runcoach

varun-gangadharan/runcoach

★ 0 stars TypeScript AI/LLM Updated 1d ago

MCP server exposing a runner's own computed training data — load, race predictions, plans — as LLM-callable tools, grounded in a shared fixture-tested science core.

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Quick Install

Copy the config for your editor. Some servers may need additional setup — check the README.

Add to claude_desktop_config.json:

{
  "mcpServers": {
    "runcoach": {
      "command": "npx",
      "args": [
        "-y",
        "varun-gangadharan/runcoach"
      ]
    }
  }
}

README Excerpt

**Live:** [runcoach-ruby.vercel.app](https://runcoach-ruby.vercel.app) · MCP endpoint `https://runcoach-ruby.vercel.app/mcp` An MCP server that exposes a runner's own training data — computed training load, race-time predictions, generated plans — as tools an LLM can call. The point is grounding. Ask any assistant "should I back off this week" and it

Tools (5)

analyze_training_statusgenerate_training_planget_recent_activitiesget_training_loadpredict_race_time

runcoach

Quick Install

README Excerpt

Tools (5)

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