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Trainzilla MCP Server

@Trainzilla

基本信息

分类

其他

传输方式

stdio

作者

Trainzilla

提交者

Nitish Gulati

关于 Trainzilla MCP Server

AI assistant for fitness coaches on Trainzilla. Manage clients, create workout and diet plans, schedule sessions, track habit compliance, review check-ins, and query billing — all via one-click OAuth 2.0. No token paste required.

Trainzilla MCP Server 配置

暂无标准配置

该服务器的 README 中没有可解析的 MCP 配置块,请前往代码仓库查看安装说明。

代码仓库

Trainzilla MCP Server 工具

18

Get your trainer profile

List all active coaching clients

Detailed client profile

List workout plans for a client

Create a new workout plan

List diet plans for a client

Create a new diet plan

List upcoming coaching sessions

Schedule a new session

Review client check-ins

List habits assigned to a client

Habit compliance data

Recent habit activity feed

Revenue and billing overview

Active client subscriptions

Calculate macros from calories + goal

Calculate Total Daily Energy Expenditure

One-rep max from weight and reps

概览

What is Trainzilla Mcp?

Trainzilla Mcp connects Claude (or any MCP-compatible AI) to your Trainzilla coaching account, allowing you to manage clients, workout plans, diet plans, sessions, habits, and billing using plain English — no scripts or token paste required.

How to use Trainzilla Mcp?

Add the MCP endpoint https://api.tzilla.live/mcp in Claude.ai’s connectors section (claude.ai/customize/connectors), name it “Trainzilla”, and connect via OAuth 2.0 one-click consent. No manual tokens needed.

Key features of Trainzilla Mcp

  • List and manage active coaching clients
  • Create and view workout and diet plans
  • Schedule and list upcoming coaching sessions
  • Review client check‑ins and habit compliance
  • Access billing summaries and subscription data
  • Calculate macros, TDEE, and one‑rep max

Use cases of Trainzilla Mcp

  • Quickly check which clients have missed check‑ins recently
  • Create a new strength program with progressive overload for a client
  • View your monthly revenue and billing overview
  • Calculate macronutrient targets for a client on a cutting diet
  • Review habit compliance trends across all active clients

常见问题

1

What can Trainzilla Mcp do that the Trainzilla web app cannot?

The README does not compare the MCP server to the web app.

2

What runtime or dependencies are required?

No runtime or dependencies are mentioned beyond an MCP‑compatible AI client (e.g., Claude) and a Trainzilla coaching account.

3

Where is my coaching data stored?

The README does not specify data storage location; it connects to the Trainzilla API at `https://api.tzilla.live/mcp`.

4

What transport and authentication does Trainzilla Mcp use?

Transport: Stateless Streamable HTTP. Auth: OAuth 2.0 with PKCE (S256) and dynamic client registration (RFC 7591). No manual token paste required.

5

Are there any known limits to the tools provided?

The README does not list any limits or rate limits.

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