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@mrumm mrumm commented Nov 22, 2025

Description

Add AI Endurance MCP server to the README - AI-powered training platform for runners, cyclists, and triathletes with 20 tools for workout management, activity analysis, performance predictions, and recovery tracking.

Server Details

  • Server: N/A - New listing
  • Changes to: README only (adding new third-party server entry)

Motivation and Context

Adding AI Endurance to the MCP servers directory to make it discoverable for athletes who want to use a client to interact with their training data. The server provides comprehensive training management tools including workout scheduling, activity analysis, ML-based performance predictions, and recovery tracking for cycling, running, swimming, and triathlon.

How Has This Been Tested?

  • Claude.ai (web interface)
  • Claude Desktop (macOS)
  • ChatGPT Apps & Connectors (Developer mode)

Live endpoint: https://aiendurance.com/mcp
Documentation: https://github.com/ai-endurance/mcp

Breaking Changes

N/A - This is a new server listing, not a modification to existing code.

Types of changes

  • Bug fix (non-breaking change which fixes an issue)
  • New feature (non-breaking change which adds functionality)
  • Breaking change (fix or feature that would cause existing functionality to change)
  • Documentation update

Checklist

  • I have read the MCP Protocol Documentation
  • My changes follows MCP security best practices
  • I have updated the server's README accordingly
  • I have tested this with an LLM client
  • My code follows the repository's style guidelines
  • New and existing tests pass locally
  • I have added appropriate error handling
  • I have documented all environment variables and configuration options

Additional context

Server capabilities:

  • Protocol: MCP 2025-03-26 with SSE transport
  • Authentication: OAuth 2.0 with dynamic client registration (RFC 7591)
  • Tools: 20 tools across workout management, activity history, and analytics
  • Prompts: 5 conversation templates for common training workflows
  • Multi-sport: Full support for cycling, running, swimming, and triathlon

Documentation: Comprehensive setup guide and API documentation at https://github.com/ai-endurance/mcp

…or endurance athletes with 20 tools including workout management, activity analysis, performance predictions, and recovery tracking. Supports cycling, running, and triathlon.
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@domdomegg domdomegg left a comment

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Thanks for the PR! At this time given the scale of AI endurance, can you move this to the community servers section (instead of official integrations) and we can get this merged.

Alternatively can you provide some evidence that AI endurance is well-used by many people, and fix the formatting so it fits with the other entries?

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2 participants