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XWeaponX7/rundida-mcp

by Various

MCP server for RunDida — marathon data, pace calculations, heart rate zones for AI agents

X

MCP

XWeaponX7/rundida-mcp

Added 1 June 2026

#marathon #mcp #model-context-protocol #running #running-calculator

Overview

An MCP server that exposes RunDida marathon data, pace calculations, and heart rate zones to AI agents. It is written in JavaScript and provides structured endpoints for agents to query running metrics.

Best for

Best for
Developers building AI agents that need structured marathon training metrics from RunDida

Use cases

  • Integrating marathon pace and heart rate data into AI coaching agents
  • Building automated training plan generators that pull real-time RunDida metrics
  • Enabling AI assistants to answer runner questions about pace zones and effort levels

Notes

An MCP server that exposes RunDida marathon data, pace calculations, and heart rate zones to AI agents. It is written in JavaScript and provides structured endpoints for agents to query running metrics.

0 stars on GitHub. Last updated 2026-04-28. Licensed MIT.

Use cases

  • Integrating marathon pace and heart rate data into AI coaching agents
  • Building automated training plan generators that pull real-time RunDida metrics
  • Enabling AI assistants to answer runner questions about pace zones and effort levels

Pros

  • Directly connects AI agents to specialized marathon data via the MCP protocol
  • Provides concrete pace and heart rate zone calculations, not just raw data
  • Lightweight JavaScript implementation easy to extend or embed

Cons

  • Zero stars and no community adoption indicates early-stage or unproven reliability
  • Limited to RunDida data source; no support for other running platforms
  • No documentation or usage examples provided beyond the repository description

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

Pros

  • Directly connects AI agents to specialized marathon data via the MCP protocol
  • Provides concrete pace and heart rate zone calculations, not just raw data
  • Lightweight JavaScript implementation easy to extend or embed

Cons

  • Zero stars and no community adoption indicates early-stage or unproven reliability
  • Limited to RunDida data source; no support for other running platforms
  • No documentation or usage examples provided beyond the repository description