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Connect Progressive Overload Planner to ChatGPT and Claude

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. Build scientifically backed training programs in seconds.

Ask AI about this Connector

Developed, maintained, and hosted by Vinkius.

MCP VERIFIED · PRODUCTION READY · VINKIUS GUARANTEED

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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 · 4 capabilities

We ship only the actions that matter.

Capability set01 / 01

01-04

4 capabilities in this set.

Part of 4 available through Progressive Overload Planner.

  1. 01

    Calculate deload schedule

    This capability determines when you should pull back on intensity and volume to allow for proper recovery.

  2. 02

    Evaluate progression feasibility

    Your agent uses this to check if your target strength goals are realistic given your current stats and timeframe.

  3. 03

    Get exercise constraints

    This capability provides the standard rep and set ranges for specific exercise types to keep your programming sound.

  4. 04

    Plan progression

    This capability generates complete, multi-week training schedules tailored to your specific goals and constraints.

Real work

What teams actually run

01

Building a New Program

Generate a full multi-week schedule from scratch based on a specific weight goal.

02

Managing Fatigue

Determine the exact week you should implement a deload to maintain progress.

03

Goal Setting

Check if a specific strength increase is possible within your training window.

04

Exercise Optimization

Ensure your rep and set counts align with hypertrophy or strength objectives.

One connector, every AI

Progressive Overload Planner 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 Progressive Overload Planner 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

896ms average. Fast in production.

Progressive Overload Planner is checked daily against the live service.

Daily averagePeak 1161ms
Oct 3Today
Fastest day
762ms
Slowest day
1161ms
14-day trend
Improving-15%

Connect your client

One URL. Every client.

Activate the Connector, copy your link, and paste it into the client you already use. 4 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 Progressive Overload Planner, so you can see the experience inside your AI.

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

Progressive Overload Planner Connector

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

Connector linkhttps://edge.vinkius.com/vk_preview_U4J0Gc9PrIRnbHWemV452dtP8IblZBpFeg3kxy6d/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 — Progressive Overload Planner capabilities are ready to use.
Configuration · claude_desktop_config.jsonCopy
{
  "mcpServers": {
    "progressive-overload-planner-mcp": {
      "url": "https://edge.vinkius.com/vk_preview_U4J0Gc9PrIRnbHWemV452dtP8IblZBpFeg3kxy6d/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 Progressive Overload Planner in Claude and other AIs

See all the AI clients this connector works with ↑

Who it's for

Built for the work Progressive Overload Planner owners hand off.

This is built for anyone who needs structured, math-based training logic rather than random workouts.

  • 01

    Strength Coaches

    Hand off the math of periodization to the AI to build client programs faster.

  • 02

    Serious Lifters

    Use the agent to verify if your personal training goals are physically attainable.

  • 03

    Fitness App Developers

    Integrate these logic capabilities into custom training workflows.

FAQ

Questions Progressive Overload Planner owners ask.

  • 01

    How does this MCP handle different training styles?

    It uses linear and undulating periodization models based on your experience level.

  • 02

    Can I use this to check if my strength goals are too ambitious?

    Yes, the evaluate_progression_feasibility capability checks if your goals are realistic given your current stats.

  • 03

    What AI clients can I use this with?

    You can use this with any MCP-compatible client like Claude, Cursor, or Windsurf.

  • 04

    Does it help with recovery?

    Yes, it includes a capability specifically to calculate optimal deload schedules for recovery.

  • 05

    Will it tell me how many reps to do?

    Yes, the get_exercise_constraints capability provides standard rep and set ranges for different exercises.

  • 06

    How does the planner handle different experience levels?

    The capability adjusts the rate of weight increases and deload frequency based on whether the user is a beginner, intermediate, or advanced trainee.

  • 07

    Can I use undulating periodization?

    Yes, you can specify the progressionModel as 'undulating' when calling plan_progression to get fluctuating intensity and volume.

  • 08

    What is a deload?

    A deload is a scheduled period of reduced intensity or volume to allow for recovery from accumulated fatigue.

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