Does this MCP account for human bias?

Yes. The MCP includes a specific capability to adjust raw scores. This process mitigates the impact of individual interviewer tendencies, ensuring your final ranking is more objective.

What kind of data does it need?

It requires structured data points, such as metrics (e.g., Team, Market, Product) and the corresponding weights you want to apply to those metrics.

Can I just get a simple score?

You can start by calculating the primary weighted score. However, for a complete picture, you should also run the score through the bias correction and cohort impact capabilities.

Is this just a scoring capability, or does it predict success?

It does both. It calculates a weighted score, but the final analytics capability provides acceptance probabilities and percentile rankings, giving you a prediction of standing.

How does the scoring model handle different criteria?

The calculate_application_score capability uses a weighted model where you assign decimal weights to Team, Market, Product, and Traction scores. The sum of these weights must equal 1.0.

Can I adjust for interviewers who are too lenient?

Yes, the apply_bias_correction capability adjusts raw scores toward the cohort average to ensure fairness across different interviewers.

How is cohort fit calculated?

The evaluate_cohort_impact capability takes a base score and a fit score to calculate a boost, which is then added to the base score (capped at 10) based on a specified weight.

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Connect Accelerator Selection Scoring to ChatGPT and Claude

Set it up once and it works in ChatGPT, Claude, Cursor, and any other client you love. It all runs safely in the background, so you can relax and focus on what really matters. Determine which candidates truly fit your accelerator cohort.

Ask AI about this Connector

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.

Your AI does the work. We keep it safe and sound.

No other AI tool gives you this. Your workflow runs in the client you already love, your account stays protected, and you decide what the agent can and cannot do. It is the whole reason to make the switch.

Each Connector lives inside our infrastructure, the same place where your workflow runs. The three things below are already part of it, working quietly in the background so you never have to think about them. Nothing to add, nothing to set up, nothing to worry about.

V8 Isolate01

Each Connector runs inside its own sealed environment.

Each Connector runs inside its own sealed V8 runtime — no access to your files, your system, or other servers. A Connector never sees past its own request.

Kill Switch02

One switch stops every agent. Instantly.

One action deactivates every Connector, revokes every token, and ends every session at once. AI Governance keeps the record.

FinOps per User03

Spending limits that pause instead of surprise.

Every user keeps their own connections and credentials, isolated from everyone else. Anything that would cross your spending limit is held for your approval, not billed.

Three controls, built into the layer your AI connects through.

Curated set · 4 capabilities

We ship only the actions that matter.

Capability set01 / 01

01-04

4 capabilities in this set.

Part of 4 available through Accelerator Selection Scoring.

01
Calculate application score
Calculates the primary weighted score for a single application
02
Evaluate cohort impact
Adjusts an application's score based on how well it fits the specific needs of the current cohort
03
Generate selection analytics
Provides a holistic view of an application's standing, including percentile and acceptance likelihood
04
Apply bias correction
Adjusts raw scores to mitigate the impact of individual interviewer tendencies

Real work

What teams actually run

Initial Application Screening

When you receive hundreds of applications, use the MCP to quickly calculate initial weighted scores and filter out low-fit candidates.

Post-Interview Review

After interviews, run the scores through the bias correction capability to ensure the final ranking isn't skewed by one person's opinion.

Cohort Planning

Use the cohort impact capability to ensure the next class of startups fills specific gaps in the market or industry.

Final Selection Report

Generate a full selection analytics report that includes percentile rankings and acceptance likelihood for the board meeting.

Automate a task

Put Accelerator Selection Scoring to work on one thing.

Step-by-step automations your AI runs through this Connector: the workflow, the prompts to start with, and the exact capabilities behind each move.

One connector, every AI

Accelerator Selection Scoring 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.

Building your own app? The connector is yours to use.

You don't need a client to put Accelerator Selection Scoring 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

840ms average. Fast in production.

Accelerator Selection Scoring is checked daily against the live service.

Daily averagePeak 1074ms

Oct 3Today

Fastest day: 710ms
Slowest day: 1074ms
14-day trend: Slowing+8%

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 Accelerator Selection Scoring, so you can see the experience inside your AI.

It does not authenticate your account with Accelerator Selection Scoring. Actions requiring credentials or live account data may not run until you activate the Connector and authorize the service.

Accelerator Selection Scoring Connector

You're all set. Choose your MCP client and follow the setup instructions.

Connector linkhttps://edge.vinkius.com/vk_preview_aqea14An4EhXYTHzQGWIoqNZxUeuxn7JbeRXLMij/mcp

Claude 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 — Accelerator Selection Scoring capabilities are ready to use.

Configuration · claude_desktop_config.jsonCopy

{
  "mcpServers": {
    "accelerator-selection-scoring-mcp": {
      "url": "https://edge.vinkius.com/vk_preview_aqea14An4EhXYTHzQGWIoqNZxUeuxn7JbeRXLMij/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? Set up Accelerator Selection Scoring in Claude and other AIs

See all the AI clients this connector works with ↑

Who it's for

Built for the work Accelerator Selection Scoring owners hand off.

This MCP is built for program managers and venture analysts who manage high volumes of applications. If your job involves ranking candidates or making selection decisions based on complex criteria, this capability saves you time and reduces human error.

01
Program Manager
Manages the scoring pipeline, ensuring every application is scored consistently across all criteria.
02
Venture Analyst
Needs to compare candidates against historical data and assess market fit before making recommendations.
03
Investment Committee Member
Requires objective, bias-corrected analytics to support final investment decisions.

FAQ

Questions Accelerator Selection Scoring owners ask.

01
Does this MCP account for human bias?
Yes. The MCP includes a specific capability to adjust raw scores. This process mitigates the impact of individual interviewer tendencies, ensuring your final ranking is more objective.
02
What kind of data does it need?
It requires structured data points, such as metrics (e.g., Team, Market, Product) and the corresponding weights you want to apply to those metrics.
03
Can I just get a simple score?
You can start by calculating the primary weighted score. However, for a complete picture, you should also run the score through the bias correction and cohort impact capabilities.
04
Is this just a scoring capability, or does it predict success?
It does both. It calculates a weighted score, but the final analytics capability provides acceptance probabilities and percentile rankings, giving you a prediction of standing.
05
How does the scoring model handle different criteria?
The calculate_application_score capability uses a weighted model where you assign decimal weights to Team, Market, Product, and Traction scores. The sum of these weights must equal 1.0.
06
Can I adjust for interviewers who are too lenient?
Yes, the apply_bias_correction capability adjusts raw scores toward the cohort average to ensure fairness across different interviewers.
07
How is cohort fit calculated?
The evaluate_cohort_impact capability takes a base score and a fit score to calculate a boost, which is then added to the base score (capped at 10) based on a specified weight.

Explore

More in Business

Connect Accelerator Selection Scoring to Claude, Cursor, ChatGPT & more

Your AI does the work. We keep it safe and sound.

Each Connector runs inside its own sealed environment.

One switch stops every agent. Instantly.

Spending limits that pause instead of surprise.

We ship only the actions that matter.

01-04

Calculate application score

Evaluate cohort impact

Generate selection analytics

Apply bias correction

What teams actually run

Initial Application Screening

Post-Interview Review

Cohort Planning

Final Selection Report

Building your own app? The connector is yours to use.

Accelerator Selection Scoring Connector

Claude Desktop

Program Manager

Venture Analyst

Investment Committee Member

Does this MCP account for human bias?

What kind of data does it need?

Can I just get a simple score?

Is this just a scoring capability, or does it predict success?

How does the scoring model handle different criteria?

Can I adjust for interviewers who are too lenient?

How is cohort fit calculated?

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