Intervals MCP Server

MCP server for Intervals.icu — access training, wellness, and performance data from LLMs.

Remote serverstreamable-httpPython

What is the Intervals MCP server?

If you already use Intervals, the intervals mcp server is the piece that lets your assistant work with it directly. MCP server for Intervals.icu — access training, wellness, and performance data from LLMs.

What the server does

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.

62 tools spanning activities, activity analysis, activity messages, athlete profile, wellness, events/calendar, performance curves, workout library, gear, sport settings, and custom items — 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.

Available tools

The toolset is worth reading before you wire it up, because it tells you what the integration is really for:

  • Category — Tools

Installation

Because this one is hosted, setup is mostly authentication — you point your client at the endpoint and approve access. Nothing runs on your machine, so there is no runtime to keep patched.

Credentials and setup notes

Configuration is passed through the environment: INTERVALS_ICU_API_KEY, INTERVALS_ICU_ATHLETE_ID. Treat anything key-shaped as a real credential — scope it to the minimum the server needs, and rotate it if it ever lands in a shared config.

Install uv — 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.

Where it fits

Plenty of developer tooling servers cover similar ground. The differences that matter in practice are scope of access and how much setup stands between you and a working tool call. Intervals's toolset — Category — is a fair guide to whether it matches your workflow. It is maintained by hhopke; worth a glance at recent repository activity before you build anything load-bearing on it.

We check each listing at SyncDev against the project's documentation before it goes live — if something here drifts out of date, it is a bug worth reporting.

Worth knowing first

  • Your data travels to the provider's service, so the usual questions apply about what you send and what they retain.
  • Missing credentials fail quietly in some clients — if no tools show up, check the environment block first.
  • Keep per-call confirmation enabled while you learn its behaviour; it is the cheapest safeguard you have.

Available tools

ToolWhat it does
CategoryTools

How to install the Intervals MCP server

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

Configuration as documented by the project. Restart the client after saving.

Configuration

Install uv — 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.

VariableDescriptionRequired
INTERVALS_ICU_API_KEYCredential the server authenticates with.Yes
INTERVALS_ICU_ATHLETE_IDConfiguration value read at startup.Optional

Example prompts to try

  • Use Intervals to Category.

Frequently asked questions

It connects Intervals to MCP-compatible AI assistants such as Claude and Cursor, exposing 1 tool (Category) that the assistant can call on your behalf. Instead of copying data back and forth by hand, the assistant works with Intervals directly.