CourtlyGo
Tennis, pickleball and padel courts from OpenStreetMap: surface, lighting, access, fee. Read-only.
| Endpoint | https://courtlygo.com/mcp (streamable-http) |
|---|---|
| Registry version | 0.2.0 |
| Now | 3 tools · grade A (97) · pin ts_a0a6bfcb438000092bf99c6c4e21e873 · protocol 2025-06-18 |
| First / last listed | 2026-10-24 23:13 UTC / 2026-10-24 23:13 UTC |
| Grade over time | 2026-10-24: A (97), 3 tools |
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Tools: search_courts get_court list_coverage
search_courts | Use this to answer “where can I play tennis, pickleball or padel in <city>?”. It searches courts in a covered city, metro area or around a point: pass 'city' (e.g. 'Austin, TX', 'Long Beach', 'Lisbon', 'Los Angeles area'; add 'country' if the name is ambiguous) or 'lat'+'lon'+'radius_km'. Each result is a venue (courts within 70 m are merged) with number of courts, surface, lighting, access, fee, params: sport, city, country, lat, lon, radius_km, setting, lit, open_to_public, free, min_courts, match_unknown, limit, offset |
get_court | Get full details of one court venue by id (from search_courts): courts per sport, surface, access, OpenStreetMap links, source, data date and caveats. params: id* |
list_coverage | List the covered cities, metro areas and countries with the number of venues per sport, the data date and the attribution. It does not list courts: to find courts, call search_courts with city=<a name from this list>. params: none |
Entries describe changes in tool definitions. They are not statements about a server, its quality or its author. The grade measures how the tool definitions fit model providers (token cost, schema compatibility, confusable names) as scored by the ToolFit engine at the time of the listing. JSON: append .json. Opt-out: how or hello@youraitools.co.