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Connect Accelerator Selection Bias Correction 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. Know the program's real impact, not just the hype.

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.

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 Bias Correction.

  1. 01

    Calculate bias magnitude

    Calculate the magnitude of selection bias

  2. 02

    Estimate true value add

    Estimate the true value-add of the accelerator

  3. 03

    Evaluate selection effectiveness

    Evaluate how well selection criteria predict success

Real work

What teams actually run

01

Program Review

After a cohort finishes, run the MCP to determine if the program's value-add justifies the operational cost.

02

Intake Process Improvement

Use the bias capabilities to identify if your current application criteria are too loose or too restrictive.

03

Reporting to Stakeholders

Generate data showing the true, unbiased impact of the accelerator for investors and partners.

04

Benchmarking

Compare your program's selection bias magnitude against industry averages to spot weaknesses.

Automate a task

Put Accelerator Selection Bias Correction 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 Bias Correction 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 Bias Correction 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

852ms average. Fast in production.

Accelerator Selection Bias Correction is checked daily against the live service.

Daily averagePeak 991ms
Oct 3Today
Fastest day
686ms
Slowest day
991ms
14-day trend
Slowing+14%

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 Bias Correction, so you can see the experience inside your AI.

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

Accelerator Selection Bias Correction Connector

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

Connector linkhttps://edge.vinkius.com/vk_preview_J6hTHey2s2hm5A5AD3VAxmOAU5gxJa4FiXMPKEJD/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 Bias Correction capabilities are ready to use.
Configuration · claude_desktop_config.jsonCopy
{
  "mcpServers": {
    "accelerator-selection-bias-correction-mcp": {
      "url": "https://edge.vinkius.com/vk_preview_J6hTHey2s2hm5A5AD3VAxmOAU5gxJa4FiXMPKEJD/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 Bias Correction in Claude and other AIs

See all the AI clients this connector works with ↑

Who it's for

Built for the work Accelerator Selection Bias Correction owners hand off.

This MCP is built for program directors and venture capital teams who need hard data on their startup programs. If you're responsible for proving the ROI of an accelerator or refining an intake process, this is for you. You get metrics, not guesswork.

  • 01

    Program Manager

    Use this to understand if the program's curriculum or mentorship is genuinely moving the needle.

  • 02

    Venture Capital Analyst

    Run bias checks to ensure your investment decisions aren't just favoring already successful companies.

  • 03

    Startup Founder

    Understand the metrics used to evaluate your potential inclusion in a high-profile program.

FAQ

Questions Accelerator Selection Bias Correction owners ask.

  • 01

    What is selection bias in this context?

    Selection bias means that the companies accepted into the program might already be better than the companies rejected. This MCP helps you measure that gap so you know the program's real contribution.

  • 02

    Does this MCP tell me if my program is good?

    It gives you metrics to prove it. You can get estimates of the true value-add and see how well your selection criteria predict success. It's data, not a grade.

  • 03

    Do I need to provide raw data?

    Yes. The capabilities require data comparing accepted and rejected applicants to calculate the bias magnitude and other metrics.

  • 04

    What kind of data does it analyze?

    It analyzes performance metrics and success rates across different cohorts to determine statistical gaps and predictive power.

  • 05

    Can I use this for non-accelerator programs?

    The capabilities are designed for selection bias correction, so they work whenever you need to compare two distinct groups based on a selection process.

  • 06

    What is selection bias in an accelerator context?

    Selection bias occurs when the cohort of accepted companies is not a random sample, meaning they may have inherent qualities that lead to success regardless of the program's influence.

  • 07

    How do I calculate the actual impact of my program?

    You can use the estimate_true_value_add capability. It requires the outcomes of both accepted and rejected companies, along with the bias magnitude calculated via calculate_bias_magnitude.

  • 08

    Can I check if my selection criteria are working?

    Yes, the evaluate_selection_effectiveness capability measures the correlation between your selection metrics and the actual realized outcomes of the companies.

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