Hong Kong Finance Data MCP Server
Server Configuration
Describes the environment variables required to run the server.
| Name | Required | Description | Default |
|---|---|---|---|
No arguments | |||
Instructions
Guidance the server publishes about itself, which clients place ahead of the tool catalog so the model reads it before choosing anything.
This server publishes no instructions, or was last inspected before Glama recorded them.
Capabilities
Features and capabilities supported by this server
Protocol revision2025-11-25
| Capability | Details |
|---|---|
| tools | {
"listChanged": true
} |
| logging | {} |
| prompts | {
"listChanged": false
} |
| resources | {
"subscribe": false,
"listChanged": false
} |
| extensions | {
"io.modelcontextprotocol/ui": {}
} |
| experimental | {} |
Tools
Functions exposed to the LLM to take actions
| Name | Description |
|---|---|
| get_business_statsB | Get monthly statistics on the number of new business registrations in Hong Kong |
| get_neg_equity_statsC | Get statistics on residential mortgage loans in negative equity in Hong Kong |
| get_credit_card_statsB | Get credit card lending survey results in Hong Kong |
| get_credit_card_hotlinesA | Get list of hotlines for reporting loss of credit card from Hong Kong banks. |
| get_coin_cartB | Get coin collection cart schedule in Hong Kong. The cart can charge your electronic wallet and you no long have to keep coins. |
| get_hkma_tender_invitationsC | Get information of Tender Invitation and Notice of Award of Contracts from Hong Kong Monetary Authority |
| get_hibor_daily_statsB | Get daily figures of Hong Kong Interbank Interest Rates (HIBOR) from HKMA |
| get_atm_locationsC | Get information on Automated Teller Machines (ATMs) of retail banks in Hong Kong |
| get_stamp_duty_statisticsA | Get monthly statistics on stamp duty collected from transfer of Hong Kong stock (both listed and unlisted) |
| get_bank_branch_locationsB | Get information on bank branch locations of retail banks in Hong Kong |
| get_fraudulent_bank_scamsB | Get information on fraudulent bank websites and phishing scams reported to HKMA |
| get_licensed_banks_historical_dataA | Get historical data on licensed banks, bank branches, and bank offices in Hong Kong from 1954-2002 |
| get_economy_snapshotA | Get a one-shot snapshot of Hong Kong's macro-finance state: the latest observation from each of the five main HKMA/IRD time series (HIBOR daily, residential mortgage negative equity quarterly, credit card lending quarterly, stamp duty monthly, business registration monthly) plus a count of currently-listed fraudulent bank websites. Internally fans out to all endpoints concurrently; per-section failures are reported as {"error": "..."} rather than failing the whole call. Use this for an at-a-glance current-state view. For historical ranges or time-series analysis, call the underlying per-series tools. |
Prompts
Interactive templates invoked by user choice
| Name | Description |
|---|---|
No prompts | |
Resources
Contextual data attached and managed by the client
| Name | Description |
|---|---|
No resources | |
TDQS
Scored across 13 tools
Each tool targets a clearly distinct data source or resource, with no overlapping purposes. The only potential overlap is between 'get_economy_snapshot' and the individual statistics tools, but its description explicitly clarifies its role as an at-a-glance aggregator and directs users to per-series tools for detailed analysis.
All tool names follow a consistent verb_noun pattern with a 'get_' prefix, and use snake_case throughout. This predictable naming makes the toolset easy to navigate.
With 13 tools, the count is well within the optimal range of 3–15. Each tool serves a distinct purpose, and the server appears to cover a focused but comprehensive set of Hong Kong finance data endpoints.
The toolset provides broad coverage of Hong Kong finance data, including credit cards, businesses, mortgages, HIBOR, ATMs, scams, and more, plus a convenient snapshot tool. However, some potential areas like historical HIBOR data or bank-specific loan statistics are not directly available, though the snapshot tool partially mitigates this for current-state views.