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.
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