MCP server exposing 3 tools for besttime.
This URL is a JSON-RPC 2.0 endpoint over HTTP. Issue POST requests with a JSON-RPC body. Browsers and search crawlers land here on GET.
POST https://gateway.pipeworx.io/besttime/mcp
Content-Type: application/json
{"jsonrpc":"2.0","id":1,"method":"tools/list"}besttime_forecast — How busy is <venue> by hour/day (foot-traffic forecast) — creates a busyness forecast for a public venue (restaurant, bar, gym, store, museum) by name + address. Returns the 24-hour busyness curve (0-100) for each weekday plus busy/quiet/peak hours and a venue_id for later queries. Example: besttime_forecast({ venue_name: "McDonald's", venue_address: "Ocean Ave, San Francisco", _apiKey: "pri_xxx:pub_yyy" })besttime_query — Busyness for a venue at a specific hour or day — reads an already-forecasted venue (by venue_id from besttime_forecast). Pass `hour` for a single hour, or omit it to get the whole day's curve. Example: besttime_query({ venue_id: "ven_...", day: 4, hour: 18, _apiKey: "pri_xxx:pub_yyy" })besttime_live — Is <venue> busy right now vs usual — returns live foot-traffic busyness compared to the forecasted level for this hour. Identify the venue by venue_id, or by venue_name + venue_address. Example: besttime_live({ venue_name: "Blue Bottle Coffee", venue_address: "66 Mint St, San Francisco", _apiKey: "pri_xxx:pub_yyy" })Code samples (curl / TypeScript / one-click client install), schemas, and the live playground are on the pack page:
https://pipeworx.io/packs/besttime/
Pipeworx is an open MCP gateway connecting AI agents to live data. pipeworx.io