How does this MCP handle reasoning costs?

It specifically accounts for the extra compute used during chain-of-thought reasoning steps, not just the raw token count.

Can I use this with Cursor or Windsurf?

Yes, this MCP is compatible with any MCP-compatible client, including Cursor, Windsurf, and VS Code.

Does this MCP host my data?

No, Vinkius hosts the MCP and manages the connection, but the financial calculations happen through the capabilities you invoke.

What is the difference between this and a standard calculator?

This MCP is built specifically for the economics of reasoning models, including scaling efficiency and margin optimization for LLM workloads.

Do I need to set up my own infrastructure to use this?

No, Vinkius hosts and manages the MCP for you. You just connect your client and start working.

How do I calculate the cost of a single reasoning query?

You can use the calculate_query_cost capability by providing the number of reasoning steps, the compute cost per step, and the total duration of the query.

Can I find the ideal price for a specific profit margin?

Yes, the optimize_pricing_structure capability suggests a target price to achieve your desired profit margin based on the internal cost.

How does the capability handle scaling costs?

The evaluate_scaling_efficiency capability predicts how costs change as reasoning depth increases, accounting for hardware saturation and complexity factors.

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Connect Reasoning Model Economics to ChatGPT and Claude

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. Model the costs and margins of chain-of-thought AI.

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 · 4 capabilities

We ship only the actions that matter.

Capability set01 / 01

01-04

4 capabilities in this set.

Part of 4 available through Reasoning Economics Engine.

01
Evaluate scaling efficiency
This capability predicts how your costs will shift as you increase model complexity. It helps you see if your current architecture can scale profitably.
02
Optimize pricing structure
This capability suggests a target price based on your desired profit margin. It helps you set rates that protect your bottom line.
03
Analyze profit margin
This capability evaluates the financial health of your current pricing setup. It tells you if your current rates are actually making money.
04
Calculate query cost
This capability determines the total cost to the provider for a single user query. It accounts for the compute required for the specific task.

Real work

What teams actually run

Pricing New Features

Determine how much to charge for a new reasoning-heavy feature before you launch it.

Budget Forecasting

Model how your monthly compute bill will change as your user base grows.

Margin Protection

Check if a sudden increase in model complexity will turn your profit into a loss.

Competitor Benchmarking

Model your own costs to see if you can compete on price with other providers.

One connector, every AI

Reasoning Economics 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 Reasoning Economics 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

908ms average. Fast in production.

Reasoning Economics Engine is checked daily against the live service.

Daily averagePeak 1111ms

Oct 3Today

Fastest day: 726ms
Slowest day: 1111ms
14-day trend: Slowing+17%

Connect your client

One URL. Every client.

Activate the Connector, copy your link, and paste it into the client you already use. 4 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 Reasoning Economics Engine, so you can see the experience inside your AI.

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

Reasoning Economics Engine Connector

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

Connector linkhttps://edge.vinkius.com/vk_preview_k9z2bEYuzym8Oq1n6MSQF4BMRrQUChFBfJB0FlNV/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 — Reasoning Economics Engine capabilities are ready to use.

Configuration · claude_desktop_config.jsonCopy

{
  "mcpServers": {
    "reasoning-model-economics-mcp": {
      "url": "https://edge.vinkius.com/vk_preview_k9z2bEYuzym8Oq1n6MSQF4BMRrQUChFBfJB0FlNV/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 Reasoning Economics Engine in Claude and other AIs

See all the AI clients this connector works with ↑

Who it's for

Built for the work Reasoning Economics Engine owners hand off.

This MCP is for people building and selling AI-powered software. It's for those who need to move from guesswork to precise financial modeling.

01
AI Product Managers
They hand off cost-to-serve data to determine product viability.
02
FinOps Engineers
They use it to monitor and predict cloud spend for LLM workloads.
03
SaaS Founders
They use it to set subscription or usage-based pricing models.

FAQ

Questions Reasoning Economics Engine owners ask.

01
How does this MCP handle reasoning costs?
It specifically accounts for the extra compute used during chain-of-thought reasoning steps, not just the raw token count.
02
Can I use this with Cursor or Windsurf?
Yes, this MCP is compatible with any MCP-compatible client, including Cursor, Windsurf, and VS Code.
03
Does this MCP host my data?
No, Vinkius hosts the MCP and manages the connection, but the financial calculations happen through the capabilities you invoke.
04
What is the difference between this and a standard calculator?
This MCP is built specifically for the economics of reasoning models, including scaling efficiency and margin optimization for LLM workloads.
05
Do I need to set up my own infrastructure to use this?
No, Vinkius hosts and manages the MCP for you. You just connect your client and start working.
06
How do I calculate the cost of a single reasoning query?
You can use the calculate_query_cost capability by providing the number of reasoning steps, the compute cost per step, and the total duration of the query.
07
Can I find the ideal price for a specific profit margin?
Yes, the optimize_pricing_structure capability suggests a target price to achieve your desired profit margin based on the internal cost.
08
How does the capability handle scaling costs?
The evaluate_scaling_efficiency capability predicts how costs change as reasoning depth increases, accounting for hardware saturation and complexity factors.

Explore

More in Finance

Connect Reasoning Economics 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.

01-04

Evaluate scaling efficiency

Optimize pricing structure

Analyze profit margin

Calculate query cost

What teams actually run

Pricing New Features

Budget Forecasting

Margin Protection

Competitor Benchmarking

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

Reasoning Economics Engine Connector

Claude Desktop

AI Product Managers

FinOps Engineers

SaaS Founders

How does this MCP handle reasoning costs?

Can I use this with Cursor or Windsurf?

Does this MCP host my data?

What is the difference between this and a standard calculator?

Do I need to set up my own infrastructure to use this?

How do I calculate the cost of a single reasoning query?

Can I find the ideal price for a specific profit margin?

How does the capability handle scaling costs?

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