Shreddy

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

CommunityOnlineNo sign-inGlobalFreeRead-only

What it can do

    What data it sees

    Do you need an account

    No: the server works without sign-in

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

    How to connect

    How to connect Shreddy to Claude

    The server address to paste into Claude settings:

    https://api.shreddy.ai/mcp

    1. Open Claude (claude.ai or the desktop app).
    2. Go to Settings → Connectors.
    3. Click Add custom connector.
    4. Paste the server address copied below into Remote MCP server URL and click Add.
    5. In a chat, click + → Connectors and switch the new connector on.

    Custom connectors are available on Free, Pro, Max, Team and Enterprise plans (Free is limited to one). On Team and Enterprise an organization Owner adds the connector first under Organization settings → Connectors.

    Authorization

    After you click Add, a sign-in window for the service opens. Sign in with your own account and approve access. Claude never sees your password.

    How to connect Shreddy to ChatGPT

    The server address to paste into ChatGPT settings:

    https://api.shreddy.ai/mcp

    1. Open ChatGPT in a browser (chatgpt.com). A Plus, Pro, Business, Enterprise or Edu plan is required.
    2. Turn on developer mode once: Settings → Apps → Advanced settings → Developer mode.
    3. Open Settings → Connectors and click Create.
    4. Fill in the form: Name (anything), Description (one line about what the service does), MCP server URL (copy it below).
    5. Under Authentication choose OAuth if the service requires sign-in, otherwise None. Click Create.
    6. In a new chat open + → Apps/Connectors and enable the connector.

    OpenAI has renamed this section before (Connectors → Apps/Plugins). If the label differs, search settings for "developer mode". On Business/Enterprise workspaces an admin must allow custom connectors first.

    Authorization

    On first use ChatGPT opens the service's sign-in window. Sign in and approve access.

    How to connect Shreddy to Cursor

    The server address to paste into Cursor settings:

    https://api.shreddy.ai/mcp

    Fastest: click Open in Cursor below and confirm the prompt.

    Manually:

    1. In Cursor open Settings → Cursor Settings → MCP and click Add new global MCP server.
    2. Paste the JSON copied below into ~/.cursor/mcp.json (per project: .cursor/mcp.json in the repo root).
    3. Save the file. The server appears in the MCP list; authorize it there if asked.

    Authorization

    If the service needs sign-in, an authorize button appears next to the server in the MCP list.

    Server tool list (4)

    Raw names from tools/list. Only developers need these.

    list_venuesList 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 you have" and to learn valid venue names.
    get_venueEverything 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_clipsSearch 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 `since`/`until`). A newest search includes clips with no measurements (normal: no calibration). Every clip has a link to give the viewer and its lap time (`lap_time_s`) when it has one; laps are not a ranking metric yet. Pass `next_cursor` back as `cursor`, with the same other arguments, for the next page.
    get_clipOne 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 and the difference, and the split from the line before; a rider nobody tagged has crossings with no lap. A clip that is private, removed or does not exist all read as not found.