Use Beginner Progression Score with your AI.
Connect your account once and let the AI you already use work with it, without building another integration. Turn practice data into measurable skill milestones.
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.
Complete set · 4 capabilities
The complete Beginner Progression Score capability set.
These are the exact actions your AI can choose when you ask it to work with Beginner Progression Score.
01-04
4 capabilities in this set.
Part of 4 available through Beginner Progression Score.
- 01
Estimate time to next level
This capability predicts your timeline for reaching the next milestone. It uses your current practice habits to project future progress.
- 02
Analyze practice efficiency
This capability evaluates how well you use your practice time. It looks at how things like instruction quality and environment affect your learning speed.
- 03
Calculate current progression
This capability calculates your current overall advancement score. It provides a normalized number representing your total progress.
- 04
Recommend next skills
This capability identifies the most effective skills to learn next. It looks at your current progress to suggest the best path through a skill tree.
One connector, every AI
Beginner Progression Score 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.
Claude
ChatGPT
Gemini
Perplexity
Grok
Microsoft Copilot
Cursor
VS Code
Windsurf
JetBrains
Cline
LangChain
Vercel AI SDK
Lovable
Z.ai
Raycast
Qwen Code
Kimi Code
Le ChatBuilding your own app? The connector is yours to use.
You don't need a client to put Beginner Progression Score 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
866ms average. Fast in production.
Beginner Progression Score is checked daily against the live service.
- Fastest day
- 866ms
- Slowest day
- 866ms
- 14-day trend
- Stable0%
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 Beginner Progression Score, so you can see the experience inside your AI.
It does not authenticate your account with Beginner Progression Score. Actions requiring credentials or live account data may not run until you activate the Connector and authorize the service.
Beginner Progression Score Connector
You're all set. Choose your MCP client and follow the setup instructions.
https://edge.vinkius.com/vk_preview_zoUG1bHnX3QnpYSqLL9RwWEY77H6Thd7miIOnJa6/mcpClaude 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 — Beginner Progression Score capabilities are ready to use.
{
"mcpServers": {
"beginner-progression-score-mcp": {
"url": "https://edge.vinkius.com/vk_preview_zoUG1bHnX3QnpYSqLL9RwWEY77H6Thd7miIOnJa6/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? link.label
Who it's for
Built for the work Beginner Progression Score owners hand off.
This is for anyone following a structured learning path who wants to move away from intuition and toward data. It works best for people tracking technical or physical skills.
- 01
Skill Coaches
They hand off student practice data to the AI to get objective efficiency reports.
- 02
Self-Taught Learners
They use the AI to stay on track and decide what to study next.
- 03
Curriculum Designers
They use the metrics to see how effectively students move through specific skill trees.
FAQ
Questions Beginner Progression Score owners ask.
- 01
How do I connect this MCP to my AI client?
You connect once through the Vinkius platform. After that, the MCP is ready to use in any compatible client like Claude or Cursor.
- 02
What data do I need to provide for a progression score?
You'll need to provide details like practice hours, specific skills mastered, natural ability levels, and instruction factors.
- 03
Can this MCP predict exactly when I will finish a course?
It provides an estimate based on your current practice habits and milestones, often including a confidence interval.
- 04
Does this work with any AI model?
It works with any MCP-compatible client. It does not depend on a specific model version.
- 05
How does it measure practice efficiency?
It evaluates your practice time against environmental factors and the quality of instruction you receive.
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