How does this MCP help prevent injuries?

It uses the predict_injury_threshold capability to identify the exact training load where your risk of injury becomes high.

Can I use this with Claude or Cursor?

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

What data do I need to provide?

You typically provide training volume, vertical meters, rest hours, fitness levels, and hydration status.

Does this replace a coach?

It provides physiological modeling and data-driven recommendations that can support a coach's decisions.

How does it handle recovery?

The analyze_recovery_efficiency capability evaluates how effectively you use rest periods based on your fitness.

How does this capability help prevent injuries?

By using predict_injury_threshold, you can identify the specific training load that will push you into a high-risk zone, allowing for safer planning.

Can I include nutrition and hydration in my analysis?

Yes, capabilities like calculate_performance_status and optimize_training_load allow you to input hydration and nutrition status to refine the fatigue and risk models.

What is the difference between performance decline and injury risk?

Performance decline measures the drop in your current capability due to fatigue, while injury risk measures the increased likelihood of musculoskeletal issues.

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Connect Fatigue & Performance Analyzer 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. Track physiological fatigue and prevent training injuries.

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.

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.

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 Fatigue & Performance Analyzer.

01
Analyze recovery efficiency
This capability determines how effectively you are using your rest periods relative to your current fitness level.
02
Calculate performance status
This capability provides a snapshot of your current physiological state.
03
Optimize training load
This capability recommends the ideal training volume to maximize your performance while keeping injury risk low.
04
Predict injury threshold
This capability identifies the specific training load that will push you into a high-risk injury zone.

Real work

What teams actually run

Preventing Overtraining

Use the injury threshold capability to see if your current training volume is pushing you into a danger zone.

Planning Weekly Volume

Ask your agent to recommend an ideal training load for your specific fitness level.

Evaluating Rest Quality

Check your recovery efficiency to see if your current rest schedule is actually working.

Daily Readiness Checks

Get a snapshot of your physiological status after a heavy training session.

One connector, every AI

Fatigue & Performance 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.

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

You don't need a client to put Fatigue & Performance 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

952ms average. Fast in production.

Fatigue & Performance Analyzer is checked daily against the live service.

Daily averagePeak 1102ms

Oct 3Today

Fastest day: 761ms
Slowest day: 1102ms
14-day trend: Slowing+16%

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 Fatigue & Performance Analyzer, so you can see the experience inside your AI.

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

Fatigue & Performance Analyzer Connector

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

Connector linkhttps://edge.vinkius.com/vk_preview_kgHPHN1Qc2SqG7kJfedlJm7Fm8qPu5JRVfuTNI4f/mcp

Claude Desktop

Follow the steps below to connect in seconds.

1In Claude Desktop, open Settings → Connectors.
2Click “Add custom connector” and paste the connector link above as the remote MCP server URL.
3Click Add and start a new chat — Fatigue & Performance Analyzer capabilities are ready to use.

Configuration · claude_desktop_config.jsonCopy

{
  "mcpServers": {
    "fatigue-performance-analyzer-mcp": {
      "url": "https://edge.vinkius.com/vk_preview_kgHPHN1Qc2SqG7kJfedlJm7Fm8qPu5JRVfuTNI4f/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 Fatigue & Performance Analyzer in Claude and other AIs

See all the AI clients this connector works with ↑

Who it's for

Built for the work Fatigue & Performance Analyzer owners hand off.

This MCP is built for people who need to manage high-intensity physical training through data-driven physiological modeling.

01
Athletes
They use the AI to monitor their own fatigue and adjust daily training volumes.
02
Coaches
They hand off training data to the AI to identify which athletes are approaching injury thresholds.
03
Sports Scientists
They use the modeling capabilities to evaluate recovery efficiency and performance degradation.

FAQ

Questions Fatigue & Performance Analyzer owners ask.

01
How does this MCP help prevent injuries?
It uses the predict_injury_threshold capability to identify the exact training load where your risk of injury becomes high.
02
Can I use this with Claude or Cursor?
Yes, you can connect this MCP to any MCP-compatible client including Claude, Cursor, and Windsurf.
03
What data do I need to provide?
You typically provide training volume, vertical meters, rest hours, fitness levels, and hydration status.
04
Does this replace a coach?
It provides physiological modeling and data-driven recommendations that can support a coach's decisions.
05
How does it handle recovery?
The analyze_recovery_efficiency capability evaluates how effectively you use rest periods based on your fitness.
06
How does this capability help prevent injuries?
By using predict_injury_threshold, you can identify the specific training load that will push you into a high-risk zone, allowing for safer planning.
07
Can I include nutrition and hydration in my analysis?
Yes, capabilities like calculate_performance_status and optimize_training_load allow you to input hydration and nutrition status to refine the fatigue and risk models.
08
What is the difference between performance decline and injury risk?
Performance decline measures the drop in your current capability due to fatigue, while injury risk measures the increased likelihood of musculoskeletal issues.

Explore

More in Health

Connect Fatigue & Performance Analyzer to Claude, Cursor, ChatGPT & more

Your AI does the work. We keep it safe and sound.

Each Connector runs inside its own sealed environment.

One switch stops every agent. Instantly.

Spending limits that pause instead of surprise.

We ship only the actions that matter.

01-04

Analyze recovery efficiency

Calculate performance status

Optimize training load

Predict injury threshold

What teams actually run

Preventing Overtraining

Planning Weekly Volume

Evaluating Rest Quality

Daily Readiness Checks

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

Fatigue & Performance Analyzer Connector

Claude Desktop

Athletes

Coaches

Sports Scientists

How does this MCP help prevent injuries?

Can I use this with Claude or Cursor?

What data do I need to provide?

Does this replace a coach?

How does it handle recovery?

How does this capability help prevent injuries?

Can I include nutrition and hydration in my analysis?

What is the difference between performance decline and injury risk?

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