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Extracta MCP, Ready to Go

Use Extracta with Claude or Cursor to turn PDFs and images into structured JSON data automatically. Perfect for invoice processing and OCR.

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Turn messy PDFs and images into structured JSON data automatically.

Extracta MCP for AI Agents

Works with every AI agent you already use

…and any MCP-compatible client

Cursor AI Code EditorClaude Desktop AppOpenAI Agents SDKVisual Studio CodeGitHub Copilot AI AgentGoogle Gemini AILovable AI DevelopmentMistral AI AgentsAmazon AWS Bedrock

How fast is the Extracta Connector?

948ms Fast
Fast Acceptable Slow

Average time for the server to become ready for requests over the last 14 days, measured until the initialize / tools/list handshake completes. Metrics are updated daily between 00:00 and 04:00 UTC. Create a free account, use this Connector on Vinkius Cloud, and connect it to your AI agent in seconds.

Min 716ms
Average 948ms
Max 1825ms
Trend (improving) ↓ 24%
Daily latency
1825ms 7/12/2026
993ms 7/13/2026
943ms 7/14/2026
984ms 7/15/2026
1250ms 7/16/2026
906ms 7/17/2026
1076ms 7/18/2026
1031ms 7/19/2026
945ms 7/20/2026
930ms 7/21/2026
827ms 7/22/2026
858ms 7/23/2026
765ms 7/24/2026
716ms 7/25/2026
7/12/2026 7/25/2026

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AI Agent

What AI agents can do with Extracta 10 Tools for Document Extraction

Use these tools to create schemas, upload files, and manage your document classification workflows.

Create classification

Create a new setup to sort documents into types like invoices or contracts. Pass a JSON schema to define your categories.

View classification

View the specific details and rules of an existing document classification process.

Get batch results

Pull a bulk list of historical results from a previous extraction run. This helps you audit your data in one go.

Get classification results

Find out what category the AI assigned to a specific document. Use this to verify your sorting rules.

Create extraction

Set up a new data extraction process with custom JSON fields and rules. It returns an ID for future use.

Delete extraction

Remove a specific extraction process so it can no longer receive files. This is useful for cleaning up old configurations.

Get results

Check the current status or the final data for a single document. Use this to see if a file is done processing.

Update extraction

Modify the mapping rules of an existing process to refine how data is parsed. You don't have to create a new endpoint to do this.

Upload file url

Submit a public URL for a document to begin the asynchronous extraction process. This returns a document ID for tracking.

View extraction

Review the configuration and fields of an existing extraction process. Check your settings at any time.

A Connector is a URL. Vinkius runs it: hosting, security, governance, observability.

You're looking at one of 5,800+ managed Connectors. The real value isn't the catalog. It's the control plane that secures, governs, audits, and manages every interaction between your agents and the tools they use.

01

No Shadow AI

Every agent action is visible, approved, and auditable. Nothing runs outside your governance.

02

Absolute agent control

Fine-grained permissions for every agent, MCP, and tool. Instantly revoke access and audit every execution.

03

Cost control per token

Spend broken down to the token, tool, and agent. Budgets and hard limits. No surprise invoices.

04

Managed & monitored infra

We operate the runtime, authentication, scaling, retries, and monitoring. Your team manages AI, not infrastructure.

05

Data protection, DLP by design

Sensitive data is filtered before reaching the model. Access is governed so agents receive only the information they're allowed to use.

06

Token optimization, real savings

Lower AI costs by delivering the right context instead of unnecessary tools. Better accuracy, faster responses, and fewer wasted tokens.

Extracta for Automated Invoice and Receipt Processing

This is for the operations manager buried in paperwork, the analyst who hates manual data entry, and the developer building automated pipelines.

Operations Manager

Handles the daily grind of sorting through hundreds of vendor invoices and receipts.

Data Analyst

Converts physical document archives into structured datasets for reporting.

Backend Developer

Builds and tests document processing pipelines without writing custom OCR code.

Frequently Asked Questions

Can Extracta handle different file types? +

Extracta supports common file formats including PDFs, JPGs, and PNGs. This means you can send images of physical receipts or digital PDFs for processing.

How does Extracta help with invoice processing? +

It automates the extraction of specific fields like dates, vendor names, and totals from invoices. It turns those documents into structured JSON data for your records.

Can I change the fields I'm extracting later? +

Yes, you can update your extraction rules at any time. You can add or remove fields like tax amounts or item descriptions without having to rebuild your setup.

Does Extracta work with my current AI client? +

Yes, it works with Claude, Cursor, Windsurf, and other MCP-compatible clients. You can manage your document workflows directly within the tools you already use.

How do I see my previous results? +

You can fetch a list of all previously processed documents and their data payloads. This is great for auditing your history or checking past extractions.

Can it tell the difference between a receipt and a contract? +

Yes, it uses AI classification to automatically sort documents into categories. You can define these types, and the agent will sort them for you based on the content.

Do I need to manually upload every file? +

No, you can submit publicly accessible URLs for documents. The agent will then trigger the extraction workflow automatically.

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

Yes. Use the 'create_extraction' tool. 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.

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

Use the 'upload_file_url' tool. 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.

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

Absolutely. Use the 'get_classification_results' tool 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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