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ClaudeChatGPTPerplexityGeminiMicrosoft CopilotRaycastMeta AIGrokZ.aiQwenKimi
DeepSeekMistralCursorVS CodeWindsurfJetBrainsClineLovableVercel AI SDKLangChain

Use AI Data Prep Estimator with your AI.

Connect your account once and let the AI you already use work with it, without building another integration. Know the true cost and timeline before you write a line of code.

Included with plan

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

Complete set · 4 capabilities

The complete AI Data Prep Estimator capability set.

These are the exact actions your AI can choose when you ask it to work with AI Data Prep Estimator.

Capability set01 / 01

01-04

4 capabilities in this set.

Part of 4 available through AI Data Prep Estimator.

  1. 01

    Estimate preparation timeline

    Answers "How many weeks will the data preparation phase take?"

  2. 02

    Get prep summary

    Answers "Give me a complete overview of the investment, time, and quality for my plan."

  3. 03

    Predict data quality score

    Answers "What will the quality of the prepared data be based on the chosen strategy?"

  4. 04

    Estimate preparation budget

    Answers "How much money will it cost to prepare this dataset?"

Observed, not estimated

857ms average. Fast in production.

AI Data Prep Estimator is checked daily against the live service.

Daily averagePeak 1054ms
Aug 27Today
Fastest day
768ms
Slowest day
1054ms
14-day trend
Improving-27%

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 Data Prep Estimator, so you can see the experience inside your AI.

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

AI Data Prep Estimator Connector

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

Connector linkhttps://edge.vinkius.com/vk_preview_kwWZZlX9cEbWk5rrXHbqISdKwxwjnWrlaO34C5Bd/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 Data Prep Estimator capabilities are ready to use.
Configuration · claude_desktop_config.jsonCopy
{
  "mcpServers": {
    "ai-data-preparation-estimator-mcp": {
      "url": "https://edge.vinkius.com/vk_preview_kwWZZlX9cEbWk5rrXHbqISdKwxwjnWrlaO34C5Bd/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

Who it's for

Built for the work AI Data Prep Estimator owners hand off.

This MCP is essential for anyone leading a machine learning or data science initiative. If you're responsible for the project scope, budget, or timeline, you need this. It stops the common pitfall of starting a project without knowing the true data preparation cost.

  • 01

    Data Scientist

    Use this to validate data assumptions and ensure the chosen preparation method is feasible before writing code.

  • 02

    Analytics Manager

    Run this to build a solid business case, providing concrete cost and timeline estimates to executive leadership.

  • 03

    ML Engineer

    Check the projected data quality score to validate the robustness of your data pipeline design.

FAQ

Questions AI Data Prep Estimator owners ask.

  • 01

    Does this estimate cover labeling costs?

    Yes. The capabilities factor in labeling needs and complexity. The budget estimate accounts for both automated processing and the cost associated with manual labeling efforts.

  • 02

    What variables do I need to provide?

    You must provide details on the data volume, the required cleaning intensity, the number of labeling samples, and the overall preprocessing complexity.

  • 03

    Is this just a rough guess?

    No. The MCP uses established models to calculate the investment. It provides measurable estimates for budget, timeline, and quality score, giving you concrete planning data.

  • 04

    Can I get a summary or separate estimates?

    You can use the get_prep_summary capability for a full overview, or you can use specific capabilities like estimate_preparation_budget or estimate_preparation_timeline if you only need one metric.

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