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Use Extracta with your AI.

Connect your account once and let the AI you already use work with it, without building another integration. Automate data extraction via Extracta. process documents into structured JSON, handle AI classification, and audit extraction history directly from any AI agen

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 · 10 capabilities

The complete Extracta capability set.

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

Capability set01 / 03

01-04

4 capabilities in this set.

Part of 10 available through Extracta.

  1. 01

    Create classification

    G. invoice, receipt, contract). Pass JSON schema defining categories. Create a new Extracta document classification setup

  2. 02

    Create extraction

    G. language, format, expected fields like invoice_date, total_amount). Returns a new extractionId used for subsequent document processing. Create a new Extracta.ai data extraction process

  3. 03

    Get batch results

    Get bulk historical results from an Extraction process

  4. 04

    Upload file URL

    Returns a documentId. Use ea.get_results to poll for extracted data. Upload a document URL to Extracta for processing

Capability set02 / 03

05-07

3 capabilities in this set.

Part of 10 available through Extracta.

  1. 05

    Get classification results

    Get the predicted document category from Extracta

  2. 06

    Delete extraction

    Subsequent uploads to this extractionId will fail. Delete an Extracta.ai extraction process

  3. 07

    Get results

    If not completed, it will indicate processing status. Get extraction results for a specific document

Capability set03 / 03

08-10

3 capabilities in this set.

Part of 10 available through Extracta.

  1. 08

    Update extraction

    Modifies mapping rules without needing to create a new endpoint. Update an existing Extracta extraction configuration

  2. 09

    View extraction

    View configuration of an existing Extracta extraction process

  3. 10

    View classification

    View details of an existing document classification process

Observed, not estimated

830ms average. Fast in production.

Extracta is checked daily against the live service.

Daily averagePeak 1094ms
Aug 20Today
Fastest day
748ms
Slowest day
1094ms
14-day trend
Slowing+46%

Connect your client

One URL. Every client.

Activate the Connector, copy your link, and paste it into the client you already use. 10 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 Extracta, so you can see the experience inside your AI.

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

Extracta Connector

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

Connector linkhttps://edge.vinkius.com/vk_preview_C65ttiBqS65NCFErwJyenYxrCFQRkfcwF5fUOGUO/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 — Extracta capabilities are ready to use.
Configuration · claude_desktop_config.jsonCopy
{
  "mcpServers": {
    "extracta-mcp": {
      "url": "https://edge.vinkius.com/vk_preview_C65ttiBqS65NCFErwJyenYxrCFQRkfcwF5fUOGUO/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

FAQ

Questions Extracta owners ask.

  • 01

    Can my agent create a new data extraction setup with custom fields?

    Yes. Use the 'create_extraction' capability. Provide a JSON schema defining the fields you expect (e.g., 'total_amount', 'vendor_name'). The agent will return a new extractionId for document processing.

  • 02

    How do I process a PDF document using a specific extraction ID via chat?

    Use the 'upload_file_url' capability. Provide the extractionId and the public URL of your PDF. The agent will trigger the workflow and return a documentId, which you can use with 'get_results' to fetch the data.

  • 03

    Can I see the predicted document type and confidence score through the agent?

    Absolutely. Use the 'get_classification_results' capability with the document and classification IDs. The agent will retrieve the AI-predicted label (e.g., 'Invoice') and the confidence score for the processed file.

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