mvilanova intervals mcp server

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by mvilanova

Model Context Protocol (MCP) server for connecting Claude with the Intervals.icu API

What is mvilanova intervals mcp server

Intervals.icu MCP Server

Model Context Protocol (MCP) server for connecting Claude with the Intervals.icu API. It provides tools for authentication and data retrieval for activities, events, and wellness data.

Requirements

  • Python 3.10 or higher
  • Model Context Protocol (MCP) Python SDK
  • httpx
  • python-dotenv

Setup

1. Install uv (recommended)

curl -LsSf https://astral.sh/uv/install.sh | sh

2. Clone this repository

git clone https://github.com/mvilanova/intervals-mcp-server.git
cd intervals-mcp-server

3. Create and activate a virtual environment

# Create virtual environment with Python 3.12
uv venv --python 3.12

# Activate virtual environment
# On macOS/Linux:
source .venv`/bin/activate`
# On Windows:
.venv\Scripts\activate

4. Sync project dependencies

uv sync

5. Set up environment variables

Make a copy of .env.example and name it .env by running the following command:

cp .env.example .env

Then edit the .env file and set your Intervals.icu athlete id and API key:

API_KEY=your_intervals_api_key_here
ATHLETE_ID=your_athlete_id_here

Getting your Intervals.icu API Key

  1. Log in to your Intervals.icu account
  2. Go to Settings > API
  3. Generate a new API key

Finding your Athlete ID

Your athlete ID is typically visible in the URL when you're logged into Intervals.icu. It looks like:

  • https://intervals.icu/athlete/i12345/... where i12345 is your athlete ID

Usage

1. Configure Claude Desktop

To use this server with Claude Desktop, you need to add it to your Claude Desktop configuration.

  1. Run the following from the intervals_mcp_server directory to configure Claude Desktop:
mcp install src/intervals_mcp_server/server.py --name "Intervals.icu" --with-editable . --env-file .env
  1. If you open your Claude Desktop App configuration file claude_desktop_config.json, it should look like this:
{
  "mcpServers": {
    "Intervals.icu": {
      ```json
      "command": "`/Users/<USERNAME>/.cargo`/bin/uv"``
      ```,
      "args": [
        "run",
        "--with",
        "mcp[cli]",
        "--with-editable",
        "/path/to/intervals-mcp-server",
        "mcp",
        "run",
        "/path/to/intervals-mcp-server/src/intervals_mcp_server/server.py"
      ],
      "env": {
        "INTERVALS_API_BASE_URL": "https://intervals.icu/api/v1",
        "ATHLETE_ID": "<YOUR_ATHLETE_ID>",
        "API_KEY": "<YOUR_API_KEY>",
        "LOG_LEVEL": "INFO"
      }
    }
  }
}

Where /path/to/ is the path to the intervals-mcp-server code folder in your system.

If you observe the following error messages when you open Claude Desktop, include the full path to uv in the command key in the claude_desktop_config.json configuration file. You can get the full path by running which uv in the terminal.

2025-04-28T10:21:11.462Z [info] [Intervals.icu MCP Server] Initializing server...
2025-04-28T10:21:11.477Z [error] [Intervals.icu MCP Server] spawn uv ENOENT
2025-04-28T10:21:11.477Z [error] [Intervals.icu MCP Server] spawn uv ENOENT
2025-04-28T10:21:11.481Z [info] [Intervals.icu MCP Server] Server transport closed
2025-04-28T10:21:11.481Z [info] [Intervals.icu MCP Server] Client transport closed
  1. Restart Claude Desktop.

2. Use the MCP server with Claude

Once the server is running and Claude Desktop is configured, you can use the following tools to ask questions about your past and future activities, events, and wellness data.

  • get_activities: Retrieve a list of activities
  • get_activity_details: Get detailed information for a specific activity
  • get_activity_intervals: Get detailed interval data for a specific activity
  • get_wellness_data: Fetch wellness data
  • get_events: Retrieve upcoming events (workouts, races, etc.)
  • get_event_by_id: Get detailed information for a specific event

Development and testing

Install development dependencies and run the test suite with:

uv sync --all-extras
pytest -v tests

Running the server locally

To start the server manually (useful when developing or testing), run:

mcp run src/intervals_mcp_server/server.py

License

The GNU General Public License v3.0

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Frequently Asked Questions

What is MCP?

MCP (Model Context Protocol) is an open protocol that standardizes how applications provide context to LLMs. Think of MCP like a USB-C port for AI applications, providing a standardized way to connect AI models to different data sources and tools.

What are MCP Servers?

MCP Servers are lightweight programs that expose specific capabilities through the standardized Model Context Protocol. They act as bridges between LLMs like Claude and various data sources or services, allowing secure access to files, databases, APIs, and other resources.

How do MCP Servers work?

MCP Servers follow a client-server architecture where a host application (like Claude Desktop) connects to multiple servers. Each server provides specific functionality through standardized endpoints and protocols, enabling Claude to access data and perform actions through the standardized protocol.

Are MCP Servers secure?

Yes, MCP Servers are designed with security in mind. They run locally with explicit configuration and permissions, require user approval for actions, and include built-in security features to prevent unauthorized access and ensure data privacy.

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