MCP server
CourtlyGo Official
com.courtlygo/courts
Checked 26 Oct 2026, 08:29 UTC · Connected to it and listed its tools
Tennis, pickleball and padel courts from OpenStreetMap: surface, lighting, access, fee. Read-only.
Working at last checkVerified publisher: courtlygo.comAbout 1,313 tokens per request once connected3 tools
https://courtlygo.com/mcp
At a glance
- Type
- MCP server
- Publisher
- courtlygo.com (verified by the MCP Registry)
- Status
- Working at last check
- Tools
- 3
- Token cost
- About 1,313 tokens per request
- Sets up in
- Claude Code, Claude Desktop, Codex, Gemini CLI, Cursor, VS Code, Antigravity, ChatGPT, OpenAI API, Grok
- Last checked
- 26 Oct 2026, 08:29 UTC
Connect it to your agent
Opens the app, which shows the server and asks you to confirm. For other apps, copy the setup below.
Claude Code
claude mcp add --transport http courts https://courtlygo.com/mcp
Claude Desktop
Settings → Connectors → Add custom connector, and paste the URL.
Codex (config.toml)
[mcp_servers.courts] url = "https://courtlygo.com/mcp"
Gemini CLI
{"mcpServers":{"courts":{"httpUrl":"https://courtlygo.com/mcp"}}}
Cursor
{"mcpServers":{"courts":{"url":"https://courtlygo.com/mcp"}}}
VS Code
{"servers":{"courts":{"type":"http","url":"https://courtlygo.com/mcp"}}}
Antigravity
agy mcp add courts https://courtlygo.com/mcp
ChatGPT
Settings → Apps & Connectors → Advanced settings: turn on Developer mode, then Create a connector and paste the URL. Which plans can do this varies.
OpenAI API (Responses tools)
{"type":"mcp","server_label":"courts","server_url":"https://courtlygo.com/mcp","require_approval":"always"}
Grok (xAI API tools)
{"type":"mcp","server_label":"courts","server_url":"https://courtlygo.com/mcp"}
Tools
get_court~112 tokens
Get the details of one court venue by its id from search_courts: courts per sport, surface, lighting, access, fee, website, opening hours, OpenStreetMap links, source, data date and caveats.list_coverage~203 tokens
List the covered cities and metro areas with the number of venues in each, grouped by country. It does not list courts: to find courts, call search_courts with city=<a name from this list>. Pass 'country' (e.g. 'Spain') to list one country; 'detail'=true adds per-city counts by sport (larger answer)search_courts~998 tokens
Search mapped tennis, pickleball and padel courts in a covered city or metro area, or around a point. Pass 'city' (e.g. 'Austin, TX', 'Lisbon', 'Los Angeles area'; add 'country' if the name is ambiguous) or 'lat'+'lon' (+'radius_km'). Optional filters: sport, setting (outdoor or indoor), lit, open_t
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[](https://aptlynx.net/servers/com.courtlygo/courts)
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