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Trainzilla/tzilla-mcp

Trainzilla/tzilla-mcp

Trainzilla for personal trainers
在 GitHub 查看 ↗直链 · 无中转页
配置模板(请按你的客户端调整)
claude mcp add tzilla-mcp -- npx -y tzilla-mcp
这是根据仓库名生成的可粘贴骨架,命令行参数与包名请以该项目 README 为准。
★ 数取值
0 ★ · Trainzilla/tzilla-mcp · 取自 GitHub 搜索 API · (2026-10-16 20:00:20 核对)
来源明细
收录自 punkpeye/awesome-mcp-servers 榜单(我们从中收集的条目之一) · 条目类型:MCP 服务
收录与活跃
收录于 2026-10-15 · 最近见到 2026-10-16 · 共见到 2 次 · 被 2 个来源列出
评分构成
综合分 203 · 2 个来源 · mcp
常见问题(答案都来自我们的记录)
怎么安装?
我们【没有】从该仓库取到安装命令(我们的 install 覆盖率只有约 4%)。请看它的 README 或 releases 页。
它适合谁 / 用来做什么?
我们把它归在这些标签下: MCP 服务。标签来自条目自身,不是我们强加的分类。
谁维护它、还在更新吗?
仓库 Trainzilla/tzilla-mcp;我们收录于 2026-10-15;最近见到 2026-10-16。这里没有"官方认证"或"质量评级"——我们只记录来源与时间。
第三方质量标记

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
来源
awesome · https://github.com/Trainzilla/tzilla-mcp
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