SweatStack

GitHub - SweatStack/sweatstack-mcp Contribute to SweatStack/sweatstack-mcp development by creating an account on GitHub.

Code is hosted here: github.com/SweatStack/s...
Currently the server needs to be run locally (instructions in the README). A hosted version might follow later.

GitHub - modelcontextprotocol/python-sdk: The official Python SDK for Model Context Protocol servers and clients The official Python SDK for Model Context Protocol servers and clients - modelcontextprotocol/python-sdk

The SweatStack MCP server built using the official Python SDK for MCP servers: github.com/modelcontext...
...and uses the SweatStack Python library: developer.sweatstack.no/getting-star...

Even with Claude Desktop's code execution limitations, it can already analyze basic workout data from SweatStack. This proof-of-concept shows a path forward: As AI tools evolve, tools like this will become proper data analysis assitants for anyone interested. Small steps!

Screen recording of Claude Desktop accessing activity data from SweatStack using the SweatStack MCP server.

Fridriday hack project: SweatStack MCP server 🚀🤓
Now AI assistants can access SweatStack data directly! Watch Claude Desktop pull my activity data and analyze it without writing a single line of code!

The SweatStack Python library has built-in support for Streamlit, making it incredibly easy to start building your dream app.
developer.sweatstack.no/learn/integr...

New tutorial: Build a Streamlit app in minutes.
developer.sweatstack.no/tutorials/qu...

Currently works with Garmin Connect and @intervals.icu. More integrations will follow.

Try it out at sweatstack.run 🚀

Express Login gives you access to your data in Python in under 30 seconds at SweatStack.run!

New: SweatStack Express Login lets you register by simply connecting a data source - no account setup needed.
This drastically improves onboarding for 3rd party applications that are powered by SweatStack.

Sneak peek 😎

A screenshot of sweatstack.run that shows Python code on the left that pulls data from SweatStack and an ASCII art plot on the right.

An example of code/sandbox sharing: sweatstack.run/store/3232be...

Usecase is similar but different from the SweatStack Console: For quick explorations, the Console is slightly nicer to work with because it's a proper REPL that keeps a Python session running. However, for larger scripts that you want to keep and/or share, sweatstack.run is the way to go.

It automatically authenticates with your SweatStack account using OAuth2/OpenID and installs any dependency you import.

As an alternative to the Console, I also deployed a variant on @pydantic.dev 's pydantic.run : sweatstack.run

SweatStack Console: Quick access to your training data using an in-browser interactive Python console. 🚀
console.sweatstack.no