
Connect AI Model Distribution Economics 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 most profitable distribution mix for your models.
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 Distribution Economics.
- 01
Optimize distribution mix
Finds the ideal mix of distribution channels to maximize your total profit.
- 02
Compare channel performance
Compares the profitability and efficiency of multiple distribution channels side-by-side.
- 03
Analyze channel economics
Calculates the fundamental cost and margin metrics for a single, specific distribution channel.
- 04
Validate model parameters
Checks your economic variables to make sure they are logically consistent for accurate modeling.
Real work
What teams actually run
Pricing Strategy Review
You want to know if raising the price in the enterprise channel is worth the drop in volume. Use the MCP to model the resulting margin change.
Channel Partner Selection
You are choosing between a marketplace and a direct sales team. Run a comparison to see which channel yields higher net margins.
Resource Budgeting
You have a fixed budget and need to allocate it between marketing and sales. Use the optimization capability to find the best resource mix.
New Market Entry
Before launching in a new country, you need to model the local fees and costs. Use the MCP to calculate the expected CPA and margin.
One connector, every AI
AI Model Distribution 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 Distribution 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
895ms average. Fast in production.
AI Model Distribution Economics is checked daily against the live service.
- Fastest day
- 715ms
- Slowest day
- 963ms
- 14-day trend
- Stable-2%
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 Distribution Economics, so you can see the experience inside your AI.
It does not authenticate your account with AI Model Distribution Economics. Actions requiring credentials or live account data may not run until you activate the Connector and authorize the service.
AI Model Distribution Economics Connector
You're all set. Choose your MCP client and follow the setup instructions.
https://edge.vinkius.com/vk_preview_VN3kIQUdji6otzaZ72TA9yTHzoy6M5YgOyhIIppU/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 Distribution Economics capabilities are ready to use.
{
"mcpServers": {
"ai-model-distribution-economics-mcp": {
"url": "https://edge.vinkius.com/vk_preview_VN3kIQUdji6otzaZ72TA9yTHzoy6M5YgOyhIIppU/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 Distribution Economics in Claude and other AIs
Who it's for
Built for the work AI Model Distribution Economics owners hand off.
This MCP is essential for product managers, financial analysts, and business strategists who need to prove the commercial viability of their AI models. If you're building a product that relies on multiple sales channels, this capability gives you the hard numbers you need to secure funding or adjust your pricing.
- 01
Product Manager
Determines which distribution channels should receive the most development focus.
- 02
Financial Analyst
Calculates detailed cost structures and net margins for investor reports.
- 03
Business Strategist
Models optimal resource allocation to maximize total profit across different markets.
FAQ
Questions AI Model Distribution Economics owners ask.
- 01
What kind of data does this MCP analyze?
This MCP analyzes economic variables related to AI model distribution, including revenue, marketplace fees, partner shares, and direct sales costs. It focuses on calculating CPA and net margins.
- 02
Can I compare multiple sales channels?
Yes. You can use the compare_channel_performance capability to rank different distribution routes, helping you see which channel is the most efficient.
- 03
Does this capability help with resource allocation?
The optimize_distribution_mix capability helps you find the ideal allocation of resources to maximize your total profit across all channels.
- 04
Is the input data required to be accurate?
Yes. Before running any analysis, you should use validate_model_parameters. This ensures that the economic variables you provide are logically consistent.
- 05
What is the difference between CPA and net margin?
The MCP calculates both. Net margin tells you the final profit after all costs, while CPA (Cost Per Acquisition) tells you the cost required to gain one new customer through a specific channel.
- 06
How do I calculate the margin for a specific channel?
You can use the analyze_channel_economics capability. It takes gross revenue, marketplace fees, partner shares, and direct sales costs to return the net margin and CPA.
- 07
Can I find the best way to allocate my sales budget?
Yes, the optimize_distribution_mix capability determines the ideal distribution strategy to maximize total profit based on your target volume and budget constraints.
- 08
How does the capability handle enterprise vs self-service models?
The analyze_channel_economics capability includes an isEnterprise parameter to distinguish between high-touch sales and automated self-service distribution.
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Connect AI Model Distribution Economics to Claude, Cursor, ChatGPT & more
