Strava Training MCP

Name: Strava Training MCP
Author: ArjanLig

by ArjanLigversion 0.3.2i★ –iRuns on your computer

Registry nameio.github.ArjanLig/strava-mcp

Install

Overview

Description from the maker (original English)

Connect Strava training data to Claude for training load analysis and activity insights

PopNx MCP’s three pillars

These three are never merged into one score: opinions, measurements and popularity are different things.

User voiceiNo reviews yetReviews open together with accounts in a later step
Our basic checksi1 of 1 passedChecked from public information; code not scanned yet
UsageiNot measured yet★ –

What you can do with it

We have not written a plain-language summary for this one yet. Below are the facts we read from the registry.

Connection: Runs on your computer
Transport: stdio
Category: Other

Install

Pick the AI app you use, then copy the settings.

Before you install

Basic checks: 1 of 1 passed
Runs on your computer with your user’s permissions (files, network, apps).
The registry lists no key to fill in.

You need

PyPIPython’s uv installed (for the uvx command)

Which app do you use?

ClaudeClaude CodeCursorVS CodeChatGPT

Pick your app above. We remember it, so next time the button says “Install in …”.

Open Claude Desktop → Settings → Developer → Edit Config, and paste this into claude_desktop_config.json

{
  "mcpServers": {
    "strava": {
      "command": "uvx",
      "args": [
        "strava-training-mcp"
      ]
    }
  }
}

Run this in your terminal

claude mcp add strava -- uvx strava-training-mcp

Open in Cursor

Or copy the settings yourself

Paste into .cursor/mcp.json in your project, or ~/.cursor/mcp.json

{
  "mcpServers": {
    "strava": {
      "command": "uvx",
      "args": [
        "strava-training-mcp"
      ]
    }
  }
}

Your browser asks to open the app, then the app shows the settings and asks you to confirm. Key values are left empty for you to fill in.

Open in VS Code

Or copy the settings yourself

Paste into .vscode/mcp.json in your project

{
  "servers": {
    "strava": {
      "type": "stdio",
      "command": "uvx",
      "args": [
        "strava-training-mcp"
      ]
    }
  }
}

Your browser asks to open the app, then the app shows the settings and asks you to confirm. Key values are left empty for you to fill in.

This one runs on your computer, and ChatGPT can only connect to servers on the internet. Pick another app.

Your choice stays on this device in a cookie; no account needed.

These settings are generated from the maker’s registry entry. If the README says otherwise, follow the README.

What it can do

Runs on your computer; the tool list appears in your AI app after you install it.

Basic checksi

We check information anyone can see; we have not read the code. Checks that do not apply are left out of the count. · Checked Nov 8, 2026

✓ Pass
Maker matches the repo
The registry name was verified with the GitHub account ArjanLig, which owns the repo
… Not checked yet
Still maintained
We have not read this repo from GitHub yet
… Not checked yet
Has a licence
We have not read this repo from GitHub yet
– Not applicable
Endpoint responds
This one runs on your computer; there is no internet endpoint
– Not applicable
Sign-in with OAuth
Runs on your computer and uses local settings instead
… Not checked yet
No hidden instructions in tool descriptions
Runs on your computer; we can only read tool lists from internet endpoints

Compared with others in Otheri

More stars than 0% of the other 18431 servers in this category
Published to the registry more recently than 4% of the other 18431 servers in this category
Basic checks equal to or better than 100% of the other 18431 servers in this category

Compared with every active server in this category in the registry. Stars count only when the publisher owns the repo.

Common questions

Is Strava Training MCP safe?

It passed 1 of 1 applicable basic checks. We have not read the code. Before adding a key or token, see what access the server asks for and use a key with only the permissions you need.

What keys or codes does it need?

The registry does not list a required key, though some servers ask you to sign in on first use.

Does it run on my computer or in the cloud?

It runs on your computer. Your AI app starts it when needed, and data does not pass through the maker’s servers (unless it calls an online service itself).

Is it still maintained?

The GitHub repo last changed –, and the latest version (0.3.2) reached the registry 8 months ago.

Which apps can use it?

Apps that support MCP, such as Claude Desktop, Claude Code, Cursor and VS Code. You also need Python (uv) on your computer.

What can I use instead?

In the same category: Spec Driven Development, Remote Desktop Commander, Filesystem MCP

Alternatives

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Reading a card:★ GitHub starsiThree pillars: reviews · checks · usageiUpdated = latest version published to the registryi

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README from the maker

Open the README

Copied from the maker’s repo as written. PopNx MCP has not reviewed or endorsed it. HTML, images and scripts are removed. Links lead off this site.

Strava MCP Server

Connect your Strava training data to Claude. This MCP server turns Claude into your personal training coach — analyzing your training load, planning workouts, and tracking your progress. Works with cycling, running, and any sport you track on Strava.

Install

Works with Claude Desktop and claude.ai on any plan. Free plans can add 1 custom connector (remove any existing connector first), Pro and Max are unlimited.

1. Create a Strava API app

This takes about 2 minutes. You need a free Strava API app so Claude can access your data.

Go to strava.com/settings/api
Fill in the form — Application Name, Category, and Description can be anything (e.g. "My Claude connector")
Set Authorization Callback Domain to strava-mcp-web.vercel.app
Click Create and note your Client ID and Client Secret

2. Add the connector

Open Claude Desktop or claude.ai
Go to Settings → Connectors → Add custom connector
Paste this URL and save:

https://strava-mcp-web.vercel.app/mcp

3. Connect

Click Connect on the newly added connector. This opens a page where you enter your Strava Client ID and Client Secret, then authorize with Strava.

That's it! Ask Claude about your training.

Tools

The server exposes 10 tools:

Tool	Description
`get_recent_activities`	Your last activities with distance, duration, and heart rate
`get_activity_details`	Deep dive into a specific activity — power, HR, speed, suffer score
`get_training_load_analysis`	ATL, CTL, TSB with training advice and 8-week trends
`get_weekly_stats`	Weekly volume — activities, kilometers, hours
`get_weekly_training_plan`	Weekly plan based on current fitness and fatigue
`get_gear_maintenance`	Bike/shoe km totals with chain, cassette, tire warnings
`get_power_curve`	Best power outputs (5s–60min), FTP estimate, monthly comparison
`get_hr_zone_distribution`	Time in each HR zone with polarized training advice
`get_hr_drift_analysis`	Cardiac drift in steady rides — aerobic efficiency indicator
`check_workout_quality`	Interval consistency, power decoupling, recovery scoring

Example conversations

"I want to ride tonight, what should I do?"

"How is my training load looking?"

"Check the quality of my last interval workout"

"When do I need to replace my chain?"

"What's my FTP and how does it compare to last month?"

"Am I spending enough time in zone 2?"

"I'm training for a 150km race in April — am I on track?"

How it works

Claude pulls your Strava data in real-time and reasons about it in context — your recent rides, fitness trend, fatigue level, and goals.

Training load analysis uses the standard PMC model:

ATL (7-day) — how tired you are now
CTL (42-day) — your fitness level
TSB — CTL minus ATL. Positive = fresh, negative = fatigued
Ramp rate — week-over-week load change, with injury risk warnings

Gear maintenance tracks km on each bike and shoe, warning when chain (3000km), cassette (6000km), tires (5000km), or cables (8000km) need attention.

Power curve finds your best efforts across durations and estimates FTP at 95% of your 20-minute power.

HR analysis covers zone distribution (are you polarizing enough?) and cardiac drift (is your aerobic base improving?).

Limitations

Training load uses suffer score / HR — it underestimates fatigue from strength training or activities where HR stays low
Power features require a power meter or smart trainer
The weekly plan is a heuristic, not a replacement for a certified coach

Troubleshooting

Connector not working? Remove and re-add the connector in Settings → Connectors.

Authentication error? Check that your Strava API app has strava-mcp-web.vercel.app as the callback domain.

Website

strava-mcp-web.vercel.app

Built with

Model Context Protocol (MCP) — Anthropic's open standard for connecting AI to external tools
Strava API v3 — Access to athlete activities and metrics

License

MIT

Strava Training MCP

Overview

PopNx MCP’s three pillars

What you can do with it

Install

Before you install

What it can do

Basic checksi

Maker matches the repo

Still maintained

Has a licence

Endpoint responds

Sign-in with OAuth

No hidden instructions in tool descriptions

Compared with others in Otheri

Common questions

Alternatives

Spec Driven Development

Remote Desktop Commander

Filesystem MCP

README from the maker

Strava MCP Server

Install

1. Create a Strava API app

2. Add the connector

3. Connect

Tools

Example conversations

How it works

Limitations

Troubleshooting

Website

Built with

License