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Trainzilla/tzilla-mcp

Trainzilla/tzilla-mcp

Trainzilla for personal trainers
View on GitHub ↗Direct link · no redirect page
Config template (adjust for your client)
claude mcp add tzilla-mcp -- npx -y tzilla-mcp
A pasteable skeleton generated from the repository name. Check the project README for the exact package and arguments.
Star count
0 ★ · Trainzilla/tzilla-mcp · read from the GitHub search API · (checked 2026-10-16 20:00:20)
Source
collected from the punkpeye/awesome-mcp-servers list · type: MCP server
Harvest history
first seen 2026-10-15 · last seen 2026-10-16 · seen 2× · listed by 2 sources
Score
score 203 · 2 sources · mcp
FAQ (answers come from our records)
How do I install it?
We did not find an install command for this repository (our install coverage is only about 4%). Check its README or releases page.
Who is it for?
We filed it under these tags: MCP 服务. The tags come from the entry itself, not a taxonomy we imposed.
Who maintains it?
repository Trainzilla/tzilla-mcp;first catalogued 2026-10-15;last seen 2026-10-16。There is no official certification or quality rating here — we record sources and dates only.
Third-party quality signals

tzilla-mcp (MVP, local only)

以下摘录自该仓库的 README(片段) · 在 GitHub 读完整 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 (94 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
Create .env (see .env.example) with a coach's tokens. Easiest source — log in
to the coach web app, then in the browser console:
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
Source
awesome · https://github.com/Trainzilla/tzilla-mcp
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