# intervals-icu-mcp

> intervals-icu-mcp — hadidwirsty-intervals-icu-mcp. Use this tool when you need to connect AI agents to a vast repository of training data, enabling access to activities, wellness metrics, and other relevant information to inform decision-making and analysis. It solves problems related to data access and post-session analysis for running coaches and athletes, providing inputs such as activity data and outputs like automated analysis reports. Ideal for use cases requiring seamless integration with Intervals.icu and AI-driven insights.

Canonical page: https://skillsregistry.net/skills/hadidwirsty-intervals-icu-mcp  
JSON: https://api.skillsregistry.net/v1/skills/hadidwirsty-intervals-icu-mcp

## Description

MCP server that connects AI agents to Intervals.icu, enabling access to training data such as activities, wellness metrics, calendar events, gear, power curves, and custom items. Includes a running coach AI template for automated post-session analysis.

## Trust

- **Trust score (0–1):** 0.67
- **Verification tier:** scanned
- **Last scanned:** 2026-08-29

## Facts

- **Version:** 1.0.0
- **Skill type:** atomic
- **Execution layer:** mcp-remote
- **Runtime environment:** api
- **Category:** ai-ml
- **Updated:** 2026-08-29

## Source

- **Source listing:** [Glama](https://glama.ai/mcp/servers/qsghkjj7ii)
- **Repository:** <https://github.com/hadidwirsty/intervals-icu-mcp>

## Use it

Resolve this record through the SkillsRegistry MCP server (no auth, read-only):

```
claude mcp add --transport http --scope user skillsregistry https://api.skillsregistry.net/mcp
```

```json
{
  "jsonrpc": "2.0",
  "id": 1,
  "method": "tools/call",
  "params": {
    "name": "get_skill",
    "arguments": {
      "slug": "hadidwirsty-intervals-icu-mcp"
    }
  }
}
```

REST: `GET https://api.skillsregistry.net/v1/skills/hadidwirsty-intervals-icu-mcp` · pull for local use: `GET https://api.skillsregistry.net/v1/skills/hadidwirsty-intervals-icu-mcp/pull`

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SkillsRegistry indexes agent skills from public registries and GitHub. Skills we have analysed are scanned with Circle-IR and scored on six dimensions; each listing states its scan coverage. More: https://skillsregistry.net/llms.txt