Spec Driven Development
MCP Server that facilitates spec-driven development workflows, not just Vibe Coding.
Description from the maker (original English)
Conditioning workouts from a coached library: suggest, vary or invent one for your kit and time.
These three are never merged into one score: opinions, measurements and popularity are different things.
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Works in Claude on the web, desktop and mobile:
https://api.goblingains.com/mcpRun this in your terminal
claude mcp add --transport http workouts https://api.goblingains.com/mcpPaste into .cursor/mcp.json in your project, or ~/.cursor/mcp.json
{
"mcpServers": {
"workouts": {
"url": "https://api.goblingains.com/mcp"
}
}
}Your browser asks to open the app, then the app shows the settings and asks you to confirm. Key values are left empty for you to fill in.
Paste into .vscode/mcp.json in your project
{
"servers": {
"workouts": {
"type": "http",
"url": "https://api.goblingains.com/mcp"
}
}
}Your browser asks to open the app, then the app shows the settings and asks you to confirm. Key values are left empty for you to fill in.
ChatGPT connects only to servers on the internet:
https://api.goblingains.com/mcpMenu names can differ slightly by plan and over time.
Your choice stays on this device in a cookie; no account needed.
These settings are generated from the maker’s registry entry. If the README says otherwise, follow the README.
Tool names and descriptions exactly as the server reported them on Nov 6, 2026. The maker wrote them, not us; we show them as plain text.
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") all work.
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_workouts(count=5, people=2, minutes_min=40, minutes_max=60, equipment=["echo-bike", "row-ergomet
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. For one person. Nothing is saved; other ones each call. suggest_workouts and vary_workout
report_workoutA user's verdict on a workout from these tools: a mistake (wrong equipment, a weight, a dose that cannot fit), or a workout they found bad or good. Stores the user's words for Goblin Gains, nothing else about the user.
We check information anyone can see; we have not read the code. Checks that do not apply are left out of the count. · Checked Nov 6, 2026
The registry lists no source repo, so we cannot match the publisher (goblingains.com) to the code
We have not read this repo from GitHub yet
We have not read this repo from GitHub yet
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Read 7 tool descriptions and found no hidden instructions to the AI
Compared with every active server in this category in the registry. Stars count only when the publisher owns the repo.
It passed 2 of 3 applicable basic checks. We have not read the code. Before adding a key or token, see what access the server asks for and use a key with only the permissions you need.
The registry does not list a required key, though some servers ask you to sign in on first use.
It runs in the maker’s cloud. Connect over the internet with nothing to install, but what you send passes through the maker’s servers.
The GitHub repo last changed –, and the latest version (1.0.0) reached the registry 5 days ago.
Apps that support MCP, such as Claude Desktop, Claude Code, Cursor and VS Code. It connects by URL, so apps that accept remote MCP servers work too, such as ChatGPT in developer mode.
In the same category: Spec Driven Development, Remote Desktop Commander, Fomu MCP
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Reading a card:★ GitHub starsiThree pillars: reviews · checks · usageiUpdated = latest version published to the registryi
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No README found in the repo