
Connect AI Model Unit 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. Determine optimal pricing and profitability thresholds.
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.

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.
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.
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.
01-04
4 capabilities in this set.
Part of 4 available through AI Model Economics.
- 01
Check viability
Determine if your current unit economics meet the minimum profitability thresholds required for your business.
- 02
Get margin analysis
This capability calculates your current gross margin percentage based on specific pricing and cost scenarios.
- 03
Optimize pricing
Use this capability to suggest an adjusted price per call that hits a specific target gross margin.
- 04
Calculate tiered pricing
This function evaluates how volume discounts across different usage tiers affect your overall profitability.
Real work
What teams actually run
Pricing a New API Feature
Before launching a new model, run a margin analysis to ensure the expected compute and data costs still allow for a healthy profit.
Structuring Enterprise Deals
Use the MCP to model tiered pricing for large clients, making sure the volume discounts don't drop your overall profitability below acceptable levels.
Quarterly Health Check
Run a viability check to confirm that your current unit economics still meet the company's minimum profitability standards.
Optimizing for Growth
If you need a 75% margin, the MCP tells you exactly what price point you must charge per call to achieve that goal.
One connector, every AI
AI Model Economics 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.
Claude
ChatGPT
Gemini
Perplexity
Grok
Microsoft Copilot
Cursor
VS Code
Windsurf
JetBrains
Cline
LangChain
Vercel AI SDK
Lovable
Z.ai
Raycast
Qwen Code
Kimi Code
Le ChatBuilding your own app? The connector is yours to use.
You don't need a client to put AI Model Economics 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
925ms average. Fast in production.
AI Model Economics is checked daily against the live service.
- Fastest day
- 711ms
- Slowest day
- 1392ms
- 14-day trend
- Slowing+59%
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 AI Model Economics, so you can see the experience inside your AI.
It does not authenticate your account with AI Model Economics. Actions requiring credentials or live account data may not run until you activate the Connector and authorize the service.
AI Model Economics Connector
You're all set. Choose your MCP client and follow the setup instructions.
https://edge.vinkius.com/vk_preview_RJTBYNFd9vpy4XTBgFIRD1CJKMT7WCYJycIqY98F/mcpClaude 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 — AI Model Economics capabilities are ready to use.
{
"mcpServers": {
"ai-model-unit-economics-mcp": {
"url": "https://edge.vinkius.com/vk_preview_RJTBYNFd9vpy4XTBgFIRD1CJKMT7WCYJycIqY98F/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 AI Model Economics in Claude and other AIs
Who it's for
Built for the work AI Model Economics owners hand off.
This MCP is built for people running businesses that sell AI services via API. If you need to prove that your pricing model works, or if you're figuring out how to structure volume discounts, this capability gives you the numbers you need. It's for anyone who has to balance technical costs with market pricing.
- 01
Product Manager
Use it to test different pricing tiers and ensure the proposed cost structure remains profitable.
- 02
Financial Analyst
Run detailed margin analyses to compare current performance against required profitability benchmarks.
- 03
CTO
Determine the optimal pricing strategy for new model releases to maximize gross margin.
FAQ
Questions AI Model Economics owners ask.
- 01
What kind of data does this MCP use?
This MCP requires financial inputs like compute costs, data costs, support costs, and your desired selling price. It uses these variables to calculate margins and viability.
- 02
Can I use this for any kind of API service?
It's designed for AI model API services. It focuses on calculating the unit economics specific to selling digital, usage-based services.
- 03
Does it help with volume discounts?
Yes. You can use the MCP to evaluate how volume discounts across different usage tiers impact your total profitability, helping you structure better deals.
- 04
Is this capability just for calculating margins?
No. Beyond margin analysis, you can use it to check overall business viability against set thresholds and to suggest new prices to hit specific profit targets.
- 05
How do I calculate my profit per API call?
You can use the get_margin_analysis capability by providing the price per call and the individual costs for compute, data, and support.
- 06
Can this capability help with volume discount strategies?
Yes, the calculate_tiered_pricing capability evaluates how different usage tiers and volume discounts impact your total profitability.
- 07
How can I find the right price to reach a specific margin?
Use the optimize_pricing capability to suggest an adjusted price per call based on your current costs and target gross margin.
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Connect AI Model Economics to Claude, Cursor, ChatGPT & more
