GeniusFitness MCP
Click on "Deploy Server".
Wait a few minutes for the server to deploy. Once ready, it will show a "Started" state.
In the chat, type
@followed by the MCP server name and your instructions, e.g., "@GeniusFitness MCPshow my current training plan and today's workout"
That's it! The server will respond to your query, and you can continue using it as needed.
Here is a step-by-step guide with screenshots.
GeniusFitness CLI & MCP
Manage your training plans, exercises and progress with your own AI tools. GeniusFitness keeps your programs and permissions in one place; your agent uses its own model and credentials.
Install and connect
Requires Node.js 22.13 or newer.
npm install --global @pulsarinteractive/geniusfitness@beta
geniusfitness auth login
geniusfitness whoami --json
geniusfitness programs list --jsonLogin opens your browser. Sign in to GeniusFitness, select programs and permissions, then approve. There is no token to copy into your terminal.
What you can do
Feature | CLI | MCP |
Find your programs |
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Search exercises |
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Read workouts, planning or results |
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Summarize activity |
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Create or edit a plan |
| Journaled command tools |
Follow changes |
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Choose from the exercise catalogue before creating a custom exercise. Private health measurements require separate permission. Managing another athlete’s shared program also requires a Coach subscription and that athlete’s access grant.
Connect your agent
Authenticate once with the CLI, then configure your MCP client to run:
geniusfitness mcp --context defaultSetup examples · Training workflow · Permissions and limits · Agent skills
Documentation
MIT © Pulsar Interactive. This repository contains the public agent client and skills; the GeniusFitness application and service implementation are separate.
This server cannot be deployed
Maintenance
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