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Connect Accelerator Selection Committee Effective to your AI

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. Pinpoint weaknesses in your decision-making process.

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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.

ChatGPTClaudeCursorPerplexityGeminiMicrosoft CopilotRaycastMeta AI

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.

A futuristic MCP client docking bay
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 Selection Committee Effectiveness.

  1. 01

    Get calibration requirements

    Identify if the committee needs to adjust its selection thresholds or diversity levels

  2. 02

    Get committee reliability

    Determine the overall consistency and stability of the committee's decision-making process

  3. 03

    Get predictive performance

    Assess how well the committee's selections align with real-world or projected success

Real work

What teams actually run

01

Post-MBA Committee Review

After a cohort review, run the MCP to see if the committee's high agreement scores are actually predictive of career success.

02

Internal Promotion Panel Audit

Use this to audit internal promotion panels, ensuring their decisions are stable and not based on personal bias.

03

Venture Capital Due Diligence

Evaluate the selection committee that vetted a startup to ensure their criteria are robust and repeatable.

04

Academic Admissions Review

Determine if the admissions committee's criteria are consistently applied and accurately predict student retention.

Automate a task

Put Accelerator Selection Committee Effectiveness 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 Committee Effectiveness 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.

ClaudeClaudeChatGPTChatGPTGeminiGeminiPerplexityPerplexityGrokGrokMicrosoft CopilotMicrosoft CopilotCursorCursorVS CodeVS CodeWindsurfWindsurfJetBrainsJetBrainsClineClineLangChainLangChainVercel AI SDKVercel AI SDKLovableLovableZ.aiZ.aiRaycastRaycastQwen CodeQwen CodeKimi CodeKimi CodeLe ChatLe Chat

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

You don't need a client to put Accelerator Selection Committee Effectiveness 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

861ms average. Fast in production.

Accelerator Selection Committee Effectiveness is checked daily against the live service.

Daily averagePeak 1004ms
Oct 3Today
Fastest day
609ms
Slowest day
1004ms
14-day trend
Slowing+9%

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 Selection Committee Effectiveness, so you can see the experience inside your AI.

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

Accelerator Selection Committee Effectiveness Connector

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

Connector linkhttps://edge.vinkius.com/vk_preview_EiGgXuYPsKN0voxBRJD5wxxTsKJLONO4eRe6dbBb/mcp

Claude Desktop

Follow the steps below to connect in seconds.

  1. 1In Claude Desktop, open Settings → Connectors.
  2. 2Click “Add custom connector” and paste the connector link above as the remote MCP server URL.
  3. 3Click Add and start a new chat — Accelerator Selection Committee Effectiveness capabilities are ready to use.
Configuration · claude_desktop_config.jsonCopy
{
  "mcpServers": {
    "accelerator-selection-committee-effectiveness-mcp": {
      "url": "https://edge.vinkius.com/vk_preview_EiGgXuYPsKN0voxBRJD5wxxTsKJLONO4eRe6dbBb/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 Committee Effectiveness in Claude and other AIs

See all the AI clients this connector works with ↑

Who it's for

Built for the work Accelerator Selection Committee Effectiveness owners hand off.

This MCP is for organizations that rely on expert panels or committees to make high-stakes decisions, especially in talent acquisition or strategic planning. If your company needs to prove that its decision-making process is reliable, this is your capability.

  • 01

    HR Directors

    Use this to diagnose the effectiveness of hiring committees and selection panels.

  • 02

    Strategy Consultants

    Apply this to evaluate the rigor and bias in client-facing decision groups.

  • 03

    Program Managers

    Check the performance of internal review boards or accelerator selection groups.

FAQ

Questions Accelerator Selection Committee Effectiveness owners ask.

  • 01

    What kind of data does this MCP need to run?

    The MCP requires data related to the committee's decisions, including consensus levels, decision counts, and ideally, the real-world outcomes of the selected candidates.

  • 02

    Does this MCP tell me why the committee failed?

    It diagnoses the area of failure. For example, it can tell you if the issue is low reliability or a need for increased diversity, pointing you to the right strategic fix.

  • 03

    Is this capability only for hiring committees?

    No. It's designed for any group that makes high-stakes, critical decisions, including academic review boards, investment panels, or strategic planning groups.

  • 04

    How does 'predictive performance' work?

    It assesses how closely the committee's selection choices align with actual, measurable success metrics over time. It gives you a score of expected vs. actual results.

  • 05

    How is committee reliability calculated?

    Reliability is determined using get_committee_reliability, which analyzes the number of committee members, the reversal rate of decisions, and the level of inter-rater agreement.

  • 06

    Can this capability help prevent groupthink?

    Yes. By using get_calibration_requirements, the capability can identify if high agreement coupled with low accuracy indicates a need to increase diversity to combat groupthink.

  • 07

    What metrics are used for predictive performance?

    The get_predictive_performance capability evaluates decisions made, prediction accuracy, and decision speed to provide an efficiency rating and performance profile.

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