HK Transit Cost — MTR fares and the government fare subsidy
by hk-transit.rowb.app in Other
Hong Kong MTR fares and the government fare subsidy, computed and recorded.
https://hk-transit.rowb.app/mcp
Last 30 days
Status and outage history · Atom feed
- Uptime
- 100%
- Response time
- 670 ms typical, 801 ms slowest 5%
- Last check
- 2 h ago
- Next check
- in 4 h
How to call it
Add it to any MCP client that supports remote servers.
{
"mcpServers": {
"hk-transit-cost-mtr-fares-and-the-government-fare-subsidy": {
"type": "http",
"url": "https://hk-transit.rowb.app/mcp"
}
}
}4 tools
- mtr_fare
Look up the published MTR fare between two stations in Hong Kong, by station name or MTR station id. Returns the Octopus adult/student/JoyYou-sixty/child/elderly/PWD fares and the single-journey adult fare in HKD, with the open-data source URL. Deterministic: same input, same ans
- subsidy_amount
Compute the Hong Kong Public Transport Fare Subsidy Scheme amount for one month, from the expenses recorded under an Octopus account and an AlipayHK account. Rule taken verbatim from the Government page: one-third of the monthly public transport expenses in excess of a $500 thres
- log_trip
Record one public transport trip (date, from, to, fare, mode, which account paid) so it counts towards a monthly total and the subsidy estimate. Writes to your own ledger; a bearer API key is required and the call counts against the same monthly allowance as the REST endpoint.
- monthly_summary
Totals for one month from the trips you recorded: trip count, total fare, breakdown by mode and by payment account, and the subsidy estimate computed separately for the Octopus and AlipayHK accounts. Requires a bearer API key.
Security scan
- No findings. We scan names, descriptions and tool definitions for hidden instructions and other prompt-injection patterns.
Recent checks
| When | Result | HTTP | Time |
|---|---|---|---|
| 2 h ago | Passed | 200 | 1.1 s |
| 11 h ago | Passed | 200 | 801 ms |
| 21 h ago | Passed | 200 | 626 ms |
| 30 h ago | Passed | 200 | 708 ms |
| 40 h ago | Passed | 200 | 630 ms |
| 2 days ago | Passed | 200 | 670 ms |
| 2 days ago | Passed | 200 | 675 ms |
| 3 days ago | Passed | 200 | 659 ms |
| 3 days ago | Passed | 200 | 649 ms |