MCP server

Shreddy Official

ai.shreddy/shreddy

Checked 28 Oct 2026, 09:03 UTC · Connected to it and listed its tools

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

Working at last checkVerified publisher: shreddy.aiAbout 1,933 tokens per request once connected4 tools

https://api.shreddy.ai/mcp

At a glance

Type: MCP server
Publisher: shreddy.ai (verified by the MCP Registry)
Status: Working at last check
Tools: 4
Token cost: About 1,933 tokens per request
Sets up in: Claude Code, Claude Desktop, Codex, Gemini CLI, Cursor, VS Code, Antigravity, ChatGPT, OpenAI API, Grok
Last checked: 28 Oct 2026, 09:03 UTC

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

Claude Desktop

Settings → Connectors → Add custom connector, and paste the URL.

Codex (config.toml)

[mcp_servers.shreddy]
url = "https://api.shreddy.ai/mcp"

Gemini CLI

{"mcpServers":{"shreddy":{"httpUrl":"https://api.shreddy.ai/mcp"}}}

Cursor

{"mcpServers":{"shreddy":{"url":"https://api.shreddy.ai/mcp"}}}

VS Code

{"servers":{"shreddy":{"type":"http","url":"https://api.shreddy.ai/mcp"}}}

Antigravity

agy mcp add shreddy https://api.shreddy.ai/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":"shreddy","server_url":"https://api.shreddy.ai/mcp","require_approval":"always"}

Grok (xAI API tools)

{"type":"mcp","server_label":"shreddy","server_url":"https://api.shreddy.ai/mcp"}

get_clip ~276 tokens
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 li
get_venue ~224 tokens
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 a
list_venues ~343 tokens
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
search_clips ~1090 tokens
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`

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