Workout MCP Server

what is Workout MCP Server?

Workout MCP Server is a Model Context Protocol (MCP) server designed to provide cycling workout analytics tools, enabling large language models (LLMs) to analyze fitness data, calculate training metrics, and offer insights into athletic performance.

how to use Workout MCP Server?

To use the Workout MCP Server, you can either run it using the uv tool or install it via pip. After installation, you can run it as a module using the command: python -m workout_mcp_server.

key features of Workout MCP Server?

• Retrieve workout history (last 50 or last 7 workouts)
• Look up specific workouts by ID
• Compute fitness metrics such as Chronic Training Load (CTL), Acute Training Load (ATL), and Training Stress Balance (TSB).

use cases of Workout MCP Server?

1. Analyzing cycling workout performance over time.
2. Calculating training metrics to optimize athletic training.
3. Providing insights for athletes to improve their performance based on historical data.

FAQ from Workout MCP Server?

• Can I retrieve my workout history?

Yes! You can retrieve the last 50 or last 7 workouts.

• How do I compute my fitness metrics?

You can use the provided tools to calculate CTL, ATL, and TSB based on your workout data.

• Is there a specific installation required?

You can run it directly using uv or install it via pip.