About fuelcenter
Marathon fueling, pace, hydration, heat, carb-loading, and gel-comparison calculators.
Configuration
Remote servers need no local install. Pick your client, then copy the config or install in one click.
https://fuelcenter.co/api/mcpclaude mcp add --transport http codymcc4-fuelcenter https://fuelcenter.co/api/mcp{"mcpServers":{"codymcc4-fuelcenter":{"type":"http","url":"https://fuelcenter.co/api/mcp"}}}Open in Cursor{"servers":{"codymcc4-fuelcenter":{"type":"http","url":"https://fuelcenter.co/api/mcp"}}}Open in VS Code{"mcpServers":{"codymcc4-fuelcenter":{"type":"http","url":"https://fuelcenter.co/api/mcp"}}}{"mcpServers":{"codymcc4-fuelcenter":{"serverUrl":"https://fuelcenter.co/api/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
7| Parameter | Type | Required | Description |
|---|---|---|---|
| hours | number | Yes | Race or run duration, hours portion. |
| buffer | number | No | Minutes of buffer at start and end where no gel is taken. Default 5. |
| gelKey | enum | Yes | Gel product key. See /api/tools/gel-comparison for full catalog.sis_beta_fuel | maurten_100 | maurten_160 | precision_pf30 | gu_energy | gu_roctane | tailwind | spring_energy | carbs_fuel | neversecond_c30 | huma_chia |
| minutes | number | Yes | Race or run duration, minutes portion. |
| drinkMix | boolean | No | Whether the runner uses a carbohydrate drink mix. Default false. |
| intensity | enum | Yes | Effort level.easy | easy_moderate | moderate_hard | race_day |
| targetCPH | number | No | Target carbs per hour. If omitted, default is derived from guideline. |
| experience | enum | No | Runner experience with fueling. Default "standard".standard | experienced |
| drinkCarbsTotal | number | No | Total grams of carbs from drink mix across the run. Default 0. |
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.