What is the difference between overall satisfaction and NPS?

Overall satisfaction gives you a single score of general happiness. NPS, however, measures loyalty by classifying founders into Promoters, Passives, and Detractors, giving a deeper view of advocacy.

Does this MCP tell me why founders are unhappy?

It pinpoints which modules are underperforming, like 'fundraising' or 'mentorship.' While it doesn't provide qualitative reasons, it directs your attention to the exact areas that need review.

What kind of data does the MCP need?

It requires raw survey data from your program's participants. This includes individual ratings and responses that the capabilities can process.

Can I use this for non-accelerator programs?

The capabilities are designed for measuring program satisfaction. You can adapt them to measure any structured educational program that uses survey feedback.

Vinkius hosts and manages this MCP, handling credentials securely so you don't have to worry about maintaining the connection or infrastructure.

How is the overall satisfaction score calculated?

The score is a weighted synthesis of module ratings and outcome satisfaction, which can be adjusted for response bias using calculate_overall_satisfaction.

Can I segment the results by cohort?

Yes, you can provide a segmentId to the calculate_overall_satisfaction capability to filter results for specific groups.

How does the system identify weak modules?

By using identify_improvement_areas, the system flags any module whose rating falls below your specified threshold.

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Connect Accelerator Program Satisfaction Engine 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. Get data-driven feedback to improve your curriculum.

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 Satisfaction Engine.

01
Calculate overall satisfaction
Determines the aggregate satisfaction level of the program
02
Compute nps
Calculates the Net Promoter Score to gauge program loyalty
03
Identify improvement areas
Pinpoints specific curriculum or operational modules that are underperforming

Real work

What teams actually run

End-of-Cycle Review

After a cohort finishes, run the MCP to get a final satisfaction score and identify the top three areas for next year's curriculum.

Mid-Program Adjustment

If early feedback shows low engagement, use the MCP to pinpoint which specific module needs immediate revision or replacement.

Stakeholder Reporting

Generate a formal report showing the NPS and overall satisfaction score to prove the program's value to investors.

Benchmarking Cohorts

Compare the satisfaction metrics of the current cohort against previous years to measure program growth.

Automate a task

Put Accelerator Satisfaction Engine 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 Satisfaction Engine 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 Satisfaction Engine 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

843ms average. Fast in production.

Accelerator Satisfaction Engine is checked daily against the live service.

Daily averagePeak 1223ms

Oct 3Today

Fastest day: 694ms
Slowest day: 1223ms
14-day trend: Slowing+16%

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 Satisfaction Engine, so you can see the experience inside your AI.

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

Accelerator Satisfaction Engine Connector

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

Connector linkhttps://edge.vinkius.com/vk_preview_HDGanGhpLna5KSfUVZZwmCUcPl60dWiQIZ5UgfKP/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 Satisfaction Engine capabilities are ready to use.

Configuration · claude_desktop_config.jsonCopy

{
  "mcpServers": {
    "accelerator-program-satisfaction-engine-mcp": {
      "url": "https://edge.vinkius.com/vk_preview_HDGanGhpLna5KSfUVZZwmCUcPl60dWiQIZ5UgfKP/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 Satisfaction Engine in Claude and other AIs

See all the AI clients this connector works with ↑

Who it's for

Built for the work Accelerator Satisfaction Engine owners hand off.

Program Directors and Curriculum Leads use this MCP to turn raw survey data into actionable insights. If you're responsible for the success and continuous improvement of an accelerator cohort, this capability gives you the metrics you need to prove value and make changes.

01
Program Director
Needs to track cohort health and prove the program's effectiveness to stakeholders.
02
Curriculum Lead
Uses the data to revise specific modules, ensuring the content meets founder needs.
03
Startup Advisor
Analyzes feedback to identify systemic issues within the program structure.

FAQ

Questions Accelerator Satisfaction Engine owners ask.

01
What is the difference between overall satisfaction and NPS?
Overall satisfaction gives you a single score of general happiness. NPS, however, measures loyalty by classifying founders into Promoters, Passives, and Detractors, giving a deeper view of advocacy.
02
Does this MCP tell me why founders are unhappy?
It pinpoints which modules are underperforming, like 'fundraising' or 'mentorship.' While it doesn't provide qualitative reasons, it directs your attention to the exact areas that need review.
03
What kind of data does the MCP need?
It requires raw survey data from your program's participants. This includes individual ratings and responses that the capabilities can process.
04
Can I use this for non-accelerator programs?
The capabilities are designed for measuring program satisfaction. You can adapt them to measure any structured educational program that uses survey feedback.
05
Is this MCP secure?
Vinkius hosts and manages this MCP, handling credentials securely so you don't have to worry about maintaining the connection or infrastructure.
06
How is the overall satisfaction score calculated?
The score is a weighted synthesis of module ratings and outcome satisfaction, which can be adjusted for response bias using calculate_overall_satisfaction.
07
Can I segment the results by cohort?
Yes, you can provide a segmentId to the calculate_overall_satisfaction capability to filter results for specific groups.
08
How does the system identify weak modules?
By using identify_improvement_areas, the system flags any module whose rating falls below your specified threshold.

Explore

More in Education

Connect Accelerator Satisfaction Engine 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 overall satisfaction

Compute nps

Identify improvement areas

What teams actually run

End-of-Cycle Review

Mid-Program Adjustment

Stakeholder Reporting

Benchmarking Cohorts

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

Accelerator Satisfaction Engine Connector

Claude Desktop

Program Director

Curriculum Lead

Startup Advisor

What is the difference between overall satisfaction and NPS?

Does this MCP tell me why founders are unhappy?

What kind of data does the MCP need?

Can I use this for non-accelerator programs?

Is this MCP secure?

How is the overall satisfaction score calculated?

Can I segment the results by cohort?

How does the system identify weak modules?

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