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Connect Accelerator Acceptance 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. Determine cohort viability and applicant success probability.

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 Analytics Engine.

  1. 01

    Analyze competitive positioning

    This capability determines how an applicant's specific quality tier affects their chances of acceptance against the overall pool.

  2. 02

    Evaluate diversity alignment

    Use this to assess if the current applicant pool and available capacity allow you to meet specific diversity targets for the cohort.

  3. 03

    Get acceptance metrics

    Run this function to calculate the primary acceptance statistics and factor in the impact of referral weighting on capacity.

Real work

What teams actually run

01

Intake Review

Before accepting a new cohort, you run the metrics to see if the overall acceptance rate is sustainable given your available spots.

02

Diversity Gap Analysis

You check the diversity alignment to see if you're falling short of a required founder demographic, allowing you to adjust outreach.

03

Tier Selection Strategy

You analyze competitive positioning to decide if you need to adjust your minimum quality requirements for applicants.

04

Referral Impact Assessment

You calculate the effective capacity, understanding exactly how many spots are reserved or influenced by strategic referrals.

Automate a task

Put Accelerator Analytics 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 Analytics 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 Analytics 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

880ms average. Fast in production.

Accelerator Analytics Engine is checked daily against the live service.

Daily averagePeak 1044ms
Oct 3Today
Fastest day
644ms
Slowest day
1044ms
14-day trend
Improving-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 Analytics Engine, so you can see the experience inside your AI.

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

Accelerator Analytics Engine Connector

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

Connector linkhttps://edge.vinkius.com/vk_preview_wYJDajtH9GeGtCIGxFdOc9FdE4efRvKvU1vJXL8U/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 Analytics Engine capabilities are ready to use.
Configuration · claude_desktop_config.jsonCopy
{
  "mcpServers": {
    "accelerator-acceptance-analytics-mcp": {
      "url": "https://edge.vinkius.com/vk_preview_wYJDajtH9GeGtCIGxFdOc9FdE4efRvKvU1vJXL8U/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 Analytics Engine in Claude and other AIs

See all the AI clients this connector works with ↑

Who it's for

Built for the work Accelerator Analytics Engine owners hand off.

This MCP is built for program managers and venture capital teams who run selective accelerator programs. If you need to move beyond gut feeling and base your intake decisions on hard data, this is for you. It gives you the metrics to manage risk and ensure your cohort meets strategic goals.

  • 01

    Program Director

    Use it to calculate acceptance probabilities and manage overall program capacity.

  • 02

    Venture Capital Analyst

    Run it to evaluate how specific applicant quality tiers perform against the overall pool.

  • 03

    Diversity Officer

    Check it to ensure the applicant pool meets required demographic or sector-based representation targets.

FAQ

Questions Accelerator Analytics Engine owners ask.

  • 01

    What kind of data does this MCP need to run?

    The MCP requires data on the total number of applicants, the available spots, and specific metrics about the applicants, such as their quality tier and demographic information.

  • 02

    Does this MCP account for referrals?

    Yes. It calculates the impact of referral weighting, which adjusts the effective capacity and helps you understand the true acceptance rate.

  • 03

    Can I use this for any type of program?

    This MCP is specialized for accelerator programs. It models acceptance rates and cohort composition based on industry best practices for that field.

  • 04

    Is this MCP difficult to set up?

    No. Since it's hosted on Vinkius, you connect your AI client once, and the MCP is ready to use immediately. You just need to provide the parameters in your prompt.

  • 05

    How does the referral multiplier affect acceptance?

    The referral multiplier increases the priority of referred applicants, which effectively reduces the remaining spots available for non-referred applicants when using get_acceptance_metrics.

  • 06

    Can I check if my cohort will meet diversity targets?

    Yes, you can use the evaluate_diversity_alignment capability to assess if the current applicant pool and available spots allow for meeting your specific diversity goals.

  • 07

    How is competitive positioning calculated?

    Competitive positioning is determined via analyze_competitive_positioning, which calculates a score based on the availability of spots relative to the volume of applicants in higher-ranked tiers.

Connect Accelerator Analytics Engine to Claude, Cursor, ChatGPT & more