intervals-icu-mcp

Active·★ 30·MIT·Updated 2026-07-19

This project provides a Model Context Protocol (MCP) server for Intervals.icu, enabling large language models like Claude and ChatGPT to access and analyze personal training, wellness, and performance data. It integrates 58 tools and several resources, allowing natural language queries to manage and understand athletic metrics and activities.

intervals-icu-mcp is currently grouped under API Integration, which makes it easier to evaluate through workflow fit instead of isolated features alone. Based on the available data, it leans most heavily toward Integrates with Intervals.icu to access diverse athletic data (training, wellness, performance, gear). and Query recent activities and training logs from Intervals.icu using natural language commands.. The listed license is MIT, which is useful when adoption constraints matter. It also shows measurable community traction with 30 GitHub stars.

#LLM Integration#Fitness Tracking#Sports Performance#API Wrapper#Data Analysis#MCP Server#AI Assistant

Features

01Integrates with Intervals.icu to access diverse athletic data (training, wellness, performance, gear).

02Provides 58 specialized tools for activities, analysis, wellness, events, and custom items.

03Supports natural language interaction with LLMs for data queries and actions via MCP.

04Offers flexible deployment options including uvx, Docker, and running from source.

05Includes configurable safety modes for destructive operations to prevent unintended data loss.

Why choose it

+Integrates with Intervals.icu to access diverse athletic data (training, wellness, performance, gear).

+Query recent activities and training logs from Intervals.icu using natural language commands.

+Covers 6 supported environments or platforms, which is helpful for broader deployment needs.

+Ships with a public repository and a MIT license, which makes adoption and review easier.

Trade-offs

!There are at least 8 related tools in the same category, so the best choice is easier to make after side-by-side comparison.

Compatibility

Claude Desktop

Client

Verified via docs

Claude Code

Client

Verified via docs

Cursor

Client

Verified via docs

ChatGPT

Client

Verified via docs

Python

Runtime

Verified via docs

Docker

Deployment

Verified via docs

Quick start

$ brew install uv

$ uvx intervals-icu-mcp

Use cases

↳Query recent activities and training logs from Intervals.icu using natural language commands.

↳Analyze athletic performance metrics like CTL, ATL, TSB, HRV, and sleep trends to assess recovery and prevent overtraining.

↳Create or manage planned workouts, races, and calendar events directly through LLM interactions.

↳Access and manage personal athlete profile, sport settings (e.g., FTP), and custom items within Intervals.icu.

How it compares

≈intervals-icu-mcp sits in the API Integration category, so it makes more sense to evaluate it alongside tools like awesome-mcp-servers instead of in isolation.

≈If your main need is closer to "Query recent activities and training logs from Intervals.icu using natural language commands.", that use case is a better lens for comparison than broad feature checklists alone.

≈intervals-icu-mcp uses a MIT license, and community traction are both easier to judge in category context.

Features

Why choose it

Trade-offs

Compatibility

Quick start

Use cases

How it compares

Alternatives

Related searches

Comments

Features

Why choose it

Trade-offs

Compatibility

Quick start

Use cases

How it compares

Alternatives

Related searches

Comments