Trainzilla
БесплатноНе проверенTrainzilla MCP connects Claude to your Trainzilla coach account, turning your client roster, programming, and habit tracking into something you can manage conve
Описание
Trainzilla MCP connects Claude to your Trainzilla coach account, turning your client roster, programming, and habit tracking into something you can manage conversationally. Built for fitness coaches running their practice on Trainzilla, it lets Claude pull up client profiles and metrics, build and review workout and diet plans, create and assign habits, run quick calculations (TDEE, macros, 1RM),
README
A local MCP server that lets an MCP client
(Claude Desktop, Claude Code, Cursor, …) act as a Trainzilla coach. It wraps
the existing GraphQL API at api.tzilla.live — no direct DB access — so all
auth and business rules stay enforced by the backend.
Status: Local MVP — read tools, offline calculators, and confirm-gated write tools, plus a resource + a prompt. Not deployed anywhere. Runs entirely on your machine against your own coach login.
What it can do today (23 tools, 1 resource, 1 prompt)
Read (live data):
whoami,list_clients,get_client_profilelist_client_habits,get_habit_compliance,recent_habit_activity,master_habitslist_workout_plans,list_diet_planslist_checkins,list_sessions,list_subscriptions,billing_summary
Calculators (offline, no network):
calc_tdee— BMR / TDEE / recommended caloriescalc_macros— macro split by strategy (Standard 40/30/30, Pro g/kg, Keto)calc_1rm— 1-rep-max (Epley) + %1RM weight suggestions
Write (confirm-gated): every write tool returns a preview unless called
with confirm: true, so nothing changes by accident:
create_habit,create_master_habit,assign_master_habitcreate_checkin(with questions),schedule_sessioncreate_workout_plan,create_diet_plan
Still not exposed: deletes, payment execution/refunds, messaging, permission changes — by design.
Resource: tzilla://client/{clientId}/profile — a client's profile as JSON.
Prompt: weekly_client_review — pulls profile/habits/compliance/sessions and
writes a read-only weekly review.
Setup
npm install
npm run build
Create .env (see .env.example) with a coach's tokens. Easiest source — log in
to the coach web app, then in the browser console:
localStorage.getItem("token") // -> TZ_ACCESS_TOKEN
localStorage.getItem("refreshToken") // -> TZ_REFRESH_TOKEN
The server auto-refreshes the access token via refreshAccessToken when it expires.
Run
Local (stdio) — for Claude Desktop etc.:
- Dev:
npm run dev - Built:
npm start - Smoke:
node scripts/smoke.mjs
Remote (Streamable HTTP) — localhost only, multi-coach:
- Dev:
npm run http· Built:npm run start:http - Listens on
http://127.0.0.1:8787/mcp(setMCP_HTTP_PORT/MCP_HTTP_HOST). - Smoke:
node scripts/smoke-http.mjs
Auth modes
- stdio: uses
TZ_ACCESS_TOKEN(+TZ_REFRESH_TOKEN) from env; auto-refreshes. - Endpoint selection:
TZ_API_URLwins when set.- Otherwise
TZ_ENVIRONMENT=staginguseshttps://qa-be2.tzilla.live/graphql. - All other cases default to
https://api.tzilla.live/graphql.
- HTTP: pass-through — each request must send the coach's API key
(
Authorization: Bearer tz_...orx-api-key). The server never stores tokens; it forwards the caller's key to the GraphQL API, so the backend enforces scope (multi-coach safe). API keys are minted by the backend feature below.
Backend: trainer API keys (built in tzilla-be, local — not deployed yet)
createApiKey(name)→ returns the plaintexttz_…key once + infoapiKeys(list, no secret) ·revokeApiKey(id)- Auth middleware accepts
tz_keys (headerx-api-keyorBearer), resolves the owning coach, and stampslastUsedAt. Only a SHA-256 hash is stored.
Use from Claude Desktop
Add to claude_desktop_config.json (Settings → Developer → Edit Config):
{
"mcpServers": {
"tzilla-coach": {
"command": "node",
"args": ["C:/New folder/tzilla-mcp/dist/index.js"],
"env": {
"TZ_API_URL": "https://api.tzilla.live/graphql",
"TZ_ACCESS_TOKEN": "<paste>",
"TZ_REFRESH_TOKEN": "<paste>"
}
}
}
}
Restart Claude Desktop, then try: "Use tzilla-coach: who am I, and list my clients."
Roadmap
- Write tools (habits, check-ins, sessions, plans) — confirm-gated
- Resource (client profile) + prompt (weekly review)
- Wider read coverage (plans, check-ins, sessions, billing)
- Backend trainer API keys / PAT (built in
tzilla-be, local — needs PR + deploy) - Remote Streamable-HTTP transport (localhost, API-key pass-through auth)
- Deploy the backend API-key feature; host the HTTP server (TLS) for real remote use
- Full MCP OAuth 2.1 (replace pass-through) for a public connector
- More resources (plans / check-in history) + prompts (e.g. "draft a plan")
Layout
src/
config.ts # env + tiny .env loader
client.ts # GraphQL client: bearer auth + refresh-on-401 + role header
calc.ts # offline coach math (ported from HealthMath/WorkoutMath)
index.ts # MCP server + tool definitions (stdio)
scripts/
smoke.mjs # spawns the server and lists tools (handshake check)
Установка Trainzilla
У этого сервера нет опубликованного пакета — он собирается из исходников. Открой репозиторий и следуй инструкции в README.
▸ github.com/Trainzilla/tzilla-mcpFAQ
Trainzilla MCP бесплатный?
Да, Trainzilla MCP бесплатный — установка в пару кликов через Unyly без оплаты.
Нужен ли API-ключ для Trainzilla?
Нет, Trainzilla работает без API-ключей и переменных окружения.
Trainzilla — hosted или self-hosted?
Self-hosted: сервер запускается локально на твоей машине командой из раздела установки.
Как установить Trainzilla в Claude Desktop, Claude Code или Cursor?
Открой Trainzilla на unyly.org, выбери вкладку своего клиента (Claude Desktop, Claude Code, Cursor) и нажми Install — конфиг сгенерируется автоматически, без правки JSON.
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