An astronaut overseeing a futuristic data hub
Download PDFMarkdown Version

Connect Strava Training to ChatGPT, Claude and Gemini

Set it up once and it works in ChatGPT, Claude, Cursor, and any other client you love. It all runs safely in the background, so you can relax and focus on what really matters. Turn your raw activity streams into actionable training insights.

Ask AI about this Connector

Developed, maintained, and hosted by Vinkius.

MCP VERIFIED · PRODUCTION READY · VINKIUS GUARANTEED

Waiting for input…

Works with modern AI clients that support MCP, including ChatGPT, Claude, Cursor, and more.

ChatGPTClaudeCursorPerplexityGeminiMicrosoft CopilotRaycastMeta AI

Your AI does the work. We keep it safe and sound.

No other AI tool gives you this. Your workflow runs in the client you already love, your account stays protected, and you decide what the agent can and cannot do. It is the whole reason to make the switch.

Each Connector lives inside our infrastructure, the same place where your workflow runs. The three things below are already part of it, working quietly in the background so you never have to think about them. Nothing to add, nothing to set up, nothing to worry about.

A futuristic MCP client docking bay
V8 Isolate01

Each Connector runs inside its own sealed environment.

Each Connector runs inside its own sealed V8 runtime — no access to your files, your system, or other servers. A Connector never sees past its own request.

Kill Switch02

One switch stops every agent. Instantly.

One action deactivates every Connector, revokes every token, and ends every session at once. AI Governance keeps the record.

FinOps per User03

Spending limits that pause instead of surprise.

Every user keeps their own connections and credentials, isolated from everyone else. Anything that would cross your spending limit is held for your approval, not billed.

Three controls, built into the layer your AI connects through.

Curated set · 12 capabilities

We ship only the actions that matter.

Capability set01 / 03

01-04

4 capabilities in this set.

Part of 12 available through Strava Training.

  1. 01

    List segment efforts

    This capability retrieves all efforts an athlete has made on a specific segment. You can filter by date to track how your PRs are evolving over time.

  2. 02

    Get activity laps

    Use this to pull split data from a single activity. It provides distance, moving time, and pace for each lap to help you analyze pacing consistency.

  3. 03

    Get activity streams

    This capability provides raw time-series data for an activity. You can request specific streams like heart rate, power, cadence, or GPS data for granular analysis.

  4. 04

    Get athlete stats

    Get a high-level overview of an athlete's performance. It returns totals for recent and all-time runs and rides.

Capability set02 / 03

05-08

4 capabilities in this set.

Part of 12 available through Strava Training.

  1. 05

    Get athlete zones

    This capability accesses the authenticated athlete's custom heart rate and power zones for intensity analysis.

  2. 06

    Get gear

    Retrieve specific details about equipment like bikes or shoes. It's useful for tracking mileage and maintenance schedules.

  3. 07

    Get segment effort

    Get the specific metrics for a single segment attempt. It includes elapsed time, average speed, and heart rate for that specific effort.

  4. 08

    Get segment effort streams

    This capability provides time-series data specifically for a segment effort. You can pull altitude, grade, or power data for just that portion of a ride or run.

Capability set03 / 03

09-12

4 capabilities in this set.

Part of 12 available through Strava Training.

  1. 09

    Get activity

    Access the full details of a specific Strava activity. This is the primary way to get comprehensive workout data.

  2. 10

    Get activity zones

    This capability pulls the heart rate and power zone distribution for a specific activity to check training intensity.

  3. 11

    Get segment

    Get the characteristics of a Strava segment. It provides distance, elevation, and grade information.

  4. 12

    Get segment streams

    Use this to see the elevation and grade profiles of a segment. It helps you understand the difficulty of a climb before you attempt it.

Real work

What teams actually run

01

Training Load Review

Ask your agent to check if your recent rides have stayed within your target power zones.

02

Segment PR Hunting

Have the AI analyze your past efforts on a specific segment to see where you lost time.

03

Gear Maintenance

Ask how many miles are on your current running shoes to decide when to replace them.

04

Pacing Strategy

Use lap split data to determine if you are starting your runs too fast.

Automate a task

Put Strava Training to work on one thing.

Step-by-step automations your AI runs through this Connector: the workflow, the prompts to start with, and the exact capabilities behind each move.

One connector, every AI

Strava Training works with the most popular AI clients.

These are the most popular clients, each with a step-by-step guide: one link, set up once, with governance and visibility built in. And because everything runs on the MCP standard, the same connection also works in any other compatible client — nothing to rebuild.

ClaudeClaudeChatGPTChatGPTGeminiGeminiPerplexityPerplexityGrokGrokMicrosoft CopilotMicrosoft CopilotCursorCursorVS CodeVS CodeWindsurfWindsurfJetBrainsJetBrainsClineClineLangChainLangChainVercel AI SDKVercel AI SDKLovableLovableZ.aiZ.aiRaycastRaycastQwen CodeQwen CodeKimi CodeKimi CodeLe ChatLe Chat

Building your own app? The connector is yours to use.

You don't need a client to put Strava Training to work: the same hosted connection plugs into your own applications and agent code, with the same governance on every request. Build with it, chat with it — one connection for both.

Observed, not estimated

1013ms average. Fast in production.

Strava Training is checked daily against the live service.

Daily averagePeak 1257ms
Oct 3Today
Fastest day
843ms
Slowest day
1257ms
14-day trend
Slowing+13%

Connect your client

One URL. Every client.

Activate the Connector, copy your link, and paste it into the client you already use. 12 capabilities arrive ready to run.

Preview access · not provider authentication

The vk_preview_* token belongs to Vinkius preview infrastructure. It lets Claude discover and display the capabilities of Strava Training, so you can see the experience inside your AI.

It does not authenticate your account with Strava Training. Actions requiring credentials or live account data may not run until you activate the Connector and authorize the service.

Strava Training Connector

You're all set. Choose your MCP client and follow the setup instructions.

Connector linkhttps://edge.vinkius.com/vk_preview_P9r4wKslJ3RfAwXBvnfpZrjEe6iWIV7E0EYsAMRG/mcp

Claude Desktop

Follow the steps below to connect in seconds.

  1. 1In Claude Desktop, open Settings → Connectors.
  2. 2Click “Add custom connector” and paste the connector link above as the remote MCP server URL.
  3. 3Click Add and start a new chat — Strava Training capabilities are ready to use.
Configuration · claude_desktop_config.jsonCopy
{
  "mcpServers": {
    "strava-training-mcp": {
      "url": "https://edge.vinkius.com/vk_preview_P9r4wKslJ3RfAwXBvnfpZrjEe6iWIV7E0EYsAMRG/mcp"
    }
  }
}
  • Claude
  • ChatGPT
  • Cursor
  • VS Code
  • Windsurf
  • Claude Code
  • JetBrains
  • Cline

Step-by-step instructions for each client are in the guide. How to connect

Guided setup for Claude? Set up Strava Training in Claude and other AIs

See all the AI clients this connector works with ↑

Who it's for

Built for the work Strava Training owners hand off.

This MCP is built for anyone who uses Strava to track serious endurance training.

  • 01

    Endurance Athletes

    Use the AI to monitor training volume and optimize zone distribution.

  • 02

    Coaches

    Hand off data analysis to the AI to review athlete streams and segment efforts.

  • 03

    Cyclists

    Use the agent to manage power data and track gear mileage.

FAQ

Questions Strava Training owners ask.

  • 01

    How do I connect my Strava data?

    You subscribe to the MCP on Vinkius and enter your Strava OAuth2 Access Token. Once connected, your AI client can immediately access your data.

  • 02

    Which AI clients can I use with this MCP?

    You can use any MCP-compatible client, including Claude, Cursor, and Windsurf.

  • 03

    Can I analyze my power and heart rate data?

    Yes, the MCP provides access to activity streams and zone distributions for both heart rate and power.

  • 04

    Does this work for both runners and cyclists?

    Yes, it provides specific metrics for both running and cycling, including gear tracking and segment efforts.

  • 05

    Can I track my segment PRs?

    Yes, you can use the segment effort capabilities to find, compare, and analyze your personal records on any segment.

  • 06

    What data streams are available for activities?

    Available streams include: time, distance, latlng (GPS coordinates), altitude, velocity_smooth (speed), heartrate, cadence, watts (power), temp (temperature), moving (moving flag), and grade_smooth (incline %). Request specific streams with comma-separated types, e.g., "heartrate,watts,velocity_smooth". Not all streams are available for every activity. it depends on the recording device.

  • 07

    What are activity zones and how are they calculated?

    Activity zones show the time spent in each heart rate zone (Z1-Z5) or power zone during an activity. Zones are based on the athlete's personal zone configuration (set in Strava settings). Zone analysis reveals training intensity. whether a workout was aerobic (Z1-Z2), threshold (Z3), or anaerobic (Z4-Z5). This data requires a heart rate monitor or power meter.

  • 08

    How do I find my athlete ID on Strava?

    Your athlete ID is the numeric portion of your Strava profile URL. For example, from https://www.strava.com/athletes/12345678, your athlete ID is 12345678. You can also get it from the get_athlete capability in the Strava Planning or Strava Social MCP servers.

Explore

More in Data Analytics

Suggestions

Connect Strava Training to Claude, Cursor, ChatGPT & more