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ClaudeChatGPTPerplexityGeminiMicrosoft CopilotRaycastMeta AIGrokZ.aiQwenKimi
DeepSeekMistralCursorVS CodeWindsurfJetBrainsClineLovableVercel AI SDKLangChain

Use Accelerator Support Engine with your AI.

Connect your account once and let the AI you already use work with it, without building another integration. Determine the true cost and feasibility of your program's support structure.

Included with plan

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

Complete set · 3 capabilities

The complete Accelerator Support Engine capability set.

These are the exact actions your AI can choose when you ask it to work with Accelerator Support Engine.

Capability set01 / 01

01-03

3 capabilities in this set.

Part of 3 available through Accelerator Support Engine.

  1. 01

    Get support economics

    Calculates the total financial cost per alumnus and the overall resource distribution

  2. 02

    Recommend support tiers

    Assigns specific service tiers to alumni based on their graduation recency and engagement levels

  3. 03

    Validate resource capacity

    Checks if the requested support level for a specific subset of alumni is mathematically feasible

Observed, not estimated

798ms average. Fast in production.

Accelerator Support Engine is checked daily against the live service.

Daily averagePeak 1095ms
Aug 24Today
Fastest day
692ms
Slowest day
1095ms
14-day trend
Improving-18%

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

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

Accelerator Support Engine Connector

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

Connector linkhttps://edge.vinkius.com/vk_preview_CmEmJ6iBvhdiimRrzc0t1BQFFJngPtQ0wDRTRHlP/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 Support Engine capabilities are ready to use.
Configuration · claude_desktop_config.jsonCopy
{
  "mcpServers": {
    "accelerator-post-program-support-mcp": {
      "url": "https://edge.vinkius.com/vk_preview_CmEmJ6iBvhdiimRrzc0t1BQFFJngPtQ0wDRTRHlP/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 Support Engine owners hand off.

This MCP is built for program directors, alumni relations managers, and business intelligence analysts. If your job involves tracking the financial health of your alumni network or allocating limited resources, this capability is for you. It lets your AI agent handle the complex math so you can focus on strategy.

  • 01

    Program Director

    Use it to model the overall financial impact of support services and plan for future resource needs.

  • 02

    Alumni Relations Manager

    Run reports to assign support tiers automatically, ensuring every alumnus gets the right level of help.

  • 03

    Finance Analyst

    Determine the true cost per alumnus and validate if proposed support levels are financially feasible.

FAQ

Questions Accelerator Support Engine owners ask.

  • 01

    What kind of data does this MCP need?

    The MCP requires data points related to alumni status, including graduation recency, current engagement levels, and resource metrics like available mentor hours. You feed this data to your AI agent in the prompt.

  • 02

    Can I use this to track my budget?

    Yes. You can use the MCP to calculate the total financial cost per alumnus and the overall resource distribution, helping you keep a tight grip on your budget.

  • 03

    Does this MCP guarantee I have enough resources?

    No, it doesn't guarantee it, but it checks feasibility. The MCP uses the validate_resource_capacity capability to tell you if a requested support level is mathematically possible given your constraints.

  • 04

    Is this only for tech accelerators?

    No. While it was built for accelerators, the economic modeling framework applies to any program that tracks alumni support and resource allocation.

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