Use Accelerator Selection Bias Correction with your AI.
Connect your account once and let the AI you already use work with it, without building another integration. Know the program's real impact, not just the hype.
Developed, maintained, and hosted by Vinkius.
MCP VERIFIED · PRODUCTION READY · VINKIUS GUARANTEED
Waiting for input…
Works with modern AI clients that support MCP, including ChatGPT, Claude, Cursor, and more.
Complete set · 3 capabilities
The complete Accelerator Selection Bias Correction capability set.
These are the exact actions your AI can choose when you ask it to work with Accelerator Selection Bias Correction.
01-03
3 capabilities in this set.
Part of 3 available through Accelerator Selection Bias Correction.
- 01
Calculate bias magnitude
Calculate the magnitude of selection bias
- 02
Estimate true value add
Estimate the true value-add of the accelerator
- 03
Evaluate selection effectiveness
Evaluate how well selection criteria predict success
Observed, not estimated
748ms average. Fast in production.
Accelerator Selection Bias Correction is checked daily against the live service.
- Fastest day
- 667ms
- Slowest day
- 863ms
- 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 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.
https://edge.vinkius.com/vk_preview_J6hTHey2s2hm5A5AD3VAxmOAU5gxJa4FiXMPKEJD/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 — Accelerator Selection Bias Correction capabilities are ready to use.
{
"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
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.
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