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ClaudeChatGPTPerplexityGeminiMicrosoft CopilotRaycastMeta AIGrokZ.aiQwenKimi
DeepSeekMistralCursorVS CodeWindsurfJetBrainsClineLovableVercel AI SDKLangChain

Use Training Log Analyzer with your AI.

Connect your account once and let the AI you already use work with it, without building another integration. Identify physiological patterns and performance trends in strength training logs.

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 Training Log Analyzer capability set.

These are the exact actions your AI can choose when you ask it to work with Training Log Analyzer.

Capability set01 / 01

01-04

4 capabilities in this set.

Part of 4 available through Training Log Analyzer.

  1. 01

    Analyze progress trajectory

    Am I getting stronger or weaker over the long term?

  2. 02

    Detect performance plateaus

    Am I stuck and unable to make progress in my lifts?

  3. 03

    Get volume trends

    How has my total workload changed over time for a specific exercise?

  4. 04

    Recommend periodization

    What should my training focus be in the next phase to optimize results?

One connector, every AI

Training Log Analyzer 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 Training Log Analyzer 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 Training Log Analyzer, so you can see the experience inside your AI.

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

Training Log Analyzer Connector

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

Connector linkhttps://edge.vinkius.com/vk_preview_3RoXaYgWwrtzyhBVSVCjb7J4KZthHMlujHRvPo8N/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 — Training Log Analyzer capabilities are ready to use.
Configuration · claude_desktop_config.jsonCopy
{
  "mcpServers": {
    "training-log-analyzer-mcp": {
      "url": "https://edge.vinkius.com/vk_preview_3RoXaYgWwrtzyhBVSVCjb7J4KZthHMlujHRvPo8N/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 Training Log Analyzer

See all the AI clients this connector works with ↑

FAQ

Questions Training Log Analyzer owners ask.

  • 01

    How can I know if I am stuck in my progress?

    You can use the detect_performance_plateaus capability to analyze your recent sessions and identify if your strength has stagnated.

  • 02

    Can this capability help me plan my training cycles?

    Yes, the recommend_periodization capability provides specific phase recommendations like Deload or Hypertrophy based on your performance data.

  • 03

    How is volume calculated?

    Volume is calculated as the total weight lifted multiplied by the number of repetitions performed for each exercise.

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