Shreddy
Measured mountain bike jumps and speeds at bike parks: public clips, read-only.
Connect it
Settings → Connectors → Add custom connector
URL: https://api.shreddy.ai/mcpSettings → Apps & Connectors → Advanced → Developer mode
Create connector with URL: https://api.shreddy.ai/mcp{
"mcpServers": {
"shreddy": {
"url": "https://api.shreddy.ai/mcp"
}
}
}claude mcp add --transport http shreddy https://api.shreddy.ai/mcp{
"servers": {
"shreddy": {
"type": "http",
"url": "https://api.shreddy.ai/mcp"
}
}
}4 tools, verified live
list_venuesread-onlyList 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-onlyEverything 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-onlySearch 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-onlyOne 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
Alternatives in AI & Agents
Compare →BOBowmarkB
Do things on live websites: prices, availability, quotes, bookings, anything behind a form or login.
SlopItB
Instant blogs for AI agents: sign up, publish markdown posts, get a live public URL in seconds.
OVOverwingB
Guardrails for LLM output: pass / fail / review verdicts and one recommended action. Hosted or npm.
SASavvlyB
Savvly MCP: query fund data, model projections, and compare against alternative retirement products.
atomaB
Start and follow atoma builds; read their runs, traces, agent registry and skill catalogue.
TITickerDBB
Pre-computed market data that improves agent reasoning, reduces token usage, and replaces pipelines.