Is this MCP designed to eliminate all bias?

No. It's designed to measure and compensate for known biases. It provides the data and mathematical adjustments needed to mitigate interviewer bias, but it requires you to input the data and context.

What kind of data does this MCP need?

It needs raw scoring data from multiple interviewers and, ideally, historical performance metrics or variance data to run accurate checks.

Can I use this for non-hiring evaluations?

Yes. The capabilities focus on scoring consistency and bias correction, making them useful for any high-stakes evaluation process, like project reviews or academic grading.

Does this MCP require specific software?

No. You connect it through your existing MCP-compatible client, such as Claude, Cursor, or Windsurf. Vinkius handles the hosting and connection.

How does this capability help reduce hiring bias?

It uses calculate_score_adjustments to apply mathematical corrections to scores from lenient or harsh interviewers, ensuring a more neutral evaluation.

When should we run a calibration session?

You can use evaluate_calibration_needs to determine if current score variance requires a session based on your interviewer training levels.

What is scoring consistency?

It is a measure of how closely multiple interviewers agree on the same candidate, which can be calculated using get_scoring_consistency.

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Connect Accelerator Interview 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. Ensure every candidate evaluation is fair and objective.

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 · 3 capabilities

We ship only the actions that matter.

Capability set01 / 01

01-03

3 capabilities in this set.

Part of 3 available through Accelerator Interview Scoring.

01
Calculate score adjustments
Answers "How should we adjust individual scores to compensate for interviewer bias?"
02
Evaluate calibration needs
Answers "Which interviewers or candidates require a calibration session to align standards?"
03
Get scoring consistency
Answers "How much do our interviewers agree on candidate evaluations?"

Real work

What teams actually run

Hiring Cycle Audit

A company runs a hiring cycle with five different interviewers. You use this MCP to check if the scoring consistency is high enough to trust the results.

Accelerator Program Review

You need to know if the scoring for the final pitch round is biased. You run the MCP to calculate score adjustments based on historical performance.

Team Training Validation

After training a new group of managers, you use the MCP to see if they need a calibration session before they start scoring real candidates.

Portfolio Review

You manage multiple project teams and need to ensure that the evaluation criteria are applied uniformly across all projects.

Automate a task

Put Accelerator Interview 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 Interview 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 Interview 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

831ms average. Fast in production.

Accelerator Interview Scoring is checked daily against the live service.

Daily averagePeak 1023ms

Oct 3Today

Fastest day: 673ms
Slowest day: 1023ms
14-day trend: Slowing+12%

Connect your client

One URL. Every client.

Activate the Connector, copy your link, and paste it into the client you already use. 3 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 Interview Scoring, so you can see the experience inside your AI.

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

Accelerator Interview Scoring Connector

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

Connector linkhttps://edge.vinkius.com/vk_preview_nMVY83qq4qpDJYgBhxfvvwYmcqHPqbIM9auZ1Clt/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 Interview Scoring capabilities are ready to use.

Configuration · claude_desktop_config.jsonCopy

{
  "mcpServers": {
    "accelerator-interview-scoring-mcp": {
      "url": "https://edge.vinkius.com/vk_preview_nMVY83qq4qpDJYgBhxfvvwYmcqHPqbIM9auZ1Clt/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 Interview Scoring in Claude and other AIs

See all the AI clients this connector works with ↑

Who it's for

Built for the work Accelerator Interview Scoring owners hand off.

This MCP is essential for anyone managing high-stakes evaluation processes. If your organization relies on multiple people scoring candidates or projects, you need this capability. It moves your process from subjective opinion to objective, measurable data.

01
HR Operations Manager
Use it to audit hiring cycles and ensure all scoring processes meet internal fairness standards.
02
Talent Acquisition Lead
Run it to check the reliability of your interview panels before making final hiring recommendations.
03
Program Director
It helps validate the quality of evaluation data collected during accelerator or program milestones.

FAQ

Questions Accelerator Interview Scoring owners ask.

01
Is this MCP designed to eliminate all bias?
No. It's designed to measure and compensate for known biases. It provides the data and mathematical adjustments needed to mitigate interviewer bias, but it requires you to input the data and context.
02
What kind of data does this MCP need?
It needs raw scoring data from multiple interviewers and, ideally, historical performance metrics or variance data to run accurate checks.
03
Can I use this for non-hiring evaluations?
Yes. The capabilities focus on scoring consistency and bias correction, making them useful for any high-stakes evaluation process, like project reviews or academic grading.
04
Does this MCP require specific software?
No. You connect it through your existing MCP-compatible client, such as Claude, Cursor, or Windsurf. Vinkius handles the hosting and connection.
05
How does this capability help reduce hiring bias?
It uses calculate_score_adjustments to apply mathematical corrections to scores from lenient or harsh interviewers, ensuring a more neutral evaluation.
06
When should we run a calibration session?
You can use evaluate_calibration_needs to determine if current score variance requires a session based on your interviewer training levels.
07
What is scoring consistency?
It is a measure of how closely multiple interviewers agree on the same candidate, which can be calculated using get_scoring_consistency.

Explore

More in Productivity

Connect Accelerator Interview 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.

01-03

Calculate score adjustments

Evaluate calibration needs

Get scoring consistency

What teams actually run

Hiring Cycle Audit

Accelerator Program Review

Team Training Validation

Portfolio Review

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

Accelerator Interview Scoring Connector

Claude Desktop

HR Operations Manager

Talent Acquisition Lead

Program Director

Is this MCP designed to eliminate all bias?

What kind of data does this MCP need?

Can I use this for non-hiring evaluations?

Does this MCP require specific software?

How does this capability help reduce hiring bias?

When should we run a calibration session?

What is scoring consistency?

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