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Connect Training Log Analyzer 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 lifting history into clear training plans.

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 Training Log Analyzer.

  1. 01

    Analyze progress trajectory

    This capability calculates your long-term strength trends. It tells you if your lifting performance is moving up or down over time.

  2. 02

    Detect performance plateaus

    This capability identifies when your progress has stalled. It flags specific lifts where you are no longer seeing strength gains.

  3. 03

    Get volume trends

    This capability tracks your total workload. It monitors how much volume you are moving for a specific exercise over time.

  4. 04

    Recommend periodization

    This capability suggests your next training phase. It uses your recent data to recommend focus areas like strength or hypertrophy.

Real work

What teams actually run

01

Breaking Plateaus

Ask your agent to check if your lifts have stalled so you can adjust your intensity.

02

Workload Management

Check your volume trends to ensure you aren't increasing workload too quickly.

03

Program Adjustment

Get a recommendation for your next training block after completing a cycle.

04

Progress Auditing

Verify if your long-term strength is actually increasing over several months.

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.

Observed, not estimated

908ms average. Fast in production.

Training Log Analyzer is checked daily against the live service.

Daily averagePeak 1071ms
Oct 3Today
Fastest day
716ms
Slowest day
1071ms
14-day trend
Stable-2%

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? Set up Training Log Analyzer in Claude and other AIs

See all the AI clients this connector works with ↑

Who it's for

Built for the work Training Log Analyzer owners hand off.

This is for anyone serious about tracking strength gains through data. It's built for people who want an AI agent to act as a data-driven coach.

  • 01

    Strength Athletes

    They hand off their lifting logs to the AI to find training gaps.

  • 02

    Fitness Coaches

    They use the capability to analyze client progress and adjust programming.

  • 03

    Data-Driven Lifters

    They use the capability to monitor workload and prevent overtraining.

FAQ

Questions Training Log Analyzer owners ask.

  • 01

    How does this MCP analyze my training?

    It reads your strength training logs and uses specific capabilities to calculate volume, detect plateaus, and track strength trends.

  • 02

    Can I use this with Claude or Cursor?

    Yes, you can connect this MCP to any MCP-compatible client like Claude, Cursor, or Windsurf.

  • 03

    What kind of training data does it need?

    It needs your strength training logs, including exercise names, weight, and repetitions.

  • 04

    How does it help with periodization?

    It uses your recent performance and plateau data to recommend what your next training phase should focus on.

  • 05

    Do I need to host the MCP myself?

    No, Vinkius hosts and manages the MCP for you, so it is ready to use immediately after connection.

  • 06

    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.

  • 07

    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.

  • 08

    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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