Trainzilla Coach MCP
Manage clients, plans, sessions, habits, and billing on Trainzilla via one-click OAuth.
What can you do with Trainzilla Coach MCP?
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_summarycalc_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 suggestionscreate_habit,create_master_habit,assign_master_habit
Install
Add this to your client's MCP configuration (Claude Desktop: claude_desktop_config.json; Cursor: .cursor/mcp.json; VS Code and others use the same "mcpServers" shape).
claude mcp add --transport http trainzilla-coach-mcp 'https://api.tzilla.live/mcp'
{
"mcpServers": {
"trainzilla-coach-mcp": {
"type": "http",
"url": "https://api.tzilla.live/mcp"
}
}
}
Documentation
From the project's README on GitHub, refreshed weekly. Links open on GitHub.
Contents
tzilla-mcp (MVP, local only)
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 (94 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
- [x] Write tools (habits, check-ins, sessions, plans) — confirm-gated
- [x] Resource (client profile) + prompt (weekly review)
- [x] Wider read coverage (plans, check-ins, sessions, billing)
- [x] Backend trainer API keys / PAT (built in
tzilla-be, local — needs PR + deploy) - [x] 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)
Frequently asked questions
What is Trainzilla Coach MCP?
Manage clients, plans, sessions, habits, and billing on Trainzilla via one-click OAuth.
How do I install Trainzilla Coach MCP?
It runs as a remote server. In Claude Code: claude mcp add --transport http trainzilla-coach-mcp 'https://api.tzilla.live/mcp'. For other clients, paste the JSON configuration from this page into their MCP settings.
Does Trainzilla Coach MCP need an API key?
Its registry entry lists no required key or secret. Some features may still need an account with the service it connects to.
Is Trainzilla Coach MCP open source?
Its code is public on GitHub, but the repository does not declare a standard license.
Who maintains Trainzilla Coach MCP?
It is published by Trainzilla. AI.tn lists it but does not maintain or endorse it.
From the official MCP Registry. Listing is not an endorsement: review a server's code and permissions before giving it access to your data.