What exactly is the ACWR ratio?

The ACWR stands for Acute:Chronic Workload Ratio. It's a measure that compares the athlete's recent training load (acute) to their long-term baseline load (chronic). It tells you if the athlete is suddenly over-stressing their body.

Does this MCP predict injuries?

It doesn't predict injuries with certainty, but it predicts risk. By flagging the 'Danger Zone' or 'Under-training' status, it alerts you to the biomechanical conditions that commonly lead to injury.

What kind of data do I need to input?

You need the athlete's weekly training loads. The MCP uses these numbers to calculate the ratio and detect trends. The more data you provide, the better the analysis.

What happens if the ACWR is too high?

A high ratio means the athlete is doing too much too fast. The MCP will flag this, and you can use the capability to generate a training prescription that recommends reducing the load.

What is the purpose of the calculate_acwr_series capability?

It processes a sequence of weekly training loads to generate a series of ACWR values and summary statistics.

How does evaluate_risk_tier determine injury risk?

It applies specific thresholds to the current ratio: below 0.8 is Under-training, 0.8-1.3 is Safe, 1.3-1.5 is Moderate Risk, and above 1.5 is the Danger Zone.

Can I get coaching advice using this server?

Yes, the generate_training_prescription capability provides actionable instructions like 'Maintain', 'Increase', or 'Reduce' load based on your current ratio and trend.

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Connect Acutechronic Workload Ratio Acwr Analyzer to your AI

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. Get actionable training plans and injury risk scores.

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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 ACWR Analyzer.

01
Evaluate risk tier
This capability evaluates the athlete's current injury risk tier based on the calculated ACWR ratio.
02
Detect load trend
Use this capability to analyze the overall pattern of training load over time, spotting increasing or decreasing trends.
03
Calculate acwr series
This function calculates a full series of ACWR values, giving you a historical view of the athlete's workload ratio.
04
Generate training prescription
The system generates specific coaching advice and training recommendations based on the current workload data.

Real work

What teams actually run

After a High-Intensity Week

If an athlete has a massive spike in training load, use the MCP to evaluate the risk tier and determine if they need to pull back.

Monitoring Long-Term Progress

Run the ACWR series calculation to ensure the athlete's overall load is building up steadily without plateaus or sudden drops.

Identifying Overuse Risk

If the ratio is consistently high, the MCP flags the danger zone, prompting you to modify the training prescription immediately.

Seasonal Planning

Use the load trend detection capability to ensure the athlete is peaking at the right time and not burning out too early in the season.

One connector, every AI

ACWR 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 ACWR 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

747ms average. Fast in production.

ACWR Analyzer is checked daily against the live service.

Daily averagePeak 935ms

Oct 3Today

Fastest day: 550ms
Slowest day: 935ms
14-day trend: Slowing+7%

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

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

ACWR Analyzer Connector

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

Connector linkhttps://edge.vinkius.com/vk_preview_6wJPlJEEtkpKouxdrtkiIYI1VteE0uLwqMkHkJ3C/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 — ACWR Analyzer capabilities are ready to use.

Configuration · claude_desktop_config.jsonCopy

{
  "mcpServers": {
    "acutechronic-workload-ratio-acwr-analyzer-mcp": {
      "url": "https://edge.vinkius.com/vk_preview_6wJPlJEEtkpKouxdrtkiIYI1VteE0uLwqMkHkJ3C/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 ACWR Analyzer in Claude and other AIs

See all the AI clients this connector works with ↑

Who it's for

Built for the work ACWR Analyzer owners hand off.

This MCP is built for professionals who manage athletic performance and need data-driven ways to prevent injuries. If you track training loads, you need this. It gives you objective metrics to guide your decisions, moving you past guesswork.

01
Head Coach
Use the MCP to generate training prescriptions and adjust weekly plans based on real-time athlete fatigue.
02
Athletic Trainer
Run risk tier assessments to identify athletes who are spiking their workload and need immediate load reduction.
03
Sports Scientist
Analyze load trends and calculate ACWR series to track long-term athlete development and prevent overuse injuries.

FAQ

Questions ACWR Analyzer owners ask.

01
What exactly is the ACWR ratio?
The ACWR stands for Acute:Chronic Workload Ratio. It's a measure that compares the athlete's recent training load (acute) to their long-term baseline load (chronic). It tells you if the athlete is suddenly over-stressing their body.
02
Does this MCP predict injuries?
It doesn't predict injuries with certainty, but it predicts risk. By flagging the 'Danger Zone' or 'Under-training' status, it alerts you to the biomechanical conditions that commonly lead to injury.
03
What kind of data do I need to input?
You need the athlete's weekly training loads. The MCP uses these numbers to calculate the ratio and detect trends. The more data you provide, the better the analysis.
04
What happens if the ACWR is too high?
A high ratio means the athlete is doing too much too fast. The MCP will flag this, and you can use the capability to generate a training prescription that recommends reducing the load.
05
What is the purpose of the calculate_acwr_series capability?
It processes a sequence of weekly training loads to generate a series of ACWR values and summary statistics.
06
How does evaluate_risk_tier determine injury risk?
It applies specific thresholds to the current ratio: below 0.8 is Under-training, 0.8-1.3 is Safe, 1.3-1.5 is Moderate Risk, and above 1.5 is the Danger Zone.
07
Can I get coaching advice using this server?
Yes, the generate_training_prescription capability provides actionable instructions like 'Maintain', 'Increase', or 'Reduce' load based on your current ratio and trend.

Explore

More in Sports Science

Connect ACWR 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

Evaluate risk tier

Detect load trend

Calculate acwr series

Generate training prescription

What teams actually run

After a High-Intensity Week

Monitoring Long-Term Progress

Identifying Overuse Risk

Seasonal Planning

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

ACWR Analyzer Connector

Claude Desktop

Head Coach

Athletic Trainer

Sports Scientist

What exactly is the ACWR ratio?

Does this MCP predict injuries?

What kind of data do I need to input?

What happens if the ACWR is too high?

What is the purpose of the calculate_acwr_series capability?

How does evaluate_risk_tier determine injury risk?

Can I get coaching advice using this server?

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