What kind of data does this MCP analyze?

It analyzes financial data, including budgets, and operational data, such as human capital (staff and mentors), facility constraints (desks), and curriculum hours.

Can I use this if I don't know my exact cost per startup?

Yes. You can use the MCP to calculate the core performance metrics, giving you a clear cost per startup figure based on your provided inputs.

Does this help with staffing issues?

The MCP checks human capital constraints. It helps you validate if the number of startups you plan to support can be operationally handled by your existing staff and mentors.

Is this capability only for large accelerators?

No. It works for any program needing to assess resource allocation. You can use it to check feasibility regardless of the program's current size.

How can I check if my accelerator has enough desk space?

You can use the validate_capacity_limits capability to verify if your current staff, mentors, and desk space can support your target number of startups.

What metrics does the efficiency capability provide?

The get_program_efficiency capability returns the cost per startup, resource utilization percentage, and a composite efficiency score.

Can I simulate different budget levels?

Yes, use simulate_budget_scenarios to predict how changes in budget or startup counts affect your cost per startup.

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Connect Accelerator Resource Allocation 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. Know exactly if your cohort fits your resources.

Ask AI about this Connector

Developed, maintained, and hosted by Vinkius.

MCP VERIFIED · PRODUCTION READY · VINKIUS GUARANTEED

Waiting for input…

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 Resource Allocation.

01
Validate capacity limits
This capability checks if the number of startups you want to support can be physically and operationally handled by your current resources.
02
Get program efficiency
Use this to calculate the core performance metrics for a specific accelerator configuration, giving you a quick efficiency score.
03
Simulate budget scenarios
Predict how changing the overall budget or the startup count affects the cost per startup, helping you plan for future funding rounds.

Real work

What teams actually run

Scaling Up a Program

You plan to double your cohort size next year. Use the MCP to check if your current facility and staff count can handle the increase.

Budget Review

The finance team needs to justify a budget cut. Run a simulation to show how reducing the budget affects the cost per startup.

Feasibility Check

Before signing a lease, you need to know if the space can support 50 startups. The MCP validates capacity limits against the available desks.

Benchmarking

You want to compare your program's efficiency against industry standards by calculating core performance metrics.

Automate a task

Put Accelerator Resource Allocation 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 Resource Allocation 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 Resource Allocation 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

827ms average. Fast in production.

Accelerator Resource Allocation is checked daily against the live service.

Daily averagePeak 1100ms

Oct 3Today

Fastest day: 685ms
Slowest day: 1100ms
14-day trend: Slowing+24%

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 Resource Allocation, so you can see the experience inside your AI.

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

Accelerator Resource Allocation Connector

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

Connector linkhttps://edge.vinkius.com/vk_preview_h1pplzi5jovrfnCwFfRSUDyh92A3FnVJ0Z3gVDa3/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 Resource Allocation capabilities are ready to use.

Configuration · claude_desktop_config.jsonCopy

{
  "mcpServers": {
    "accelerator-resource-allocation-mcp": {
      "url": "https://edge.vinkius.com/vk_preview_h1pplzi5jovrfnCwFfRSUDyh92A3FnVJ0Z3gVDa3/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 Resource Allocation in Claude and other AIs

See all the AI clients this connector works with ↑

Who it's for

Built for the work Accelerator Resource Allocation owners hand off.

This MCP is essential for program directors, finance managers, and venture analysts. If you're responsible for the financial viability of a startup accelerator, this capability gives you the data you need to prove feasibility and optimize spending.

01
Program Director
Use it to ensure the program structure supports the intended number of founders without exceeding physical capacity.
02
Finance Manager
Run simulations to predict how different funding levels impact the cost per startup.
03
Venture Analyst
Evaluate the efficiency of competitor or internal programs by calculating key performance metrics.

FAQ

Questions Accelerator Resource Allocation owners ask.

01
What kind of data does this MCP analyze?
It analyzes financial data, including budgets, and operational data, such as human capital (staff and mentors), facility constraints (desks), and curriculum hours.
02
Can I use this if I don't know my exact cost per startup?
Yes. You can use the MCP to calculate the core performance metrics, giving you a clear cost per startup figure based on your provided inputs.
03
Does this help with staffing issues?
The MCP checks human capital constraints. It helps you validate if the number of startups you plan to support can be operationally handled by your existing staff and mentors.
04
Is this capability only for large accelerators?
No. It works for any program needing to assess resource allocation. You can use it to check feasibility regardless of the program's current size.
05
How can I check if my accelerator has enough desk space?
You can use the validate_capacity_limits capability to verify if your current staff, mentors, and desk space can support your target number of startups.
06
What metrics does the efficiency capability provide?
The get_program_efficiency capability returns the cost per startup, resource utilization percentage, and a composite efficiency score.
07
Can I simulate different budget levels?
Yes, use simulate_budget_scenarios to predict how changes in budget or startup counts affect your cost per startup.

Explore

More in Finance

Connect Accelerator Resource Allocation 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

Validate capacity limits

Get program efficiency

Simulate budget scenarios

What teams actually run

Scaling Up a Program

Budget Review

Feasibility Check

Benchmarking

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

Accelerator Resource Allocation Connector

Claude Desktop

Program Director

Finance Manager

Venture Analyst

What kind of data does this MCP analyze?

Can I use this if I don't know my exact cost per startup?

Does this help with staffing issues?

Is this capability only for large accelerators?

How can I check if my accelerator has enough desk space?

What metrics does the efficiency capability provide?

Can I simulate different budget levels?

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