Download PDFMarkdown Version
ClaudeChatGPTPerplexityGeminiMicrosoft CopilotRaycastMeta AIGrokZ.aiQwenKimi
DeepSeekMistralCursorVS CodeWindsurfJetBrainsClineLovableVercel AI SDKLangChain

Use AI Context Window Economics with your AI.

Connect your account once and let the AI you already use work with it, without building another integration. Know your true cost before you scale up.

Included with plan

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.

ChatGPTClaudeCursorPerplexityGeminiMicrosoft CopilotRaycastMeta AI

Complete set · 4 capabilities

The complete AI Context Window Economics capability set.

These are the exact actions your AI can choose when you ask it to work with AI Context Window Economics.

Capability set01 / 01

01-04

4 capabilities in this set.

Part of 4 available through AI Context Window Economics.

  1. 01

    Calculate margin by size

    Determines the profit margin for various context window sizes to identify where scaling becomes unprofitable

  2. 02

    Evaluate scalability risk

    Identifies if a specific context window size poses a financial risk due to overwhelming attention or memory costs

  3. 03

    Find optimal pricing

    Suggests the ideal price per token to maximize total margin given specific cost constraints

  4. 04

    Allocate memory costs

    Breaks down the total operational cost into its constituent parts, specifically isolating the memory cost required for the KV cache

One connector, every AI

AI Context Window 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.

ClaudeClaudeChatGPTChatGPTGeminiGeminiPerplexityPerplexityGrokGrokMicrosoft CopilotMicrosoft CopilotCursorCursorVS CodeVS CodeWindsurfWindsurfJetBrainsJetBrainsClineClineLangChainLangChainVercel AI SDKVercel AI SDKLovableLovableZ.aiZ.aiRaycastRaycastQwen CodeQwen CodeKimi CodeKimi CodeLe ChatLe Chat

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

You don't need a client to put AI Context Window 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

977ms average. Fast in production.

AI Context Window Economics is checked daily against the live service.

Daily averagePeak 977ms
Sep 6Today
Fastest day
977ms
Slowest day
977ms
14-day trend
Stable0%

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 Context Window Economics, so you can see the experience inside your AI.

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

AI Context Window Economics Connector

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

Connector linkhttps://edge.vinkius.com/vk_preview_oxqdK0x2U8RL6MN4B4fXsf4GeXDbqGcHX36L6DC9/mcp

Claude Desktop

Follow the steps below to connect in seconds.

  1. 1In Claude Desktop, open Settings → Connectors.
  2. 2Click “Add custom connector” and paste the connector link above as the remote MCP server URL.
  3. 3Click Add and start a new chat — AI Context Window Economics capabilities are ready to use.
Configuration · claude_desktop_config.jsonCopy
{
  "mcpServers": {
    "ai-context-window-economics-mcp": {
      "url": "https://edge.vinkius.com/vk_preview_oxqdK0x2U8RL6MN4B4fXsf4GeXDbqGcHX36L6DC9/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? link.label

See all the AI clients this connector works with ↑

Who it's for

Built for the work AI Context Window Economics owners hand off.

This MCP is built for technical decision-makers who manage AI infrastructure spending. If you're responsible for LLM pricing, scaling, or FinOps, this capability gives you the financial data you need to justify growth or adjust your pricing model.

  • 01

    FinOps Engineer

    You use this to model and predict the cost impact of increasing context window sizes.

  • 02

    Product Manager

    You use this to set realistic pricing tiers for new features that require larger context windows.

  • 03

    AI Architect

    You use this to understand the true resource allocation, separating compute costs from memory costs.

FAQ

Questions AI Context Window Economics owners ask.

  • 01

    Does this MCP handle quadratic attention overhead?

    Yes. The capabilities are designed to account for the non-linear cost growth associated with attention mechanisms, which is critical when scaling context windows.

  • 02

    What is the difference between compute cost and memory cost?

    The MCP separates these. It allows you to allocate memory costs, specifically isolating the memory overhead required for the KV cache from the general compute expenditure.

  • 03

    Can I use this for any LLM?

    The MCP models the economic principles of LLM inference, making it applicable to any model where context window scaling impacts cost.

  • 04

    What kind of inputs does it need?

    You must provide inputs like the token price, the base compute cost, the desired context window size, and the attention factor.

Explore

More in Finance

Suggestions