Trainerize MCP Server
# How to connect Trainerize to ChatGPT, Claude and any AI agent
**Yes, ChatGPT, Claude and other AI agents can work in your Trainerize account.** Cotlet.dev connects your signed-in Trainerize account to AI agents so you can manage clients, programs, check-ins and messages.
## What you can ask
> List my Trainerize clients who have not been active in the last 7 days and group them by trainer.
> Show Alex Rivera's goals, current programs and body stats for the last 90 days.
> Find check-ins submitted this week and summarize the answers that need a reply.
> List my appointments for next Monday and send Sam Carter a message confirming the time.
> Subscribe all clients tagged Challenge to the 6-week Shred master program starting Monday.
## Connect in 2 minutes
Get your API key at https://cotlet.dev/app and export it as `COTLET_API_KEY`.
### Claude Code
```bash
claude mcp add --transport http cotlet https://cotlet.dev/mcp/v1 --header "Authorization: Bearer $COTLET_API_KEY"
```
### ChatGPT
Settings → Apps → add connector URL `https://cotlet.dev/mcp/v1`, then sign in with Cotlet.dev. No API key needed.
### Cursor
Copy `.cursor/mcp.json` from this repo into your project:
```json
{
"mcpServers": {
"cotlet": {
"url": "https://cotlet.dev/mcp/v1",
"headers": {
"Authorization": "Bearer ${COTLET_API_KEY}"
}
}
}
}
```
## Run it locally (stdio)
This repo is a real MCP server. It speaks MCP over stdio, lists its Trainerize tools without any key, and forwards every tool call to the hosted Cotlet.dev server. The hosted URL above stays the recommended way. Use this when your client only starts local servers.
```json
{"mcpServers":{"trainerize":{"command":"uvx","args":["trainerize-mcp"],"env":{"COTLET_API_KEY":"your-key"}}}}
```
Or with Docker:
```bash
docker build -t trainerize-mcp .
docker run -i --rm -e COTLET_API_KEY trainerize-mcp
```
Tools: `trainerize_guide`, `trainerize_status`, `trainerize_open`, `trainerize_read`, `trainerize_click`, `trainerize_type`, `trainerize_close`. Without `COTLET_API_KEY` a tool call answers: "Set COTLET_API_KEY. Get a key at https://cotlet.dev/app".
## Command line
Python 3.10+, nothing else to install. From PyPI:
```bash
pip install trainerize-mcp # or run it once: uvx trainerize-mcp connect
trainerize-mcp connect
```
Or straight from this repo:
```bash
export COTLET_API_KEY="your-key"
python3 trainerize_agent.py connect # ready config for Claude Code, Cursor, ChatGPT
python3 trainerize_agent.py status # is Trainerize ready in your Cotlet.dev account
python3 trainerize_agent.py guide # Trainerize screens and sign-in link
python3 trainerize_agent.py read # open Trainerize, read the page, close the browser
python3 trainerize_agent.py tools # list Cotlet.dev tools
python3 trainerize_agent.py serve # start the stdio MCP server (same as no argument)
```
## Questions from Trainerize users
**Does Trainerize have an API?**
Trainerize offers API and webhook documentation for some integrations, while Cotlet.dev provides a hosted connection to your signed-in Trainerize account for the client, program, check-in and messaging tools.
**How do I connect Trainerize to ChatGPT?**
Add Cotlet.dev in ChatGPT with the connector URL `https://cotlet.dev/mcp/v1/connect`, sign in to Trainerize once in your Cotlet.dev Cloud Browser, and ask ChatGPT in plain words.
**Can I use Claude with Trainerize?**
Yes. Add `https://cotlet.dev/mcp/v1/connect` as a custom connector in Claude, or use the Cotlet MCP server from Claude Code, and Claude can work with your Trainerize account.
**What can the Trainerize MCP server do?**
Cotlet.dev provides 14 Trainerize tools for clients, body stats, check-ins, conversations, programs, appointments, messages, tags and client status in ChatGPT, Claude and other AI agents.
## Find it on
- [Trainerize on Cotlet.dev](https://cotlet.dev/integrations/trainerize-api-mcp-server?utm_source=github&utm_medium=readme&utm_campaign=trainerize&utm_content=find)
- [PyPI package trainerize-mcp](https://pypi.org/project/trainerize-mcp/)
- [Odel](https://odel.app/modules/cotlet/trainerize)
- [mcpbeat](https://mcpbeat.com/mcp-servers/cotlet/trainerize/)
- [Step-by-step guide (PDF) on Internet Archive](https://archive.org/details/cotlet-connect-trainerize-to-ai-agents-guide)
## Also works with
- [Mangomint MCP](https://github.com/cotlet-connect/mangomint-mcp)
- [Wanderlog MCP](https://github.com/cotlet-connect/wanderlog-mcp)
- [SmugMug MCP](https://github.com/cotlet-connect/smugmug-mcp)
- [Garmin Connect MCP](https://github.com/cotlet-connect/garmin-mcp)
- [Housecall Pro MCP](https://github.com/cotlet-connect/housecall-pro-mcp)
- [Medium MCP](https://github.com/cotlet-connect/medium-mcp)
- [Crexi MCP](https://github.com/cotlet-connect/crexi-mcp)
- [DistroKid MCP](https://github.com/cotlet-connect/distrokid-mcp)
- [LinkedIn MCP](https://github.com/cotlet-connect/linkedin-mcp)
- [EstimateOne MCP](https://github.com/cotlet-connect/estimateone-mcp)
- [Google Search Console MCP](https://github.com/cotlet-connect/google-search-console-mcp)
- [Lichess MCP](https://github.com/cotlet-connect/lichess-mcp)
- [Strava MCP](https://github.com/cotlet-connect/strava-mcp)
- [StreamElements MCP](https://github.com/cotlet-connect/streamelements-mcp)
- [Meetup MCP](https://github.com/cotlet-connect/meetup-mcp)
- [AccuRanker MCP](https://github.com/cotlet-connect/accuranker-mcp)
- [GetYourGuide MCP](https://github.com/cotlet-connect/getyourguide-mcp)
- [Idealista MCP](https://github.com/cotlet-connect/idealista-mcp)
- [Riverside MCP](https://github.com/cotlet-connect/riverside-mcp)
- [Udemy MCP](https://github.com/cotlet-connect/udemy-mcp)
- [Faire MCP](https://github.com/cotlet-connect/faire-mcp)
- [Teachable MCP](https://github.com/cotlet-connect/teachable-mcp)
- [Vagaro MCP](https://github.com/cotlet-connect/vagaro-mcp)
- [Buildertrend MCP](https://github.com/cotlet-connect/buildertrend-mcp)
- [Zoopla MCP](https://github.com/cotlet-connect/zoopla-mcp)
- [Dribbble MCP](https://github.com/cotlet-connect/dribbble-mcp)
- [Hostelworld MCP](https://github.com/cotlet-connect/hostelworld-mcp)
- [Mashvisor MCP](https://github.com/cotlet-connect/mashvisor-mcp)
- [Rent Manager MCP](https://github.com/cotlet-connect/rent-manager-mcp)
- [ThriveCart MCP](https://github.com/cotlet-connect/thrivecart-mcp)
- [Fresha MCP](https://github.com/cotlet-connect/fresha-mcp)
- [Booksy MCP](https://github.com/cotlet-connect/booksy-mcp)
- [BookingKoala MCP](https://github.com/cotlet-connect/bookingkoala-mcp)
- [Milanote MCP](https://github.com/cotlet-connect/milanote-mcp)
- [Partiful MCP](https://github.com/cotlet-connect/partiful-mcp)
- [Contractor Foreman MCP](https://github.com/cotlet-connect/contractor-foreman-mcp)
- [Pixieset MCP](https://github.com/cotlet-connect/pixieset-mcp)
- [GlossGenius MCP](https://github.com/cotlet-connect/glossgenius-mcp)
- [ZenMaid MCP](https://github.com/cotlet-connect/zenmaid-mcp)
- [AroFlo MCP](https://github.com/cotlet-connect/aroflo-mcp)
- [Simpro MCP](https://github.com/cotlet-connect/simpro-mcp)
- [Workiz MCP](https://github.com/cotlet-connect/workiz-mcp)
- [Kickserv MCP](https://github.com/cotlet-connect/kickserv-mcp)
- [Service Autopilot MCP](https://github.com/cotlet-connect/service-autopilot-mcp)
- [Boulevard MCP](https://github.com/cotlet-connect/boulevard-mcp)
- [Mindbody MCP](https://github.com/cotlet-connect/mindbody-mcp)
- [Meevo MCP](https://github.com/cotlet-connect/meevo-mcp)
- [DaySmart MCP](https://github.com/cotlet-connect/daysmart-mcp)
- [Acuity Scheduling MCP](https://github.com/cotlet-connect/acuity-scheduling-mcp)
- [Jane App MCP](https://github.com/cotlet-connect/jane-app-mcp)
- [FieldEdge MCP](https://github.com/cotlet-connect/fieldedge-mcp)
- [Phorest MCP](https://github.com/cotlet-connect/phorest-mcp)
- [DINGG MCP](https://github.com/cotlet-connect/dingg-mcp)
- [Invoice Simple MCP](https://github.com/cotlet-connect/invoice-simple-mcp)
- [PhotoShelter MCP](https://github.com/cotlet-connect/photoshelter-mcp)
- [RazorSync MCP](https://github.com/cotlet-connect/razorsync-mcp)
- [ShootProof MCP](https://github.com/cotlet-connect/shootproof-mcp)
- [Invoice2go MCP](https://github.com/cotlet-connect/invoice2go-mcp)
- [Appointy MCP](https://github.com/cotlet-connect/appointy-mcp)
- [Contractor+ MCP](https://github.com/cotlet-connect/contractor-plus-mcp)
- [Petpooja MCP](https://github.com/cotlet-connect/petpooja-mcp)
- [Teachers Pay Teachers MCP](https://github.com/cotlet-connect/teachers-pay-teachers-mcp)
- [Bloom MCP](https://github.com/cotlet-connect/bloom-mcp)
- [AestheticsPro MCP](https://github.com/cotlet-connect/aestheticspro-mcp)
- [Club OS MCP](https://github.com/cotlet-connect/club-os-mcp)
- [EZ Lawn Biller MCP](https://github.com/cotlet-connect/ez-lawn-biller-mcp)
- [Eversports Studio Manager MCP](https://github.com/cotlet-connect/eversports-studio-manager-mcp)
- [Exercise.com MCP](https://github.com/cotlet-connect/exercise-com-mcp)
- [Gymdesk MCP](https://github.com/cotlet-connect/gymdesk-mcp)
- [Iris Works MCP](https://github.com/cotlet-connect/iris-works-mcp)
- [CoachingPortal MCP](https://github.com/cotlet-connect/coachingportal-mcp)
- [CrewNest MCP](https://github.com/cotlet-connect/crewnest-mcp)
- [Paired Plus MCP](https://github.com/cotlet-connect/paired-plus-mcp)
- [ClubReady MCP](https://github.com/cotlet-connect/clubready-mcp)
- [Joist MCP](https://github.com/cotlet-connect/joist-mcp)
- [All apps connected through Cotlet.dev](https://github.com/cotlet-connect)
---
More: https://cotlet.dev/integrations/trainerize-api-mcp-server?utm_source=github&utm_medium=readme&utm_campaign=trainerize
Start free: https://cotlet.dev/signup?app=trainerize&utm_source=github&utm_medium=readme&utm_campaign=trainerize
TDQS
Scored across 7 tools
Each tool maps to a distinct browser-automation action (open, read, click, type, close) plus two informational tools. The only mild overlap is between trainerize_guide and trainerize_status, since both are 'call early' prerequisites, which could leave an agent briefly unsure which to invoke first.
All seven tools use a uniform trainerize_<verb> or trainerize_<noun> snake_case convention with short, unambiguous names. The pattern is fully predictable across the set.
Seven tools is well-scoped for a browser-driving server: a core action loop (open/read/click/type/close) plus onboarding and credential checks. No tool appears redundant or padding the surface.
The session lifecycle is fully covered from setup through read/act to teardown. Minor gaps remain for common browser needs such as explicit navigation to an arbitrary URL, scrolling long pages, and selecting dropdown options, which agents may have to work around via click/type.