About Yardstick Outfitters
Size-aware ADV/dual-sport motorcycle gear: sizing, fit guides, verified deals (read-only)
Configuration
Remote servers need no local install. Pick your client, then copy the config or install in one click.
https://yardstickoutfitters.com/mcpclaude mcp add --transport http com-yardstickoutfitters https://yardstickoutfitters.com/mcp{"mcpServers":{"com-yardstickoutfitters":{"type":"http","url":"https://yardstickoutfitters.com/mcp"}}}Open in Cursor{"servers":{"com-yardstickoutfitters":{"type":"http","url":"https://yardstickoutfitters.com/mcp"}}}Open in VS Code{"mcpServers":{"com-yardstickoutfitters":{"type":"http","url":"https://yardstickoutfitters.com/mcp"}}}{"mcpServers":{"com-yardstickoutfitters":{"serverUrl":"https://yardstickoutfitters.com/mcp"}}}Run commands in a terminal; paste JSON into the client’s MCP config and restart. Servers that need sign-in will prompt on first connect.
Tools
4| Parameter | Type | Required | Description |
|---|---|---|---|
| brand | string | Yes | Brand, e.g. Klim, Alpinestars, Shoei |
| units | enum | No | Units for all measurements (default: guessed from values)in | cm |
| measurements | object | Yes | Rider measurements |
| measurements.arm | number | No | |
| measurements.foot | number | No | Foot length |
| measurements.hand | number | No | Hand circumference |
| measurements.head | number | No | Head circumference |
| measurements.hips | number | No | |
| measurements.chest | number | No | |
| measurements.thigh | number | No | |
| measurements.waist | number | No | |
| measurements.height | number | No | |
| measurements.inseam | number | No | |
| measurements.weight | number | No | |
| product_name | string | No | Exact model, e.g. Klim Krios Pro or Bell MX-9 Adventure (needed for per-model helmet charts) |
| product_type | enum | Yes | jacket | pants | boots | helmet | gloves |
Details
The maintainer has not added details yet. Check the README in the repository.
Comments
New to MCP?
From what the protocol is to installing your first server, these answers cover most first questions.
An open protocol that defines how AI applications connect to external tools and data in a uniform way. Clients talk to the model; MCP servers provide tools, resources and prompt templates. They exchange standard messages, so one server can be reused by many clients.