Description

Peloton app in ChatGPT lets you discover classes, explore instructors, and build personalized training plans in seconds. Ask for curated workouts across cycling, strength, yoga, running, meditation, and more—filtered by time, difficulty, and goals. Browse as a guest or connect your Peloton account to save classes and full training plans directly to your schedule. Built for every level, from first-time movers to goal-driven training.

About This App

Discover Peloton’s fitness equipment and personalized workout plans. From cardio to strength, find an exercise program that keeps you motivated and on track.

Last updated: April 20, 2026

Website Preview

Screenshot of Peloton website

App Screenshots

Peloton screenshot

Capabilities

Can Modify Data
Works in Conversation

Publisher Intelligence

Insights and recommendations for app publishers. See how your app performs and how to improve discoverability.

Server Status peloton-mcp v1.0.0

4
Tools
8
Resources
0
Prompts
https://mcp.onepeloton.com

Last checked: 3d ago

Technical Details
Connection Latency 564ms
30-Day Uptime 100.0%

Tools(4)

Showing 4 of 4 tools

Sorted by toolName
ToolDescriptionFlagsTestLast Tested
create-training-plan
Create interactive weekly training plan (max 14 days) with drag-and-drop class cards and rest days. Shows calendar with day labels, class details, and "Add to calendar" button. MUST call search first to get class indices. Use index from search results for workout days. For rest days: set isRestDay=true, omit index. Each day needs ISO date (YYYY-MM-DD). Invalid indices become rest days. Never construct or guess index numbers.—
100%Latency 984ms
Mar 26, 2026
fetch
Get detailed view of a specific Peloton class by index. Shows hero image, instructor, description, equipment, ratings, and link to Peloton. Requires class index from search results. Use search first if you don't have an index.—
100%Latency 846ms
Mar 26, 2026
schedule
Add classes to user's Peloton calendar. Requires authentication. Shows confirmation widget with link to https://members.onepeloton.com/yourschedule where users can view their scheduled classes. Input: Array of {index: class index from search, startTime: ISO 8601 datetime}. Processes multiple classes in parallel. Returns success/failure for each. Use create-training-plan first if user wants to visualize/plan before scheduling.—
100%Latency 471ms
Mar 26, 2026
search
Search 60,000+ Peloton classes using natural language. Returns interactive carousel with class cards. Supports single queries ("30 min yoga with Emma") or multiple comma-separated queries ("marathon, meditation, recovery yoga", max 3). Advanced features: instructor matching (45+ instructors), music artist search (200+ artists like "Green Day", "Beyoncé"), difficulty filtering (beginner/intermediate/advanced or 1-10), duration matching (exact minutes), discipline filtering (cycling, strength, yoga, running, walking), year filtering ("2025 running", "2024 yoga"). Searches all disciplines when none specified. Only returns English-language classes. IMPORTANT - Seasonal/Holiday Queries: When users search for seasonal terms (fall, spring, summer, winter) or holidays (Halloween, Christmas, Thanksgiving, New Year, Valentine's Day), convert them to specific years in your query. Examples: "fall cycling" → "2024 cycling", "halloween yoga" → "2024 yoga", "christmas rides" → "2024 cycling". Use current year or previous year based on context. Each result includes an "index" field (0-60000) - use this index with fetch and create-training-plan tools. Never use slugs or construct index numbers. After search, recommend create-training-plan to organize classes into a weekly schedule.—
100%Latency 1.7s
Mar 26, 2026

Keywords

Trigger Keywords (@mentions)

@peloton peloton

Discoverability Score

65

Fair

65 of 100 — how easily AI agents find your app

  • Description quality
    20/20
  • Example prompts
    0/20
  • Keyword coverage
    4/15
  • Tool metadata
    16/20
  • Visual assets
    13/20
  • Endpoint health
    10/10
  • Data freshness
    15/15

How to Improve

Add at least 2 example prompts. Prompt examples strongly improve app matching and click-through intent.

Increase keyword coverage (discovery + trigger) to improve retrieval for long-tail queries.

Add at least 2 screenshots that show real workflows to increase confidence and conversion.

Read the full discoverability guide →

Technical Details

Status
ENABLED
Type
AI-Powered App
Auth
Open Access, Requires Login
Listed on
ChatGPT
Added
December 9, 2025
Last synced
3d ago
Last checked
3d ago
Version
1.0.0
Distribution
Ecosystem Directory

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