- SCORED
- RESOLVED
- PREDICTED
- HUMAN
Short answer
How do I get a final candidate ranking from my AI?
Your AI calculates weighted scores for every applicant, resolves any ties using your specific logic, and predicts where they sit against your available vacancies. You get a clean, prioritized list ready for review.
Where every result lands.
The final outputs
The AI processes your raw data into these specific outcomes.
SCORED
Weighted candidate scores
The AI applies your specific criteria to every applicant. You get a numerical value for each person based on your requirements.
RESOLVED
Tie-broken rankings
When two people have the same score, the AI uses your secondary rules to decide who ranks higher. No more manual sorting.
PREDICTED
Vacancy position forecasts
The AI compares the ranked list against your open headcount. It shows you exactly how many candidates are likely to be hired.
HUMAN
Final hiring decisions
The AI provides the math and the order, but you make the final call on who to extend an offer to.
The workflow
What your AI does when the data arrives.
The AI follows a logical sequence to move from raw data to a finished list.
Score the applicants
The AI looks at your candidate data and applies the weights you've set for different skills or experience levels.
calculate_weighted_scoreBreak the ties
If multiple candidates have identical scores, the AI applies your tie-breaking logic to maintain a strict order.
resolve_tiebreakerMap to vacancies
The AI checks the ranked list against your number of open roles to see where the cutoff happens.
predict_ranking_positionFinalize the list
The AI presents the final, sorted list of candidates in order of their predicted success for the roles.
predict_ranking_position
Try it
Copy these to start.
Use these prompts to kick off the ranking process.
Starting points
Replace the bracketed text with your actual file names or sheet names.
Concurso Score Calculator Connector
You're all set. Choose your MCP client and follow the setup instructions.
https://edge.vinkius.com/vk_preview_cEvUTCFoKRPpsQiSP3WjjR3EacJ0CWLigmpq34JP/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 — Concurso Score Calculator capabilities are ready to use.
{
"mcpServers": {
"concurso-score-calculator-mcp": {
"url": "https://edge.vinkius.com/vk_preview_cEvUTCFoKRPpsQiSP3WjjR3EacJ0CWLigmpq34JP/mcp"
}
}
}Calculate the weighted scores for the candidates in my 'Q3_Hiring_Sheet'.
Resolve any ties in the 'Engineering_Applicants' list using my seniority rules.
Predict the ranking positions for these candidates against my 5 open developer roles.
Run a full ranking pass on the 'Marketing_Candidates' file and show me who fits the vacancies.
Claude
ChatGPT
Cursor
VS Code
Windsurf
Claude Code
JetBrains
Cline
Start here
Connect Concurso Score Calculator once, then ask.
Just link the MCP to your client. Your credentials stay encrypted, and you can start asking questions immediately.
Connect Concurso Score Calculator to your AIFAQ
How this task behaves
- 01
Can the AI change my original candidate data?
No. The AI only reads your data to perform calculations; it does not modify your original files or databases.
- 02
Does the AI decide who to hire?
No. The AI provides the math and the ranking, but the final hiring decision is always yours.
- 03
How does it handle candidates with the same score?
It uses the resolve_tiebreaker tool to apply your specific secondary criteria to ensure a unique order.
- 04
Can I use this with my existing spreadsheet?
Yes, as long as your AI client can access the file through the connected MCP.
- 05
What happens if I have more candidates than vacancies?
The AI uses the predict_ranking_position tool to show you which candidates fall within the hiring range and which fall outside.
More questions about Concurso Score Calculator? The Connector page answers them. See everything the Concurso Score Calculator Connector can do
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