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Trainzilla

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Trainzilla MCP connects Claude to your Trainzilla coach account, turning your client roster, programming, and habit tracking into something you can manage conve

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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_profile
  • list_client_habits, get_habit_compliance, recent_habit_activity, master_habits
  • list_workout_plans, list_diet_plans
  • list_checkins, list_sessions, list_subscriptions, billing_summary

Calculators (offline, no network):

  • calc_tdee — BMR / TDEE / recommended calories
  • calc_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_habit
  • create_checkin (with questions), schedule_session
  • create_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 (set MCP_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_URL wins when set.
    • Otherwise TZ_ENVIRONMENT=staging uses https://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_... or x-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 plaintext tz_… key once + info
  • apiKeys (list, no secret) · revokeApiKey(id)
  • Auth middleware accepts tz_ keys (header x-api-key or Bearer), resolves the owning coach, and stamps lastUsedAt. 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)

from github.com/Trainzilla/tzilla-mcp

Установка Trainzilla

У этого сервера нет опубликованного пакета — он собирается из исходников. Открой репозиторий и следуй инструкции в README.

▸ github.com/Trainzilla/tzilla-mcp

FAQ

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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