This server connects Garmin Connect to Claude and other MCP-compatible clients, exposing your fitness and health data. It allows you to access your recent activities, detailed activity information, health metrics (steps, heart rate, sleep), and body composition data directly through the AI assistant.
You'll need Python and virtualenv installed on your system.
virtualenv .venv
source .venv/bin/activate
python -m pip install -r requirements.txt
.env
file in the project root with your Garmin credentials:[email protected]
GARMIN_PASSWORD=your-password
Edit your Claude Desktop configuration file:
~/Library/Application Support/Claude/claude_desktop_config.json
%APPDATA%\Claude\claude_desktop_config.json
Add this server configuration:
{
"mcpServers": {
"garmin": {
"command": "python",
"args": ["<path to>/garmin_mcp/garmin_mcp_server.py"]
}
}
}
Note: If you're using a virtual environment, replace "python"
with the absolute path to the Python executable in your environment (e.g., "<root_folder>/.venv/bin/python"
)
For testing purposes, you can use the MCP Inspector:
npx @modelcontextprotocol/inspector python /path/to/garmin_mcp/garmin_mcp_server.py
Once the server is connected to Claude, you can ask questions about your Garmin data using natural language:
If you encounter login issues:
.env
file are correctFor other issues, check the Claude Desktop logs at:
~/Library/Logs/Claude/mcp-server-garmin.log
%APPDATA%\Claude\logs\mcp-server-garmin.log
This server requires your Garmin Connect credentials in the .env
file. Keep this file secure and never commit it to a repository.
There are two ways to add an MCP server to Cursor. The most common way is to add the server globally in the ~/.cursor/mcp.json
file so that it is available in all of your projects.
If you only need the server in a single project, you can add it to the project instead by creating or adding it to the .cursor/mcp.json
file.
To add a global MCP server go to Cursor Settings > MCP and click "Add new global MCP server".
When you click that button the ~/.cursor/mcp.json
file will be opened and you can add your server like this:
{
"mcpServers": {
"cursor-rules-mcp": {
"command": "npx",
"args": [
"-y",
"cursor-rules-mcp"
]
}
}
}
To add an MCP server to a project you can create a new .cursor/mcp.json
file or add it to the existing one. This will look exactly the same as the global MCP server example above.
Once the server is installed, you might need to head back to Settings > MCP and click the refresh button.
The Cursor agent will then be able to see the available tools the added MCP server has available and will call them when it needs to.
You can also explictly ask the agent to use the tool by mentioning the tool name and describing what the function does.