goblingains
by FastDrop
Conditioning workouts from a coached library: suggest, vary or invent one for your kit and time.
Conditioning workouts from a coached library: suggest, vary or invent one for your kit and time. Official MCP Registry: com.goblingains/workouts@1.0.0. Remote endpoint: https://api.goblingains.com/mcp
Problem it solves
Discoverable MCP server listed in the official MCP Registry.
How it's different
Remote MCP endpoint ingested from the official registry and probed by FastDrop.
Ingested from the official MCP Registry
FastDrop pulled this entry from the official MCP Registry as com.goblingains/workouts and probed the endpoint. The maker did not submit it, so the outbound link is not endorsed
and the description is not theirs.
If this is your server, claim the listing to edit it and take ownership. The registry index lists everything else still awaiting a probe.
Claim this listingTools this endpoint exposes
Read directly from the endpoint on 1 Nov 2026. Not supplied by the maker.
list_archetypesThe workout archetypes the generator makes, one per line: key, name, formats, minutes, line count, and the session slots it serves.
list_equipmentThe equipment suggest_workouts' `equipment` takes, one per line: key: name, with "(machine)" on ergometers (rower, ski erg, bikes). Keys, names and common names ("echo", "row erg", "DB", "kb")
find_movementsMovement slugs whose name holds `query` (e.g. "row", "sled"), for suggest_workouts' include and exclude, machines and runs first.
suggest_workoutsNew workouts from our generator, as text. Ask this instead of writing workouts yourself. Nothing is saved. Example, two people with an echo bike, rower and ski erg, 40-60 min: suggest_wor
vary_workoutVariations of one library workout from our generator (no AI), as text, in its own format or another. Nothing is saved. A shortfall says what blocked it.
generate_workoutsNew workouts unlike any in the library, from our generator (no AI), as text: evolved from the library's workouts and movements (more lines, fewer, other formats) into kinds it does not hold. F
report_workoutSend Goblin Gains what the user thinks of a workout from these tools. Call it whenever the user points out a mistake (wrong equipment, a weight, a dose that cannot fit) or says a workout is ba
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Matched on shared tags and the tools their MCP servers actually expose.
Shares tags: MCP server
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