Your Human OS: One Interface for All Your Tools

The Context switching tax is toggling between apps 1'200 times per day. That’s four hours a week — or five weeks a year — wasted just flipping between apps and tabs. This doesn't take into consideration the amount of time to regain focus for each context switch.

Modern professionals are overwhelmed by a multitude of tabs, apps, notifications, emails, messages, and more. Take a moment and count how many tabs and apps you currently have open while reading this. I currently have 27 tabs and 12 apps open while writing this blog post.

What if instead of dozens of apps and tabs pulling at you, you had a single interface to every app you own and use? That’s what I call a Human OS.

I'm currently developing my own Human OS. What is a Human OS, you ask?

Definition: Human OS

A Human Operating System is a unified digital layer (a single interface) that reduces context switching by connecting all your tools, data, and workflows into a single user interface. Instead of adapting to dozens of fragmented apps, your Human OS adapts to you.

In practice, the Human OS:

1. Centralizes context – Keeps all your work (projects, data, messages) accessible from one conversational or visual interface in my case Claude Desktop.
2. Automates orchestration – Uses AI to coordinate actions across multiple apps without manual switching (app orchestration is the massive unlock).
3. Personalizes execution – Learns your patterns, preferences, and priorities so it works the way you think.
4. Frees attention – Minimizes the constant mental reset that comes with app-hopping, notifications, and tool fragmentation.

Key Difference From Just Another Productivity Tool

• Not just another “all-in-one” app.
• Is an adaptive layer across everything you already use.
• Built on interoperability (MCP, APIs) and powered by AI to provide continuity.
• Plug in the apps you use via MCP servers, customized to your workflows.

Why Current Productivity Stacks Fail

We’ve tried the single SaaS that does everything. Spoiler: it never does. Instead, we cobble together a Frankenstein tech stack, stitched from half-solutions and the false hope of more productivity.

The core problem isn’t a lack of tools...it’s interoperability. No single app can be the “top tool.” What usually ends up dominating? Email and chat. Not because they’re productive, but because they’re loud...constant pings, endless notifications.

That’s not a strategy. That’s chaos.

Enter AI + MCP Servers

We all know (and some secretly fear) AI by now. But on its own, AI is only half the story. To unlock its full potential, you need MCP servers...the middleware that connects everything through a standard interface.

Picture this: you prompt your AI with, “Pull the latest sales numbers, draft an email to my manager with the sales data, and schedule a follow-up meeting.”

• AI is the brain: it interprets your request, plans the steps, and decides which tools to use.
• MCP is the spine: it integrates with your CRM for sales data, your email client for message drafting, and your calendar for scheduling meetings.

The result? One instruction/prompt, all the moving parts handled. Your Human OS abstracts away the mess so you can focus on the actual work.

No tab-flipping. No context loss.

Practical Use Case: The Power of Dual MCP Integration

As you may know, I am an avid mountain biker, but more importantly, I enjoy reviewing and obsessing over the data from my rides. I want to share my personal MCP use case, which involves using Strava and Garmin.

Most people think of MCP servers as “connectors,” but the real magic happens when you run more than one at a time. Take Strava + Garmin as an example. Each app has its strengths:

• Garmin: physiological data — sleep quality, HRV, stress, recovery.
• Strava: performance and social — segment times, competition, routes, kudos.

On their own, both are useful. Combined through MCP, they become exponentially more powerful.

Let's take a look at how combining MCPs unlocks a new level of productivity.

1. Recovery vs Performance Correlation

• Garmin shows: Body Battery at 88%.
• Strava shows: You set a PR on the local Strava Challenge.
• Combined: If your Body Battery is 80%+, you’re 3x more likely to hit a PR.
  Insight is only possible through both MCPs.

2. Hidden Training Patterns

• Garmin logs a stress spike at 15:00.
• Strava shows you were on a brutal 14.4% grade.
• Together, you learn that steep climbs consistently trigger disproportionate stress responses. Now you can train specifically for that weakness.

3. Sleep Impact on Segments

Garmin says you got only 10% REM. Strava shows your time dropped by 12%.

Flip it around: nights with 20%+ REM correlate with 15% faster technical segments.

Sleep quality → segment performance linkage = actionable recovery strategy.

4. Real-World Advantage

Instead of staring at disjointed dashboards, you could ask your Human OS:

“Am I ready for a PR attempt today?”

The AI brain interprets your intent, MCP spine fetches from both Garmin and Strava, and you get a single, contextual answer:

“Skip it. Your Body Battery is 60% and Strava shows a headwind. Tomorrow at 16:00 gives you an 85% chance for a PR.”

The Big Picture

This isn’t about just connecting apps. It’s about creating a layer of intelligence across all your tools.

Garmin gives you the inside view, Strava gives you the outside competition, and together they transform into predictive, personalized coaching...something only multiple MCP integrations can deliver.

That reframes your Human OS as not just a convenience tool, but a performance edge — in work, fitness, and life.

💰 ROI of Dual MCP Integration

Time Saved

• Without: Guessing readiness, random performance
• With Both: 15 minutes daily review = optimal training
• Result: 25% better performance, 50% less injury risk

Performance Gains

How I Run Strava MCP + Garmin MCP in Claude Desktop

I integrated the Garmin MCP and Strava MCP into Claude Desktop. You will need to follow the instructions for both MCP servers to install them locally on the computer running Claude Desktop.

Prereqs

• Node installed for the Strava MCP server
• Python 3.12 is available for the Garmin MCP via uvx
• Strava API credentials and Garmin credentials

Steps

1. Open Claude Desktop → Settings → Developer → Edit Config.
2. Add the JSON below. Update paths, emails, and passwords.
3. Restart Claude Desktop.

Once the editor for Claude is Open, add the following JSON config to enable both MCP servers for Claude. Restart Claude once you are done.

⚠️ Security notes

• Do not hardcode secrets in shared configs. Use environment variables or a secrets manager when possible.
• Rotate credentials if you ever commit this file by accident.
• If you are on Windows or Linux, adjust the uvx path accordingly.

{
  "mcpServers": {
    "strava-mcp-local": {
      "command": "node",
      "args": [
         "/absolute/path/to/your/strava-mcp/dist/server.js"
      ]
    },
    "garmin": {
      "command": "/Library/Frameworks/Python.framework/Versions/3.11/bin/uvx",
      "args": [
        "--python", "3.12",
        "--from", "git+https://github.com/Taxuspt/garmin_mcp",
        "garmin-mcp"
      ],
      "env": {
        "GARMIN_EMAIL": "YOUR_GARMIN_EMAIL",
        "GARMIN_PASSWORD": "YOUR_GARMIN_PASSWORD"
      }
    }
  }
}

Wrapping It Up: From Bike Trails to Boardrooms

The Human OS isn’t just about shaving seconds off Strava segments. The same logic that makes Garmin + Strava transformative for athletes applies to how professionals work every day. When multiple MCP servers combine, your stack goes from “collection of tools” to an intelligent operating system.

Business Workflow Example: CRM + Calendar + Slack

Imagine you’re leading a sales team. Normally, preparing for a client meeting means juggling three windows:

• CRM: find the latest notes and revenue figures
• Calendar: schedule prep sessions and the actual meeting
• Slack: coordinate with your account manager

With a Human OS:

• You prompt: “Prep me for tomorrow’s meeting with the new client.”
• AI (brain) parses the intent and figures out what you need.
• MCP (spine) fetches the CRM deal history, checks your calendar availability, and pulls the latest Slack thread with your team.
• Output: a concise briefing, proposed agenda, and calendar invite—all in one place.

The result is the same as the Strava cycling example: less time chasing tabs, more time in flow.