SH

Shreddy

ai.shreddy/shreddy

Measured mountain bike jumps and speeds at bike parks: public clips, read-only.

Yes, your AI can use this right now.Answered a live MCP handshake in 720 ms with no sign-in needed and exposes 4 tools.

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URL: https://api.shreddy.ai/mcp

4 tools, verified live

Pulled straight from the server with tools/list on 2026-10-17.
list_venuesread-only

List the bike parks (venues) that have public Shreddy clips: name, city, state, how many clips and how many measured rides, the runs and features there, and a link. Filter by `query` (matches name, city or state) or sort nearest first with `near` (coordinates; for a place name like "San Diego", pass its approximate latitude and longitude). Distances come in km and miles. Use it for "what parks do

get_venueread-only

Everything about one bike park in one call: its runs and their features (with clip counts), how many public clips and measured rides it has, its records (the top 3 public rides for jump height, speed, jump length and airtime, biggest first; no lap record yet) and its newest clips, each with a link and its lap time when it has one. `venue` is a name ("bradley", "snow summit") or an id.

search_clipsread-only

Search public clips. Newest first by default; sort "biggest" or "smallest" with a `metric` for the biggest jumps, longest jumps, most airtime or fastest runs (ranked results list each rider of a group clip on their own, and leave out rides with no value for that metric). Filter by `venue`, `feature` (a feature or a run at the venue, e.g. "double black" or "jump 2"), `rider`, and time (`when`, or `

get_clipread-only

One public clip by id: where and when it was recorded (day and clock time at the venue), the rider if named, every measurement (jump height, speed, lap times, plus jump length and airtime), how it was calibrated, and for a group clip (a train of riders) each rider with their own stats, timing and link. `timing` lists each timing line the rider crossed with the lap it closed, the best earlier lap a

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