How to Connect Garmin and Strava to Claude or ChatGPT

Pedro Araújo — Mon, 11 May 2026 14:22:54 +0000

Garmin Connect+ and Strava AI have the right idea, but the Results
are embarrassing

Connecting your Garmin or Strava data to Claude or ChatGPT gives you much better answers and allows you to use much more powerful models.

Here's how to do it easily.

How to Set It Up

Go to stats.training and subscribe.
Log in with Garmin or Strava.
Copy your personal MCP URL and paste it into Claude or ChatGPT connector settings.

That's it. Now you can call Garmin or Strava tools directly from your favorite AI dashboard.

What Your AI Can Actually See

The connector exposes 25 tools across the same categories you'd normally browse inside Garmin Connect.

Activities

Splits, pace, heart rate, power, individual lap details

Sleep

Sleep stages, sleep score, restless moments, SpO₂, overnight respiration

Recovery

HRV trends, Body Battery, resting heart rate, daily stress

Training Load

Training status, training readiness, morning readiness, hill score

Performance

VO₂ max, fitness age, race predictions from 5K through marathon

Weekly Aggregates

Steps, intensity minutes, stress totals

For Strava users, you also get activity feeds, athlete stats, training zones, and stream data (heart rate, pace, cadence per second).

The Interesting Use Cases

The novelty wears off quickly if you only ask: "Show me my last run."

Where this becomes useful is in the kinds of questions Garmin's UI doesn't answer well.

Compare Long-Run Trends

"Compare my last four long runs: pace, average HR, and HR drift across each one."

Garmin only shows one activity at a time. Claude can line up all four runs and tell you whether cardiac drift is shrinking, a strong sign your aerobic fitness is improving.

Spot Recovery Issues Early

"What's the trend in my resting heart rate over the last 30 days? Anything unusual?"

A creeping resting heart rate often signals under-recovery before you actually feel it.

Explain HRV Changes

"My HRV tanked last night. What did I do yesterday that might explain it?"

Claude can cross-reference sleep, training load, stress, and the previous day's workout. Usually the answer is something simple: poor sleep, a late workout, accumulated fatigue. But it's faster than digging through five separate screens.

Sanity-Check Race Predictions

"Based on my last 8 weeks, what 10K time should I realistically target?"

Garmin gives you a race predictor number. Claude can compare it against your actual workout paces and tell you whether the prediction looks realistic or overly optimistic.

Generate Recovery Weeks

"Build me a recovery-week plan based on this week's training load."

This is where conversational AI beats dashboards. You can refine the plan interactively instead of accepting a static template.

Evaluate Ramp Rate

"Look at the last 4 weeks. Am I ramping volume too aggressively relative to my readiness scores?"

The "10% rule" is just a heuristic. Looking at your actual load and recovery trends is far more useful.

Build Race Plans Dynamically

"I have a half marathon in 6 weeks. Given my current fitness and weekly pattern, write me a build-and-taper plan."

You probably won't follow it perfectly, but it's a much better starting point than a generic training plan from a magazine.

Find Hidden Correlations

"Do I sleep worse after interval sessions? Check the last two months."

This is the kind of correlation question dashboards rarely answer well. Sometimes the fix is as simple as moving hard workouts earlier in the day.

What About Privacy?

Nothing about your training data lives permanently on stats.training's servers. When Claude or ChatGPT needs data:

It sends a tool request.
The bridge fetches the data from Garmin or Strava.
The result gets returned directly.

The conversation itself never passes through the bridge, only the requested data.

When you're done, revoke access from Garmin Connect or strava.com/settings/apps. The connection immediately stops working.

The Real Point

Dashboards tell you things. Chat interfaces let you ask things, including the half-formed questions you'd normally ask a coach after a workout.

Garmin and Strava already hold the data. Claude and ChatGPT are already good at reasoning about it. The missing piece was simply a bridge between them.

The most valuable queries are usually:

Trend comparisons across weeks
Recovery analysis
Planning decisions that depend on recent context
Correlation questions between sleep, stress, and training

Start there.

Try it: stats.training

DEV Community: Pedro Araújo