Milofax/xert-mcp

Overview

MCP server that bridges AI agents (e.g., Claude) to the XERT API, exposing endpoints for fitness signatures, training load, workouts, and activities. Built in TypeScript, it allows AI assistants to query and process athlete performance data directly through the Model Context Protocol.

Best for

Best for
Developers building AI assistants that analyze athlete training data from XERT

Use cases

• Fetch and analyze training load metrics from XERT
• Retrieve athlete fitness signatures for performance insights
• Integrate workout and activity data into AI-driven coaching tools

Notes

MCP server that bridges AI agents (e.g., Claude) to the XERT API, exposing endpoints for fitness signatures, training load, workouts, and activities. Built in TypeScript, it allows AI assistants to query and process athlete performance data directly through the Model Context Protocol.

4 stars on GitHub. Last updated 2026-03-04.

Use cases

• Fetch and analyze training load metrics from XERT
• Retrieve athlete fitness signatures for performance insights
• Integrate workout and activity data into AI-driven coaching tools

Pros

• TypeScript implementation offers type safety and easy integration
• Direct MCP interface simplifies AI access to XERT data
• Lightweight server tailored for a specific fitness API use case

Cons

• Limited to features exposed by the XERT API
• Requires XERT account and API credentials to function
• Small community with minimal documentation due to low star count

Indexed from awesome-mcp-servers-punkpeye and enriched against its public facts.