Does this MCP account for initial company strength?

Yes. The correlation analysis capability adjusts for company quality scores. This is important because it removes self-selection bias, meaning the results aren't just based on the best companies getting the most help.

What kind of data do I need to use this MCP?

You need data tracking mentorship hours, startup success metrics, and company quality scores. The capabilities are designed to process these types of inputs to give you a full picture.

Can I use this to prove that mentorship is worth the cost?

Absolutely. By running the calculate_mentor_roi capability, you get a concrete number that measures the value generated by the mentorship relative to the effort invested.

What is 'optimal mentorship intensity'?

It's the sweet spot for engagement. The find_optimal_intensity capability identifies the most efficient amount of time to spend with a startup before the returns start dropping off.

Is this just a simple correlation calculator?

No. It performs a sophisticated statistical relationship analysis. It goes beyond simple correlation by factoring in company quality scores to provide a much more accurate assessment of impact.

How does this capability handle self-selection bias?

The get_correlation_analysis capability uses company quality scores to adjust the correlation coefficient, ensuring that the impact of mentorship is not overstated due to high-quality startups naturally succeeding.

What is the purpose of finding optimal intensity?

The find_optimal_intensity capability identifies the point where adding more mentor hours yields diminishing returns, helping accelerators allocate resources efficiently.

Can I calculate the efficiency of my mentors?

Yes, you can use calculate_mentor_roi to determine the value generated per unit of mentor time and quality.

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Connect Accelerator Mentorship Analytics 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 the exact return on your mentorship investment.

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 Mentorship Analytics.

01
Get correlation analysis
Calculates the statistical relationship between mentorship efforts and startup success, adjusted by company quality scores to mitigate self-selection bias
02
Calculate mentor roi
Determines the value generated by mentorship relative to the effort invested
03
Find optimal intensity
Identifies the most efficient amount of mentorship time to achieve desired outcomes

Real work

What teams actually run

Evaluating Program Changes

You want to know if increasing mentor hours from 8 to 12 per month actually boosts success. Use the optimal intensity capability to find the breakpoint.

Pitching for Funding

You need to show investors that your program is efficient. Calculate the mentor ROI to prove the high value of the time invested.

Comparing Cohorts

You must prove that Cohort B outperformed Cohort A because of better mentorship. Use the correlation analysis to adjust for initial company quality differences.

Resource Allocation

You need to decide how many mentor hours to budget next quarter. The MCP helps you model the maximum effective time investment.

Automate a task

Put Accelerator Mentorship Analytics 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 Mentorship Analytics 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 Mentorship Analytics 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

891ms average. Fast in production.

Accelerator Mentorship Analytics is checked daily against the live service.

Daily averagePeak 1145ms

Oct 3Today

Fastest day: 640ms
Slowest day: 1145ms
14-day trend: Slowing+21%

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 Mentorship Analytics, so you can see the experience inside your AI.

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

Accelerator Mentorship Analytics Connector

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

Connector linkhttps://edge.vinkius.com/vk_preview_XwBv1fcwuTJ5H08XdC2irZCpmZ2DmoH3GVtR08vm/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 Mentorship Analytics capabilities are ready to use.

Configuration · claude_desktop_config.jsonCopy

{
  "mcpServers": {
    "accelerator-mentorship-analytics-mcp": {
      "url": "https://edge.vinkius.com/vk_preview_XwBv1fcwuTJ5H08XdC2irZCpmZ2DmoH3GVtR08vm/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 Mentorship Analytics in Claude and other AIs

See all the AI clients this connector works with ↑

Who it's for

Built for the work Accelerator Mentorship Analytics owners hand off.

This MCP is essential for program managers, venture capitalists, and accelerator leads. Anyone who needs to prove the measurable financial or operational impact of mentorship can use this capability. It moves the conversation from 'it feels like it works' to 'here are the numbers.'

01
Venture Capitalist
Use it to quantify the success rate of portfolio companies based on mentorship exposure.
02
Accelerator Program Manager
Determine the ideal mentorship schedule and prove the program's value to stakeholders.
03
Startup Founder
Analyze historical data to understand how mentorship time correlates with their own company's growth.

FAQ

Questions Accelerator Mentorship Analytics owners ask.

01
Does this MCP account for initial company strength?
Yes. The correlation analysis capability adjusts for company quality scores. This is important because it removes self-selection bias, meaning the results aren't just based on the best companies getting the most help.
02
What kind of data do I need to use this MCP?
You need data tracking mentorship hours, startup success metrics, and company quality scores. The capabilities are designed to process these types of inputs to give you a full picture.
03
Can I use this to prove that mentorship is worth the cost?
Absolutely. By running the calculate_mentor_roi capability, you get a concrete number that measures the value generated by the mentorship relative to the effort invested.
04
What is 'optimal mentorship intensity'?
It's the sweet spot for engagement. The find_optimal_intensity capability identifies the most efficient amount of time to spend with a startup before the returns start dropping off.
05
Is this just a simple correlation calculator?
No. It performs a sophisticated statistical relationship analysis. It goes beyond simple correlation by factoring in company quality scores to provide a much more accurate assessment of impact.
06
How does this capability handle self-selection bias?
The get_correlation_analysis capability uses company quality scores to adjust the correlation coefficient, ensuring that the impact of mentorship is not overstated due to high-quality startups naturally succeeding.
07
What is the purpose of finding optimal intensity?
The find_optimal_intensity capability identifies the point where adding more mentor hours yields diminishing returns, helping accelerators allocate resources efficiently.
08
Can I calculate the efficiency of my mentors?
Yes, you can use calculate_mentor_roi to determine the value generated per unit of mentor time and quality.

Explore

More in Business Intelligence

Connect Accelerator Mentorship Analytics 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

Get correlation analysis

Calculate mentor roi

Find optimal intensity

What teams actually run

Evaluating Program Changes

Pitching for Funding

Comparing Cohorts

Resource Allocation

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

Accelerator Mentorship Analytics Connector

Claude Desktop

Venture Capitalist

Accelerator Program Manager

Startup Founder

Does this MCP account for initial company strength?

What kind of data do I need to use this MCP?

Can I use this to prove that mentorship is worth the cost?

What is 'optimal mentorship intensity'?

Is this just a simple correlation calculator?

How does this capability handle self-selection bias?

What is the purpose of finding optimal intensity?

Can I calculate the efficiency of my mentors?

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