Connect Japan Road Traffic Volume to ChatGPT
Query Japan Road Traffic Volume directly from ChatGPT. Arlet links the two through one MCP connection and takes care of API keys.
This server connects your AI client to the Traffic Volume API, operated by the Japan Road Traffic Information Center (JARTIC) for the Ministry of Land, Infrastructure, Transport and Tourism (MLIT). It serves directional vehicle counts measured by roughly 2,600 permanent traffic counters (loop/ultrasonic and CCTV-AI counters), mainly on national routes (δΈθ¬ε½ι).
Key features:
- Query by bounding box and observation time (JST), at 1-hour or 5-minute aggregation.
- Each observation point returns its coordinates, point code, and up/down direction counts split into small vehicles, large vehicles and unclassified, with missing-data flags.
- Retention: about 3 months for hourly values, about 1 month for 5-minute values.
Usage notes: the values are reference values, not official MLIT survey results, and the terms of use require the attribution shown in every response (this server includes it automatically). Query area per request is capped to roughly a city-sized bounding box to respect the API's fair-use rules.
How to connect Japan Road Traffic Volume to ChatGPT
- 1
In the Arlet dashboard, open Data tools, find Japan Road Traffic Volume and switch it on. No API key setup is needed.
- 2
In ChatGPT, open Settings β Plugins β Browse plugins and click + at the top right.
- 3
In the New Plugin form, enter "Arlet" as the Name, choose Server URL for Connection and enter https://mcp.arlet.dev/mcp/, pick OAuth for Authentication, check the risk acknowledgement and click Create.
- 4
Open the Arlet plugin you created, click Sign in with Arlet, sign in with Google and click Allow. The connection is complete.
If the Plugins screen is not shown, turn on Developer mode under Settings β Security and login.