ClaudeChatGPTPerplexityGeminiMicrosoft CopilotRaycastMeta AIGrokZ.aiQwenKimi
DeepSeekMistralCursorVS CodeWindsurfJetBrainsClineLovableVercel AI SDKLangChain

Use Reaction Time Surf Training with your AI.

Connect your account once and let the AI you already use work with it, without building another integration. Optimize surfing reaction speeds with tailored training drills and progression schedules.

Included with plan

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

Complete set · 4 capabilities

The complete Reaction Time Surf Training capability set.

These are the exact actions your AI can choose when you ask it to work with Reaction Time Surf Training.

Capability set01 / 01

01-04

4 capabilities in this set.

Part of 4 available through Reaction Time Surf Training.

  1. 01

    Evaluate stimulus complexity

    Determines the appropriate level of stimulus difficulty for a session

  2. 02

    Generate progression schedule

    Creates a structured timeline of training sessions to reach the target improvement

  3. 03

    Predict improvement outcome

    Estimates the expected reaction time reduction after following a specific protocol

  4. 04

    Get training drills

    Recommends specific exercises based on the user's current capabilities and training goals

One connector, every AI

Reaction Time Surf 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.

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

You don't need a client to put Reaction Time Surf 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.

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 Reaction Time Surf Training, so you can see the experience inside your AI.

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

Reaction Time Surf Training Connector

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

Connector linkhttps://edge.vinkius.com/vk_preview_cmwT3XtqRknDoVmKvGM97N3x9iBw4VGzDVFdxhqR/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 — Reaction Time Surf Training capabilities are ready to use.
Configuration · claude_desktop_config.jsonCopy
{
  "mcpServers": {
    "reaction-time-surf-training-mcp": {
      "url": "https://edge.vinkius.com/vk_preview_cmwT3XtqRknDoVmKvGM97N3x9iBw4VGzDVFdxhqR/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? How to give Claude access to Reaction Time Surf Training

See all the AI clients this connector works with ↑

FAQ

Questions Reaction Time Surf Training owners ask.

  • 01

    How do I start my training?

    Start by using get_training_drills with your current reaction time to receive a customized list of exercises.

  • 02

    Can I predict my improvement?

    Yes, you can use predict_improvement_outcome to estimate your expected reaction time reduction and probability of success.

  • 03

    How is the training difficulty determined?

    Difficulty is calculated using evaluate_stimulus_complexity, which considers your current speed and whether you are using visual or auditory stimuli.