What metrics does this MCP use to calculate quality?

The quality score is based on four pillars: RPE, volume, technique, and mental focus.

How do I use this with Claude or Cursor?

You connect to the MCP through the Vinkius platform, which hosts and manages the connection for you. Once connected, your AI client can call the capabilities directly.

Can I see if my training is improving over time?

Yes, you can use the get_quality_trend capability to analyze how your workout quality has changed over any specific period.

What if a workout feels bad?

You can use the identify_bottlenecks capability to find out if the issue was your technique, your focus, your volume, or your RPE.

Does this work with any AI client?

It works with any MCP-compatible client, including Claude, Cursor, Windsurf, and VS Code.

How is the quality index calculated?

The index is a composite value derived from RPE, volume, technique quality, and mental focus. High technique and focus scores act as multipliers for the effective volume.

Can I see how my training is progressing over time?

Yes, you can use the get_quality_trend capability to analyze how your workout quality has changed over a specific date range.

What should I do if my quality score is low?

You can use identify_bottlenecks to find the specific pillar--such as technique or focus--that is most significantly impacting your session quality.

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Connect Workout Quality Index 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 raw training data into actionable performance insights.

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 Workout Quality Index.

01
Compare session to baseline
This capability compares a single workout against your established performance norms. It shows you exactly how much a session deviated from your usual standards.
02
Get quality trend
This capability tracks your performance over time. Use it to see how your overall workout quality is shifting across specific date ranges.
03
Get workout quality
This capability calculates a total quality score for a specific session. It provides a detailed breakdown based on your RPE, volume, technique, and focus.
04
Identify bottlenecks
This capability isolates the specific pillar dragging down your score. It tells you if your quality is suffering due to technique, focus, volume, or RPE.

Real work

What teams actually run

Post-Workout Review

After a session, ask your agent to calculate your quality score to see if you hit your targets.

Plateau Breaking

Use bottleneck detection to see if poor technique or low focus is stalling your progress.

Long-term Progress Tracking

Analyze monthly trends to ensure your training quality is moving in the right direction.

Consistency Auditing

Compare new sessions to your baseline to see if you are maintaining your training standards.

One connector, every AI

Workout Quality Index 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 Workout Quality Index 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

929ms average. Fast in production.

Workout Quality Index is checked daily against the live service.

Daily averagePeak 1064ms

Oct 3Today

Fastest day: 786ms
Slowest day: 1064ms
14-day trend: Slowing+19%

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 Workout Quality Index, so you can see the experience inside your AI.

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

Workout Quality Index Connector

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

Connector linkhttps://edge.vinkius.com/vk_preview_PV1eimdoUwb5T2wuyzqd2r4MdCdiXbJUnKByuVAg/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 — Workout Quality Index capabilities are ready to use.

Configuration · claude_desktop_config.jsonCopy

{
  "mcpServers": {
    "workout-quality-index-mcp": {
      "url": "https://edge.vinkius.com/vk_preview_PV1eimdoUwb5T2wuyzqd2r4MdCdiXbJUnKByuVAg/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 Workout Quality Index in Claude and other AIs

See all the AI clients this connector works with ↑

Who it's for

Built for the work Workout Quality Index owners hand off.

This MCP is built for anyone who treats training as a data-driven pursuit rather than just moving weight.

01
Strength Coaches
Hand off raw client training logs to the AI to get instant quality reports and bottleneck analysis.
02
Data-Driven Athletes
Use your AI client to monitor long-term performance trends and session consistency.
03
Fitness Researchers
Analyze how different training variables like RPE and technique impact total session quality.

FAQ

Questions Workout Quality Index owners ask.

01
What metrics does this MCP use to calculate quality?
The quality score is based on four pillars: RPE, volume, technique, and mental focus.
02
How do I use this with Claude or Cursor?
You connect to the MCP through the Vinkius platform, which hosts and manages the connection for you. Once connected, your AI client can call the capabilities directly.
03
Can I see if my training is improving over time?
Yes, you can use the get_quality_trend capability to analyze how your workout quality has changed over any specific period.
04
What if a workout feels bad?
You can use the identify_bottlenecks capability to find out if the issue was your technique, your focus, your volume, or your RPE.
05
Does this work with any AI client?
It works with any MCP-compatible client, including Claude, Cursor, Windsurf, and VS Code.
06
How is the quality index calculated?
The index is a composite value derived from RPE, volume, technique quality, and mental focus. High technique and focus scores act as multipliers for the effective volume.
07
Can I see how my training is progressing over time?
Yes, you can use the get_quality_trend capability to analyze how your workout quality has changed over a specific date range.
08
What should I do if my quality score is low?
You can use identify_bottlenecks to find the specific pillar--such as technique or focus--that is most significantly impacting your session quality.

Explore

More in Productivity

Connect Workout Quality Index 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

Compare session to baseline

Get quality trend

Get workout quality

Identify bottlenecks

What teams actually run

Post-Workout Review

Plateau Breaking

Long-term Progress Tracking

Consistency Auditing

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

Workout Quality Index Connector

Claude Desktop

Strength Coaches

Data-Driven Athletes

Fitness Researchers

What metrics does this MCP use to calculate quality?

How do I use this with Claude or Cursor?

Can I see if my training is improving over time?

What if a workout feels bad?

Does this work with any AI client?

How is the quality index calculated?

Can I see how my training is progressing over time?

What should I do if my quality score is low?

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