Class Rank Estimator Connector for AI agents.
3 live capabilities
Predict student percentile rankings and GPA goals using school distribution data.
Waiting for input…
Why people use Class Rank Estimator
Class Rank Estimator for Accurate Academic Percentile Modeling
With this Connector, you just tell your agent the three numbers you need. It does the heavy lifting of the normal distribution math instantly. You get a clear percentile rank and a description of how competitive that rank actually is, turning a messy spreadsheet into a clear academic roadmap.
What Vinkius changes
That it turns raw school statistics into a clear picture of a student's academic standing.
Use it from Claude, ChatGPT, Cursor or another AI client you already have.
One account · 6,100+ Connectors
- Real-world use case 01
Checking college application eligibility
A counselor wants to know if a 3.
- Real-world use case 02
Setting a target GPA for the year
A student wants to know what they need to be in the top 10%.
- Real-world use case 03
Contextualizing a specific score
A parent wants to know how 'good' a 3.
Complete set · 3capabilities
The complete Class Rank Estimator capability set.
These are the exact actions your AI can choose when you ask it to work with Class Rank Estimator.
01—03
3 capabilities in this set.
Part of 3 available through Class Rank Estimator.
- 01 Capability
Get placement context
This capability provides a qualitative label like 'Elite' or 'Highly Competitive' based on a rank. It gives you a quick sense of how a student's standing compares to common standards.
- 02 Capability
Estimate target gpa
This capability calculates the specific GPA a student needs to reach a target percentile. It helps you plan exactly what scores are required for college applications.
- 03 Capability
Calculate rank from gpa
This capability determines a student's percentile rank based on their GPA and school distribution. You can use it to see where a student sits relative to their peers.
Set up in minutes
One URL. Then ask Class Rank Estimator to work.
Claude and ChatGPT only need the Connector URL. Copy it once, add it in settings, and use Class Rank Estimator 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_UmGjGzLMMgs1oz0MZyuyK7vebBYRPY7hkW3sz3vG/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 Class Rank Estimator, and paste the URL above.
- Step 03
Turn it on in chat
Select +, open Connectors, and enable Class Rank Estimator for the conversation.
ChatGPT · Web + desktop
Connector URL · ready to paste
Streamable HTTPhttps://edge.vinkius.com/vk_preview_UmGjGzLMMgs1oz0MZyuyK7vebBYRPY7hkW3sz3vG/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 Class Rank Estimator URL.
- Step 03
Save and start
Save the connection and enable Class Rank Estimator in your conversation. Desktop may ask you to restart once.
Cursor · IDE configuration
Advanced setup
{
"mcpServers": {
"class-rank-estimator": {
"url": "https://edge.vinkius.com/vk_preview_UmGjGzLMMgs1oz0MZyuyK7vebBYRPY7hkW3sz3vG/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 Class Rank Estimator
Open Agent mode in chat and ask: "Using Class Rank Estimator, help me...". 3 tools available
VS Code Copilot · IDE configuration
Advanced setup
{
"mcpServers": {
"class-rank-estimator": {
"url": "https://edge.vinkius.com/vk_preview_UmGjGzLMMgs1oz0MZyuyK7vebBYRPY7hkW3sz3vG/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 Class Rank Estimator
Ask Copilot: "Using Class Rank Estimator, help me...". 3 tools available
Windsurf · IDE configuration
Advanced setup
{
"mcpServers": {
"class-rank-estimator": {
"url": "https://edge.vinkius.com/vk_preview_UmGjGzLMMgs1oz0MZyuyK7vebBYRPY7hkW3sz3vG/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 Class Rank Estimator
Open Cascade and ask: "Using Class Rank Estimator, help me...". 3 tools available
Cline · IDE configuration
Advanced setup
{
"mcpServers": {
"class-rank-estimator": {
"url": "https://edge.vinkius.com/vk_preview_UmGjGzLMMgs1oz0MZyuyK7vebBYRPY7hkW3sz3vG/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 Class Rank Estimator
Ask Cline: "Using Class Rank Estimator, help me...". 3 tools available
Claude Code · Terminal command
Advanced setup
claude mcp add class-rank-estimator --transport http "https://edge.vinkius.com/vk_preview_UmGjGzLMMgs1oz0MZyuyK7vebBYRPY7hkW3sz3vG/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 Class Rank Estimator
Ask Claude: "Using Class Rank Estimator, show me...". 3 tools are ready
Where the request belongs
Work Class Rank Estimator can move forward.
This is for high school counselors, college admissions officers, and students who need to understand how a GPA compares to a broader academic distribution.
High School Guidance Counselor
Helps students understand their standing for college applications by running percentile checks.
College Admissions Officer
Evaluates how a specific GPA compares to a school's distribution to better contextualize applications.
High School Student
Tracks their own progress toward a specific academic goal or college bracket.
Academic Advisor
Provides data-backed advice on what GPA targets are needed to reach specific percentiles.
Build the capability set
Add more capabilities.
Each Connector adds new actions and data without changing how you work.
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GMAT Score Estimator
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US College Admission Estimator
Estimate US college admission chances in seconds -- GPA, test scores, and extracurriculars turned into safety/match/reach probabilities by your AI agent.
Final Grade Needed Calculator
Calculate the exact score needed on upcoming exams or assignments to reach your target course grade.
Bring your own AI
Change the model, client or framework. Keep Class Rank Estimator connected.
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Claude -
ChatGPT -
Gemini -
Cursor -
VS Code -
Windsurf -
ZCode -
Cline -
Zed -
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Kiro -
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Vercel AI SDK
Before you connect
Questions about Class Rank Estimator.
The practical details behind the request, access and result.
How does Class Rank Estimator help with college apps?
It helps you understand exactly where a student sits in their school's distribution. By knowing the percentile, you can better explain a student's academic standing to admissions officers.
Can Class Rank Estimator tell me my official rank?
No, it provides a statistical estimate based on the GPA, mean, and standard deviation you provide. It's meant for planning and 'what if' scenarios, not as an official transcript.
What info do I need to use Class Rank Estimator?
You'll need three pieces of data: the student's current GPA, the school's average GPA, and the school's standard deviation.
How accurate is the Class Rank Estimator?
It uses a normal distribution model to provide a mathematical approximation. The accuracy depends on how well the school's grades follow a standard bell curve.
Can I use Class Rank Estimator to set GPA goals?
Yes, that's a primary use case. You can ask your agent to calculate the exact GPA needed to reach a specific percentile or ranking goal.
Is Class Rank Estimator good for high school counselors?
It's a great capability for counselors who want to give students data-backed advice on how to improve their standing or what goals are realistic for their target colleges.
How accurate are these estimates?
The capability uses a normal distribution model, which is a mathematical approximation. While useful for estimation, it should not be used as an official academic record.
What inputs do I need for `calculate_rank_from_gpa`?
You need the student's GPA, the school's mean GPA, and the standard deviation of GPAs in the school.
Can I use this to find out what GPA I need for a specific rank?
Yes, you can use the estimate_target_gpa capability to calculate the required GPA based on your target top percentage.
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