ENEM Score Calculator MCP. Know your admission chances before you apply.
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ENEM Score Calculator helps you analyze student performance metrics and predict university admission chances based on historical data. It computes average scores across objective exam areas, weighs subject importance for a final score, and compares your results against past cutoff benchmarks.
What your AI agents can do
Simulate admission possibility
Compares your raw score against historical data records to predict if you might be admitted to a specific university course.
Calculate area averages
Generates the arithmetic mean average of scores across the four main objective exam areas.
Calculate weighted score
Calculates a final performance score by multiplying subject scores by custom importance weights.
Calculates the simple arithmetic mean of scores from the four main objective exam subjects.
Computes an overall weighted score based on specific importance weights you assign to different subjects.
Compares your calculated scores against historical university data to estimate potential admission chances for specific courses.
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Supported MCP Clients
OAuth 2.0 Compatible Gemini Waiting for input…
ENEM Score Calculator MCP: 3 Tools
These tools let you compute average academic performance metrics, assign subject weights for a final score, and simulate your admission possibility using historical data.
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Add this MCP to Claude, Cursor, or Windsurf and your AI stops guessing. It gets real tools to look things up, take action, and handle the stuff you keep doing by hand.
Start using ENEM Score Calculator on Vinkius019ed640simulate admission possibility
Compares your raw score against historical data records to predict if you might be admitted to a specific university course.
019ed640calculate area averages
Generates the arithmetic mean average of scores across the four main objective exam areas.
019ed640calculate weighted score
Calculates a final performance score by multiplying subject scores by custom importance weights.
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Works with Claude, ChatGPT, Cursor, and more
The Model Context Protocol standardizes how applications expose capabilities to LLMs. Instead of operating in isolation, your AI gains direct access to external platforms, live data, and real-world actions through secure, standardized connections.
This server provides 3 capabilities that interface natively with Claude, ChatGPT, Cursor, and any MCP client. No middleware. No custom integration required.
Manually tracking performance metrics is a nightmare.
Right now, generating an academic profile means jumping between multiple spreadsheets. You calculate simple averages in one sheet, then open another to manually apply weights based on the degree requirements. Then you have to take that final number and cross-reference it against old admission data—all of it copy-pasted, all prone to a tiny math error.
With this MCP, your agent does all that work for you. You provide the scores, and the system outputs three distinct views: the simple average, the weighted total, and an immediate comparison to historical benchmarks. It's structured data analysis in plain language.
The `calculate_weighted_score` tool delivers tailored insights.
You used to have to guess which subjects mattered most for a specific major, then manually adjust the scores using an arbitrary multiplier. You'd spend hours trying to find the right formula to reflect institutional priorities.
Now you just tell your agent what weights are critical. The `calculate_weighted_score` tool handles that complexity instantly. It gives you a definitive final score based on the importance structure you define, without any guessing.
What you can do with this MCP connector
Figuring out an admission score used to mean juggling spreadsheets: calculating area averages in one tab, adjusting weights in another, and then manually cross-referencing those numbers with years of historical college data. It was slow, prone to errors, and left you guessing.
This MCP changes that process entirely. You feed your raw test scores into the system, and it handles the heavy lifting. Instead of just getting a single number, you get three distinct views: a basic average across all core subjects; a weighted score that emphasizes what matters most for certain degrees; and a direct comparison to historical admission cutoff points.
These tools give you immediate context on where your results stand relative to top universities. By connecting this MCP through the Vinkius catalog, your agent can pull these complex calculations instantly, giving you actionable data when you need it.
019ed640-caed-735a-bee2-550028aea9e3 
How ENEM Score Calculator MCP Works
- 1 Input the student's raw test scores and any necessary weights into your AI client.
- 2 The MCP runs multiple calculations: first, determining the simple average across all core areas; second, computing a weighted score using defined subject importance; and third, running a simulation comparing those results to historical admission cutoff data.
- 3 Your agent returns a full report detailing the area averages, the final weighted score, and a clear prediction of your chances for specific universities.
The bottom line is that you get three distinct metrics—average, weighted total, and predicted chance—all calculated in one go.
Who Is ENEM Score Calculator MCP For?
Academic advisors who spend too much time manually cross-referencing old cutoff scores. Students facing high-stakes exams who need clear, actionable metrics rather than just a single grade. Parents guiding college applications through complex scoring systems.
Uses the MCP to quickly compare a student's calculated performance against historical data for multiple programs, helping them recommend realistic options.
Inputs their raw test scores and uses calculate_weighted_score to see how different emphasis areas impact their overall potential score before applying.
Runs the full suite of tools to create a multi-faceted profile for a student, combining area averages with admission simulations to build a robust application narrative.
What Changes When You Connect
- Get a full picture of performance, not just one number.
calculate_area_averagesimmediately tells you the average across all four core subjects, giving context beyond the final grade. - Pinpoint exactly what matters for your target university. Use
calculate_weighted_scoreto assign different importance levels (weights) to specific subjects and see how that changes your total score. - Stop guessing about acceptance rates. The
simulate_admission_possibilitytool compares your current numbers directly against years of historical cutoff scores, making predictions tangible. - Avoid analysis paralysis by running all three calculations in one go. This MCP handles the complexity so you get a comprehensive view instantly.
- Use this MCP to build multiple scenarios. You can adjust weights and re-run the simulation many times until your agent finds the best fit for your profile.
Real-World Use Cases
The student needs to know if a high score is enough.
A student gets great scores but worries about competition. They ask their agent: 'Will I pass Medicine at University X with my weighted score of 800?' The MCP runs simulate_admission_possibility using the specific course and university IDs to give them a data-backed answer against historical records.
The advisor needs a quick comparison across different scoring methods.
An academic consultant wants to show a student their strengths. They first run calculate_area_averages for a baseline, then use calculate_weighted_score by emphasizing Math and Essay (higher weights), giving the student two very different views of their potential.
The parent needs to understand which subjects are most critical.
A parent asks: 'If we boost my score in Science, how much does it help?' The agent uses calculate_weighted_score, increasing the weight for Science while keeping others constant. This instantly shows the concrete impact of improvement.
The student needs a baseline assessment.
A new applicant just wants to know their overall academic standing without worrying about weights or specific schools. They use calculate_area_averages first, getting a simple, objective mean score across the board.
The Tradeoffs
Treating all scores equally.
Assuming that because you scored 700 in Language and 650 in Math, your total potential is just the sum. This ignores the fact that some courses matter more for certain degrees.
→
Don't just average everything. Use calculate_weighted_score to give higher importance weights (e.g., weight of 3) to the subjects most critical for your target major, giving a more accurate picture.
Confusing raw scores with admission chances.
Getting a high score from one tool and assuming you're in. The number itself doesn't guarantee acceptance; institutional cutoffs are the real measure.
→
Always follow up by running simulate_admission_possibility. This tool is designed to compare your results directly against historical admission cutoff scores.
Over-relying on a single average metric.
Using only the simple area average, which smooths out all performance variations and gives you an incomplete picture of strengths vs. weaknesses.
→
Start by getting the baseline using calculate_area_averages, but then refine that data by running calculate_weighted_score to focus on specific areas where your profile is strongest.
When It Fits, When It Doesn't
Use this MCP if you need a detailed, multi-faceted view of academic performance. Specifically, use it when you need to move beyond simple averages and compare scores against real-world benchmarks. If you're just looking for an overall grade average with no context or comparison points, a basic calculator will suffice. But if the goal is advising, planning, or predicting—you need this MCP. Don't use it if you don't know what weights matter; knowing which subjects are most important is key to running calculate_weighted_score correctly. If your data isn't current (i.e., missing test scores), none of the tools will work, so make sure all input data is complete and accurate.
Common Questions About ENEM Score Calculator MCP
What is the purpose of this tool? +
It allows students to calculate their ENEM averages and simulate whether they would have met the cutoff scores for specific university courses in previous years.
How do I use the weighted score feature? +
Use the calculate_weighted_score tool by providing your subject scores, their corresponding weights, and your essay score as JSON objects.
Where does the historical data come from? +
The tool uses hardcoded historical cutoff scores for specific universities and courses within the server's internal data catalog.
What format does `calculate_area_averages` expect when I run it? +
You must provide four specific numerical values. The tool needs separate scores for the four primary objective exam areas (Language, Math, Science, and Humanities) to compute the mean.
What happens if my input data is invalid when using `calculate_weighted_score`? +
The MCP will immediately return a clear error message. You need to verify that both the weights and all associated scores are entered as valid numerical inputs for the calculation to succeed.
Does `simulate_admission_possibility` work with exams other than ENEM? +
No, this MCP is limited exclusively to the ENEM exam structure. The historical data used for simulation comes solely from official Brazilian ENEM scoring records and university cutoff scores.
Is my score information kept private when I run `simulate_admission_possibility`? +
Yes, your input remains confidential during the session. Vinkius processes your data for the simulation only; it does not store or share your specific scores long-term.
How quickly is the `calculate_area_averages` function? +
The calculation runs almost instantly. Since it handles a fixed number of inputs, processing time across all compatible AI clients is negligible.
Use it with your favorite AI tools
Connect this server to Cursor, Claude, VS Code, and more.
