommended. Geocode a Japanese address or place name to coordinates (official GSI search)
- 04
Compare places terrain
Returns name, coordinates, elevation and DEM source. quick way to answer "how high is X vs Y" without juggling capabilities. Compare multiple places: geocode each name then fetch its elevation in one call
One connector, every AI
GSI works with the most popular AI clients.
These are the most popular clients, each with a step-by-step guide: one link, set up once, with governance and visibility built in. And because everything runs on the MCP standard, the same connection also works in any other compatible client — nothing to rebuild.
Claude
ChatGPT
Gemini
Perplexity
Grok
Microsoft Copilot
Cursor
VS Code
Windsurf
JetBrains
Cline
LangChain
Vercel AI SDK
Lovable
Z.ai
Raycast
Qwen Code
Kimi Code
Le ChatBuilding your own app? The connector is yours to use.
You don't need a client to put GSI to work: the same hosted connection plugs into your own applications and agent code, with the same governance on every request. Build with it, chat with it — one connection for both.
Connect your client
One URL. Every client.
Activate the Connector, copy your link, and paste it into the client you already use. 4 capabilities arrive ready to run.
Preview access · not provider authentication
The vk_preview_* token belongs to Vinkius preview infrastructure. It lets Claude discover and display the capabilities of GSI, so you can see the experience inside your AI.
It does not authenticate your account with GSI. Actions requiring credentials or live account data may not run until you activate the Connector and authorize the service.
GSI Connector
You're all set. Choose your MCP client and follow the setup instructions.
https://edge.vinkius.com/vk_preview_nG5Qa5cK9gSn72j2hpzo8bopJr9rngWjYD6Xdi7c/mcpClaude Desktop
Follow the steps below to connect in seconds.
- 1In Claude Desktop, open Settings → Connectors.
- 2Click “Add custom connector” and paste the connector link above as the remote MCP server URL.
- 3Click Add and start a new chat — GSI capabilities are ready to use.
{
"mcpServers": {
"gsi-japan-terrain-geocoding-mcp": {
"url": "https://edge.vinkius.com/vk_preview_nG5Qa5cK9gSn72j2hpzo8bopJr9rngWjYD6Xdi7c/mcp"
}
}
}
Claude
ChatGPT
Cursor
VS Code
Windsurf
Claude Code
JetBrains
Cline
Step-by-step instructions for each client are in the guide. How to connect
Guided setup for Claude? link.label
FAQ
Questions GSI owners ask.
- 01
Do I need an API key or registration?
No. Both the GSI elevation service and the address search are public endpoints. no key, no registration. Keep request rates reasonable and they work indefinitely.
- 02
Why does elevation sometimes return null?
Points on water, or outside areas covered by the current DEM grids (some remote islands), have no elevation value. The response also tells you which DEM layer served the value (1m laser, 5m or 10m), so you can judge precision.
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