Learning Velocity Tracker Connector for AI agents.
4 live capabilities
Get data-driven study plans and accurate completion dates for any curriculum.
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Why people use Learning Velocity Tracker
Learning Velocity Tracker: End the guessing game of study efficiency
This Connector changes the dynamic by putting your study habits into a spreadsheet-like perspective. It analyzes the relationship between your time investment and your actual mastery. You get to see exactly where you're hitting a wall and where you're cruising through. You get a clear, data-backed answer on how much you've actually learned.
What Vinkius changes
You get a data-backed roadmap that tells you what to study next and when you'll be done.
Use it from Claude, ChatGPT, Cursor or another AI client you already have.
One account · 5,900+ Connectors
- Real-world use case 01
Crushing a coding bootcamp
A student feels stuck on backend logic.
- Real-world use case 02
Prepping for a medical board exam
A candidate uses calculate_global_velocity to see if they're on track to finish 400 modules in 3 months.
- Real-world use case 03
Learning a new language
A user wants to know if they're making progress.
Complete set · 4capabilities
The complete Learning Velocity Tracker capability set.
These are the exact actions your AI can choose when you ask it to work with Learning Velocity Tracker.
01—04
4 capabilities in this set.
Part of 4 available through Learning Velocity Tracker.
- 01 Capability
Analyze subject mastery
Check your proficiency level for a specific subject. Use this to see if you're actually retaining the material.
- 02 Capability
Calculate global velocity
Calculate your overall learning pace. This gives you a bird's-eye view of your progress across everything.
- 03 Capability
Predict completion timeline
Predict the completion date for your entire curriculum. Get a realistic deadline based on your current speed.
- 04 Capability
Identify low yield topics
Identify bottleneck topics that are draining your time. Use this to find where you need to pivot your strategy.
Set up in minutes
One URL. Then ask Learning Velocity Tracker to work.
Claude and ChatGPT only need the Connector URL. Copy it once, add it in settings, and use Learning Velocity Tracker from the conversation.
Choose your client
Live previewAdvanced clients IDE · CLI
Claude · Web + desktop
Connector URL · ready to paste
Streamable HTTPhttps://edge.vinkius.com/vk_preview_YBl0lFC2ov0KNtvsy9sQb18c02EEOO1YeT7UFnCm/mcp - Step 01
Open Connectors
In Claude Web or Claude Desktop, open Settings and choose Connectors.
- Step 02
Add the URL
Choose Add custom connector, name it Learning Velocity Tracker, and paste the URL above.
- Step 03
Turn it on in chat
Select +, open Connectors, and enable Learning Velocity Tracker for the conversation.
ChatGPT · Web + desktop
Connector URL · ready to paste
Streamable HTTPhttps://edge.vinkius.com/vk_preview_YBl0lFC2ov0KNtvsy9sQb18c02EEOO1YeT7UFnCm/mcp - Step 01
Open MCP settings
On desktop, open Settings and MCP servers. On web, open your workspace app or connector settings.
- Step 02
Add the URL
Choose Add server with Streamable HTTP, or create a custom MCP app, then paste the Learning Velocity Tracker URL.
- Step 03
Save and start
Save the connection and enable Learning Velocity Tracker in your conversation. Desktop may ask you to restart once.
Cursor · IDE configuration
Advanced setup
{
"mcpServers": {
"learning-velocity-tracker": {
"url": "https://edge.vinkius.com/vk_preview_YBl0lFC2ov0KNtvsy9sQb18c02EEOO1YeT7UFnCm/mcp"
}
}
}- Step 01
Open MCP Settings
Press Cmd+Shift+P (macOS) or Ctrl+Shift+P (Windows/Linux) → search "MCP Settings"
- Step 02
Add the server config
Paste the JSON configuration above into the mcp.json file that opens
- Step 03
Save the file
Cursor will automatically detect the new Connector
- Step 04
Start using Learning Velocity Tracker
Open Agent mode in chat and ask: "Using Learning Velocity Tracker, help me...". 4 tools available
VS Code Copilot · IDE configuration
Advanced setup
{
"mcpServers": {
"learning-velocity-tracker": {
"url": "https://edge.vinkius.com/vk_preview_YBl0lFC2ov0KNtvsy9sQb18c02EEOO1YeT7UFnCm/mcp"
}
}
}- Step 01
Create MCP config
Create a .vscode/mcp.json file in your project root
- Step 02
Add the server config
Paste the JSON configuration above
- Step 03
Enable Agent mode
Open GitHub Copilot Chat and switch to Agent mode using the dropdown
- Step 04
Start using Learning Velocity Tracker
Ask Copilot: "Using Learning Velocity Tracker, help me...". 4 tools available
Windsurf · IDE configuration
Advanced setup
{
"mcpServers": {
"learning-velocity-tracker": {
"url": "https://edge.vinkius.com/vk_preview_YBl0lFC2ov0KNtvsy9sQb18c02EEOO1YeT7UFnCm/mcp"
}
}
}- Step 01
Open MCP Settings
Go to Settings → MCP Configuration or press Cmd+Shift+P and search "MCP"
- Step 02
Add the server
Paste the JSON configuration above into mcp_config.json
- Step 03
Save and reload
Windsurf will detect the new server automatically
- Step 04
Start using Learning Velocity Tracker
Open Cascade and ask: "Using Learning Velocity Tracker, help me...". 4 tools available
Cline · IDE configuration
Advanced setup
{
"mcpServers": {
"learning-velocity-tracker": {
"url": "https://edge.vinkius.com/vk_preview_YBl0lFC2ov0KNtvsy9sQb18c02EEOO1YeT7UFnCm/mcp"
}
}
}- Step 01
Open Cline MCP Settings
Click the Connectors icon in the Cline sidebar panel
- Step 02
Add remote server
Click "Add Connector" and paste the configuration above
- Step 03
Enable the server
Toggle the server switch to ON
- Step 04
Start using Learning Velocity Tracker
Ask Cline: "Using Learning Velocity Tracker, help me...". 4 tools available
Claude Code · Terminal command
Advanced setup
claude mcp add learning-velocity-tracker --transport http "https://edge.vinkius.com/vk_preview_YBl0lFC2ov0KNtvsy9sQb18c02EEOO1YeT7UFnCm/mcp"- Step 01
Install Claude Code
Run npm install -g @anthropic-ai/claude-code if not already installed
- Step 02
Add the Connector
Run the command above in your terminal
- Step 03
Verify the connection
Run claude mcp to list connected servers, or type /mcp inside a session
- Step 04
Start using Learning Velocity Tracker
Ask Claude: "Using Learning Velocity Tracker, show me...". 4 tools are ready
Where the request belongs
Work Learning Velocity Tracker can move forward.
This is for the self-taught developer overwhelmed by a new stack, the college student prepping for finals, or anyone tackling a massive certification who needs to know if their current pace is actually sustainable.
Self-Taught Developer
Uses the capability to see if they're spending too much time on syntax and not enough on building projects.
Academic Student
Checks mastery levels across multiple subjects to decide which ones need more focus before exam week.
Certification Candidate
Tracks their daily progress toward a professional license to ensure they hit their deadline.
Build the capability set
Add more capabilities.
Each Connector adds new actions and data without changing how you work.
Browse Connectors
Study Hours Estimator
Calculate required study duration and structured learning phases for standardized exams.
Pomodoro Study Planner
Optimize your study sessions with adaptive Pomodoro scheduling based on energy and subject type.
Active Recall Session Planner
Transform studied topics into an optimized active recall practice schedule using Bloom's Taxonomy.
Review Session Scheduler
Automate study schedules using the Ebbinghaus Forgetting Curve for long-term memory retention.
Exam Notice Study Planner
Transform exam notices into optimized study schedules and milestones.
Attendance Tracker
Predictive monitoring system to track attendance frequency and calculate academic failure risk.
Bring your own AI
Change the model, client or framework. Keep Learning Velocity Tracker connected.
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Claude -
ChatGPT -
Gemini -
Cursor -
VS Code -
Windsurf -
ZCode -
Cline -
Zed -
Continue -
Kiro -
Roo Code -
Zencoder -
Goose -
Void -
Augment Code -
Amp -
Qodo -
Tabnine -
Pieces -
Sourcegraph Cody -
JetBrains -
Warp -
Amazon Q -
Antigravity -
BoltAI -
Raycast -
Jan -
LM Studio -
AnythingLLM -
Open WebUI -
Msty -
Cherry Studio -
LibreChat -
TypingMind -
Chorus -
5ire -
n8n -
LangChain -
LlamaIndex -
CrewAI -
Vercel AI SDK
Before you connect
Questions about Learning Velocity Tracker.
The practical details behind the request, access and result.
How does the Learning Velocity Tracker actually help me study?
It turns your study habits into data. By looking at how long you spend on a topic versus how much you actually learn, it tells you where to focus your energy and where you're getting stuck.
Can the Learning Velocity Tracker tell me when I'll finish my course?
Yes. It looks at your current pace and the amount of material remaining to give you a realistic completion date so you can plan your schedule better.
Will the Learning Velocity Tracker identify my hardest subjects?
It identifies 'low-yield' topics. These are the areas where you're spending a lot of time but not seeing much progress, which are usually your biggest bottlenecks.
Is the Learning Velocity Tracker good for self-taught learners?
It's perfect for anyone with a goal. Whether you're learning to code, a new language, or a professional certification, it helps you stay on track with a data-driven roadmap.
What kind of data does the Learning Velocity Tracker need?
It needs a sense of your time investment and your mastery level. Once your agent has access to your study logs or curriculum, it can start generating your velocity metrics.
How is this different from a simple study timer?
A timer just tells you how long you worked. This Connector tells you if that work actually mattered. It correlates your time spent with your actual learning results.
How does the capability calculate learning velocity?
It calculates velocity by dividing the total number of completed topics by the cumulative time spent on all studied topics, converted into hours.
What is a 'low yield' topic?
A topic is flagged as low yield if it requires a high amount of study time but results in a low mastery rate, indicating an inefficient use of your study sessions.
Can I predict completion for a specific subject?
Yes, by using the predict_completion_timeline capability and providing a target subject name, you can get an estimate of remaining hours and a projected completion date.
One connection away
Give your agent a direct line to Learning Velocity Tracker.
Connect Learning Velocity Tracker once. Keep it beside 5,900+ managed Connectors when the next task needs more.
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