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.

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.

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.

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.

How does the capability calculate support costs?

The get_support_economics capability calculates the total cost by multiplying the total monthly mentor hours used by the hourly mentor rate, then divides that by the number of alumni.

Can I check if my support plan is feasible?

Yes, you can use validate_resource_capacity to compare requested support hours against your available mentor hour pool to identify any deficits or excess.

How are support tiers assigned?

Tiers are assigned via recommend_support_tiers, which prioritizes alumni based on how recently they graduated and their current engagement level.

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Connect Accelerator Post Program Support 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 the true cost and feasibility of your program's support structure.

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 Support Engine.

01
Recommend support tiers
Assigns specific service tiers to alumni based on their graduation recency and engagement levels
02
Validate resource capacity
Checks if the requested support level for a specific subset of alumni is mathematically feasible
03
Get support economics
Calculates the total financial cost per alumnus and the overall resource distribution

Real work

What teams actually run

Planning the next cohort

Before launching a new program, run the MCP to model the expected financial cost and resource drain on your existing alumni base.

Auditing resource usage

If a department requests a large amount of mentor time, use the MCP to immediately check if that demand exceeds your available capacity.

Revising support programs

When changing support offerings, use the MCP to calculate the new cost per person and see how it affects your overall budget.

Segmenting alumni support

Need to differentiate support? Use the MCP to automatically recommend service tiers based on alumni engagement data.

Automate a task

Put Accelerator Support 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 Support 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 Support 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

850ms average. Fast in production.

Accelerator Support Engine is checked daily against the live service.

Daily averagePeak 1120ms

Oct 3Today

Fastest day: 685ms
Slowest day: 1120ms
14-day trend: Slowing+26%

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.

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 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

Guided setup for Claude? Set up Accelerator Support Engine in Claude and other AIs

See all the AI clients this connector works with ↑

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.
05
How does the capability calculate support costs?
The get_support_economics capability calculates the total cost by multiplying the total monthly mentor hours used by the hourly mentor rate, then divides that by the number of alumni.
06
Can I check if my support plan is feasible?
Yes, you can use validate_resource_capacity to compare requested support hours against your available mentor hour pool to identify any deficits or excess.
07
How are support tiers assigned?
Tiers are assigned via recommend_support_tiers, which prioritizes alumni based on how recently they graduated and their current engagement level.

Explore

More in Business Intelligence

Connect Accelerator Support 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

Recommend support tiers

Validate resource capacity

Get support economics

What teams actually run

Planning the next cohort

Auditing resource usage

Revising support programs

Segmenting alumni support

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

Accelerator Support Engine Connector

Claude Desktop

Program Director

Alumni Relations Manager

Finance Analyst

What kind of data does this MCP need?

Can I use this to track my budget?

Does this MCP guarantee I have enough resources?

Is this only for tech accelerators?

How does the capability calculate support costs?

Can I check if my support plan is feasible?

How are support tiers assigned?

Accelerator Economics Modeler AI Connector

Accelerator Resource Allocation AI Connector

Accelerator & Incubator Economics Model AI Connector

Accelerator Pre-Accelerator Economics AI Connector

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