MCP For Claude Marketplace
Extracta

Extracta MCP Connector for Claude

A+

Automate data extraction via Extracta — process documents into structured JSON, handle AI classification, and audit extraction history directly from any AI agent.

10 tools Official Updated Oct 1, 2026 Official Vinkius Partner
More Details Connect to Claude

Connect your Extracta.ai account to any AI agent and take full control of your automated data extraction and document classification through natural conversation.

What you can do

  • Extraction Orchestration — Create and configure new data extraction processes by defining JSON schemas for fields like dates, amounts, and item descriptions natively
  • Live Document Processing — Submit publicly accessible file URLs (PDF, JPG, PNG) to trigger asynchronous extraction workflows and retrieve structured JSON data seamlessly
  • AI Classification — Set up document classification rules to automatically sort documents into types like invoices, receipts, or contracts based on AI predictions
  • Result Auditing — Retrieve extraction status and finalized structured data for specific documents, evaluating confidence scores and predicted categories flawlessly
  • Batch History Monitoring — Fetch paginated lists of previously extracted documents and their associated data payloads to track historical processing limitlessly
  • Configuration Mutation — Update existing extraction settings and mapping rules without creating new endpoints to refine your data parsing logic
  • Workflow Management — View and manage extraction and classification configurations, including configured fields and webhook settings securely

How it works

  1. Subscribe to this server
  2. Enter your Extracta.ai API Key (found in the /api section of your dashboard)
  3. Start extracting data from your documents from Claude, Cursor, or any MCP-compatible client

Who is this for?

  • Operations Teams — automate invoice and receipt processing by extracting structured data using natural language
  • Data Analysts — convert document-based data into JSON formats for analysis without manual data entry
  • Developers — test and debug data extraction schemas and verify AI classification results through natural conversation
  • Finance Teams — audit document extraction history and verify data accuracy in real-time
ocrdata-extractiondocument-classificationjson-parsingautomated-data-entryunstructured-data

10 tools expose this connector's capabilities to your AI agent.

upload_file_url

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

get_batch_results

Get bulk historical results from an Extraction process

get_classification_results

Get the predicted document category from Extracta

view_classification

View details of an existing document classification process

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

delete_extraction

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

get_results

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

update_extraction

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

view_extraction

View configuration of an existing Extracta extraction process

create_classification

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

See how to talk to your AI agent using Extracta.

Create an extraction process for invoices with fields: date, vendor, total

Extraction setup created! I've initialized a new process (ID: ext_abc) configured to extract 'date', 'vendor', and 'total' fields. You can now start uploading invoice URLs to this process.

Extract data from this receipt URL: https://example.com/receipt.pdf

Processing document... I've submitted the receipt URL for extraction. Document ID: doc_789. I'll poll for the results now... [Agent retrieves structured JSON with date, total, and items].

What type of document is doc_789 according to my classification rules?

Checking classification for doc_789... The AI has classified this document as 'Invoice' with a 98% confidence score. It fits within your defined document categories flawlessly.

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.

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