Pricing

Pay per event + usage

Document Intelligence MCP - OCR, Summary & Classification

Real MCP server for Claude Desktop. Extract text (OCR), summarize, classify, and extract tables from document images. Powered by Qwen2.5-VL (Apache 2.0). Connect directly from Claude Desktop via Standby URL.

Pricing

Pay per event + usage

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Developer

daehwan kim

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Monthly active users

7 days ago

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Document Intelligence MCP Server

Extract text (OCR), summarize, classify, and extract tables from document images using local AI vision models.

Features

Tool	Description	Price
`extract_text`	OCR - Extract all text from document images in markdown format	$0.05/use
`summarize_document`	Analyze and summarize document content with key information	$0.10/use
`classify_document`	Classify document type (invoice, contract, receipt, etc.) with confidence	$0.05/use
`extract_tables`	Extract all tables as structured JSON (headers + rows)	$0.10/use

Connect via Claude Desktop

Add to your Claude Desktop MCP settings:

{
  "mcpServers": {
    "document-intelligence": {
      "url": "https://ntriqpro--document-intelligence-mcp.apify.actor/mcp?token=YOUR_APIFY_TOKEN"
    }
  }
}

Supported Document Types

Invoices and receipts
Contracts and agreements
Business letters and memos
Reports and presentations
Forms and applications
ID documents and certificates
Tables, spreadsheets, and charts

Supported Languages

Responses can be generated in: English, Korean, Japanese, Chinese, Spanish.

Input

Each tool accepts:

imageUrl (required): URL of the document image
language (optional): Response language code (default: "en")

Output

Each tool returns structured JSON with the analysis results.

Example: extract_text

Input:

{
  "imageUrl": "https://example.com/invoice.png"
}

Output:

{
  "status": "success",
  "text": "# Invoice\n\n**Invoice #**: 2024-001\n**Date**: March 15, 2024\n...",
  "model": "qwen2.5-vl",
  "imageUrl": "https://example.com/invoice.png"
}

Example: classify_document

Output:

{
  "status": "success",
  "classification": {
    "document_type": "invoice",
    "confidence": 0.95,
    "language": "en",
    "key_fields": ["invoice_number", "date", "total_amount", "vendor"]
  }
}

Example: extract_tables

Output:

{
  "status": "success",
  "tables": {
    "tables": [
      {
        "headers": ["Item", "Quantity", "Price"],
        "rows": [
          ["Widget A", "10", "$5.00"],
          ["Widget B", "5", "$12.00"]
        ]
      }
    ]
  }
}

Technology

Vision Model: Qwen2.5-VL (Apache 2.0 License)
Processing: Local AI inference, zero external API calls
Privacy: Document images are processed in real-time and not stored

Open Source Licenses

This service uses the following open source models:

Qwen2.5-VL — Apache 2.0 License

Platform usage is free. You only pay per event (see pricing above).

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