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Intervals Icu MCP

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MCP server for Intervals.icu β€” access training, wellness, and performance data from LLMs.

Quick Install

Automated & IDE Setup

Copy the AI prompt to install this server into Claude Code, Cursor, or another agent β€” or use 1-click editor setup below.

Add to CursorAdd to VS Code
Manual Client & Custom JSON ConfigExpand JSON β–Ύ

Client Config & Setup

Choose your client or environment
Target File:~/Library/Application Support/Claude/claude_desktop_config.json
claude_desktop_config.json
{
  "mcpServers": {
    "intervals-icu-mcp": {
      "command": "npx",
      "args": [
        "-y",
        "intervals-icu-mcp"
      ]
    }
  }
}

πŸ’‘ Paste the JSON block into your client's configuration file under mcpServers, then restart the application.

Install Directory Badge Claim listing AlternativesπŸ’» More in Developer Tools

Documentation Overview

Intervals.icu MCP Server

intervals-icu-mcp demo

A Model Context Protocol (MCP) server for Intervals.icu integration. Access your training data, wellness metrics, and performance analysis through Claude, ChatGPT, and other LLMs.

Originally based on eddmann/intervals-icu-mcp (MIT licensed). This project is an independent continuation with significant bug fixes and new features β€” see CHANGELOG.md for details.

Tests intervals-icu-mcp MCP server License: MIT Docker

Overview

62 tools spanning activities, activity analysis, activity messages, athlete profile, wellness, events/calendar, performance curves, workout library, gear, sport settings, and custom items β€” plus 4 MCP Resources (athlete profile, workout syntax, event categories, custom item schemas) and 7 MCP Prompts (training analysis, recovery check, weekly planning, and more). See Available Tools for the per-category breakdown.

Quick Start

Install in Cursor

Or for Claude Desktop, in 30 seconds:

  1. Get your API key and athlete ID
  2. Add this to your Claude Desktop config:
config.json
{
  "mcpServers": {
    "intervals-icu": {
      "command": "uvx",
      "args": ["intervals-icu-mcp"],
      "env": {
        "INTERVALS_ICU_API_KEY": "your-api-key-here",
        "INTERVALS_ICU_ATHLETE_ID": "i123456"
      }
    }
  }
}
  1. Restart Claude and ask "Show me my activities from the last 7 days."

Prefer Claude Code, Cursor, or ChatGPT? See Client Configuration. Want to run from source or with Docker? See Installation & Setup.

Prerequisites

Install uv β€” it handles Python, dependencies, and execution in one tool. brew install uv on macOS/Linux, or powershell -c "irm https://astral.sh/uv/install.ps1 | iex" on Windows. From there, uvx fetches Python and the package automatically. Docker is also supported as an alternative.

Intervals.icu API Key Setup

Before installation, obtain your Intervals.icu API key:

  1. Go to https://intervals.icu/settings β†’ Developer β†’ Create API Key.
  2. Copy the key, and note your Athlete ID from your profile URL (format: i123456).

Installation & Setup

Nothing to install separately if you use the recommended setup. uvx (which ships with uv) automatically downloads and caches the intervals-icu-mcp package the first time your MCP client launches it β€” just paste the config snippet from Client Configuration into your client and you're done.

Alternative: from source β€” for development or local modifications
bash
git clone https://github.com/hhopke/intervals-icu-mcp.git
cd intervals-icu-mcp
uv sync
uv run intervals-icu-mcp-auth  # interactive credential setup; or create .env manually:
#   INTERVALS_ICU_API_KEY=your_api_key_here
#   INTERVALS_ICU_ATHLETE_ID=i123456

Then point your MCP client at this checkout β€” see the From source snippet inside each client below.

Alternative: Docker
Terminal
docker build -t intervals-icu-mcp .

# Interactive credential setup (creates intervals-icu-mcp.env in the current directory):
touch intervals-icu-mcp.env  # pre-create the file so Docker mounts it as a file, not a dir
docker run -it --rm \
  -v "$(pwd)/intervals-icu-mcp.env:/app/.env" \
  --entrypoint= intervals-icu-mcp:latest \
  python -m intervals_icu_mcp.scripts.setup_auth

Or create intervals-icu-mcp.env manually (same format as the .env above).

Then point your MCP client at the Docker image β€” see the Docker snippet inside each client below.

Client Configuration

The server speaks MCP over stdio and works with any compliant client. Click a client to expand. If you followed Quick Start (uvx), use the first config block; if you used the source or Docker alternative above, use the matching variant inside the same collapsible.

Claude Desktop

Add to your configuration file:

  • macOS: ~/Library/Application Support/Claude/claude_desktop_config.json
  • Windows: %APPDATA%\Claude\claude_desktop_config.json
config.json
{
  "mcpServers": {
    "intervals-icu": {
      "command": "uvx",
      "args": ["intervals-icu-mcp"],
      "env": {
        "INTERVALS_ICU_API_KEY": "your-api-key-here",
        "INTERVALS_ICU_ATHLETE_ID": "i123456"
      }
    }
  }
}

From source (requires git clone + uv sync + uv run intervals-icu-mcp-auth):

config.json
{
  "mcpServers": {
    "intervals-icu": {
      "command": "uv",
      "args": ["run", "--directory", "/ABSOLUTE/PATH/TO/intervals-icu-mcp", "intervals-icu-mcp"]
    }
  }
}

Docker:

config.json
{
  "mcpServers": {
    "intervals-icu": {
      "command": "docker",
      "args": ["run", "-i", "--rm", "-v", "/ABSOLUTE/PATH/TO/intervals-icu-mcp.env:/app/.env", "intervals-icu-mcp:latest"]
    }
  }
}
Claude Code

Register the server as a user-scoped MCP server:

Terminal
claude mcp add intervals-icu --scope user \
  --env INTERVALS_ICU_API_KEY=your-key \
  --env INTERVALS_ICU_ATHLETE_ID=i123456 \
  -- uvx intervals-icu-mcp

Then in any Claude Code session, run /mcp to confirm intervals-icu is connected.

Cursor

Add to ~/.cursor/mcp.json (or the project-local .cursor/mcp.json):

config.json
{
  "mcpServers": {
    "intervals-icu": {
      "command": "uvx",
      "args": ["intervals-icu-mcp"],
      "env": {
        "INTERVALS_ICU_API_KEY": "your-api-key-here",
        "INTERVALS_ICU_ATHLETE_ID": "i123456"
      }
    }
  }
}

Restart Cursor and open Settings β†’ MCP to verify the server is listed.

ChatGPT β€” requires a paid plan, Developer Mode, and a publicly reachable URL (walkthrough not yet verified end-to-end)

ChatGPT's custom MCP connector flow requires running the server over HTTP and exposing it via a tunnel, then registering the URL in ChatGPT's Developer Mode settings. See docs/chatgpt-connector.md for the full walkthrough, plan-tier requirements, and security notes.

Usage

Ask Claude to interact with your Intervals.icu data in natural language. A few starter prompts:

Code
"Show me my activities from the last 30 days"
"Am I overtraining? Check my CTL, ATL, and TSB"
"How's my recovery this week? Show HRV and sleep trends"
"Create a sweet spot cycling workout for tomorrow"
"What's my 20-minute power and FTP?"

For the full catalogue of example prompts by category, see docs/examples.md.

Available Tools

62 tools, 4 resources, and 7 prompt templates. One-line summary below β€” full reference in docs/tools.md.

Read the full README β†’View source on GitHub β†’

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Reviews

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Frequently Asked Questions about Intervals Icu MCP

Add the following block to your claude_desktop_config.json under mcpServers: "mcpServers": { "intervals-icu-mcp": { "command": "npx", "args": ["-y", "intervals-icu-mcp"] } }

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Technical Specs & Signals

CategoryπŸ’»Developer Tools
More technical detailsExpand β–Ύ
TransportSTDIO
RuntimeNode.js
Last updatedSep 7, 2026
Views0
Unique ViewsTotal visits recorded for this listing page on AllMCPs.
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Installs & Copy ActionsTotal times users copied install commands or configuration snippets for this server.
27Quality signal: Emerging Β· 27/100How this signal is calculated β–Ύ
Server availabilityNot measured

Not scored for repo-hosted servers β€” we can't reach the running server, only its GitHub page. Hosted MCP endpoints are health-checked live.

Verified ownership8/20
Documentation & tools11/30
Adoption & activity1/15
Community engagement0/10

A guidance signal from public completeness & health data β€” not a user rating. New listings start lower and rise as they add docs, get verified, and grow adoption. Signals we can't observe for a listing are skipped, not counted against it.

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