# intervals.icu MCP Server

> intervals.icu MCP Server — kylemabry95-intervals-icu-to-claude-mcp-connection. Use this tool when you need to access and manage fitness training data through natural language conversation, enabling Claude AI to retrieve and utilize workouts, wellness, and fitness trends. It solves problems related to data retrieval and management in the fitness domain, providing a conversational interface for inputs and outputs. Ideal for use cases where AI-powered fitness data management is required, such as virtual training assistants or health and wellness platforms.

Canonical page: https://skillsregistry.net/skills/kylemabry95-intervals-icu-to-claude-mcp-connection  
JSON: https://api.skillsregistry.net/v1/skills/kylemabry95-intervals-icu-to-claude-mcp-connection

## Description

Enables Claude AI to access and manage intervals.icu training data, including workouts, wellness, and fitness trends, through natural language conversation.

## Trust

- **Trust score (0–1):** 0.65
- **Verification tier:** scanned
- **Last scanned:** 2026-08-30

## Facts

- **Version:** 1.0.0
- **Skill type:** atomic
- **Execution layer:** mcp-remote
- **Runtime environment:** api
- **Category:** other
- **Updated:** 2026-08-30

## Source

- **Source listing:** [Glama](https://glama.ai/mcp/servers/ls6m1hodl4)
- **Repository:** <https://github.com/kylemabry95/intervals.icu_to_claude_mcp_connection>

## 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": "kylemabry95-intervals-icu-to-claude-mcp-connection"
    }
  }
}
```

REST: `GET https://api.skillsregistry.net/v1/skills/kylemabry95-intervals-icu-to-claude-mcp-connection` · pull for local use: `GET https://api.skillsregistry.net/v1/skills/kylemabry95-intervals-icu-to-claude-mcp-connection/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