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Connect Document AI Economics Modeler 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 exact cost of your document processing workflows.

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.

ChatGPTClaudeCursorPerplexityGeminiMicrosoft CopilotRaycastMeta AI

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.

A futuristic MCP client docking bay
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 Document AI Economics.

  1. 01

    Calculate accuracy validation cost

    This capability determines the extra cost of human verification needed to hit specific accuracy targets.

  2. 02

    Get total workflow estimate

    This capability provides a complete economic view by combining OCR, complexity, validation, and volume discounts.

  3. 03

    Get unit economics

    This capability calculates core cost metrics for a specific batch of processed documents.

  4. 04

    Get volume discount tier

    This capability identifies which discount multiplier applies based on your total processing volume.

Real work

What teams actually run

01

Vendor Comparison

Compare the total cost of two different OCR providers by factoring in their specific complexity multipliers.

02

Accuracy Budgeting

Determine if the cost of human verification for 99% accuracy is worth the investment compared to 95% accuracy.

03

Scaling Forecasts

Predict how much unit costs will drop as your document volume increases and hits new discount tiers.

04

Workflow Optimization

Find the sweet spot between automated extraction depth and human review expenses.

One connector, every AI

Document AI 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.

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

You don't need a client to put Document AI 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

897ms average. Fast in production.

Document AI Economics is checked daily against the live service.

Daily averagePeak 1175ms
Oct 3Today
Fastest day
739ms
Slowest day
1175ms
14-day trend
Slowing+18%

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

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

Document AI Economics Connector

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

Connector linkhttps://edge.vinkius.com/vk_preview_c4HO7ycbC5totOWb36D6IxOslZrVVvDW3i8E4ewG/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 — Document AI Economics capabilities are ready to use.
Configuration · claude_desktop_config.jsonCopy
{
  "mcpServers": {
    "document-ai-economics-modeler-mcp": {
      "url": "https://edge.vinkius.com/vk_preview_c4HO7ycbC5totOWb36D6IxOslZrVVvDW3i8E4ewG/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 Document AI Economics in Claude and other AIs

See all the AI clients this connector works with ↑

Who it's for

Built for the work Document AI Economics owners hand off.

This MCP is built for teams moving from manual document handling to automated AI workflows.

  • 01

    Operations Managers

    They use the capability to budget for large-scale document automation projects.

  • 02

    AI Engineers

    They use it to compare the cost-effectiveness of different extraction models.

  • 03

    Finance Analysts

    They use the outputs to forecast the long-term costs of automated processing pipelines.

FAQ

Questions Document AI Economics owners ask.

  • 01

    How does this MCP handle human-in-the-loop costs?

    It uses the calculate_accuracy_validation_cost capability to determine the specific labor expenses required to reach your target accuracy levels.

  • 02

    Can I model volume discounts?

    Yes, the get_volume_discount_tier capability identifies applicable multipliers based on your processing volume, and get_total_workflow_estimate includes these in the final projection.

  • 03

    Does it account for document difficulty?

    Yes, the model uses complexity multipliers to adjust base OCR costs for more difficult documents.

  • 04

    What clients can I use this with?

    You can use this MCP with any compatible client like Claude, Cursor, Windsurf, or VS Code.

  • 05

    Is the hosting managed?

    Yes, Vinkius hosts the MCP and manages all credentials so it is ready to use immediately upon connection.

  • 06

    How does document complexity affect the cost?

    Complexity acts as a multiplier on the base OCR cost. For example, using get_unit_economics with a higher complexity multiplier for scanned documents will result in a higher cost per document compared to digital PDFs.

  • 07

    Can I estimate the cost of human validation?

    Yes, you can use calculate_accuracy_validation_cost to determine the additional expense incurred by human-in-the-loop verification efforts needed to meet specific accuracy targets.

  • 08

    Does the capability account for volume discounts?

    Yes, the get_volume_discount_tier capability identifies applicable discounts, and get_total_workflow_estimate incorporates these discounts into the final cost projection.

Connect Document AI Economics to Claude, Cursor, ChatGPT & more