INDIVIDUAL MCP TOOL

extract_invoice_data

Extract structured data from an invoice PDF: vendor, invoice number, date, line items, taxes (GST-aware), totals — as JSON.

allpdfmagic.comnone authenticationAvailability not checked

Input schema

{}

Potential side effects detected · medium confidence · heuristic, not a guarantee.

CONNECT WITH APPROVAL

Review this server and its permissions before adding it. Secret placeholders must be set locally.

Codex

~/.codex/config.toml

[mcp_servers.allpdfmagic]
url = "https://api.allpdfmagic.com/mcp"
enabled = true

Claude Code

.mcp.json

{
  "mcpServers": {
    "allpdfmagic": {
      "type": "http",
      "url": "https://api.allpdfmagic.com/mcp"
    }
  }
}

Claude Desktop

Settings → Connectors → Add custom connector

Name: allpdfmagic
Remote MCP URL: https://api.allpdfmagic.com/mcp

Add this remote URL as a custom connector in Claude Desktop. Availability depends on the user plan and workspace policy.

Cursor

.cursor/mcp.json

{
  "mcpServers": {
    "allpdfmagic": {
      "url": "https://api.allpdfmagic.com/mcp"
    }
  }
}

Visual Studio Code

.vscode/mcp.json

Add to Visual Studio Code

{
  "servers": {
    "allpdfmagic": {
      "type": "http",
      "url": "https://api.allpdfmagic.com/mcp"
    }
  }
}

Generic MCP

Client-specific MCP configuration

{
  "name": "allpdfmagic",
  "transport": "streamable-http",
  "url": "https://api.allpdfmagic.com/mcp"
}

MCP Inspector

Run the official MCP Inspector locally and enter the indexed Streamable HTTP endpoint.

validate_gstin — Validate an Indian GSTIN: format and check-digit (base-36 checksum).
compress_pdf — Compress a PDF file to reduce its size.
pdf_to_excel — Convert a PDF (tables, statements, reports) to an Excel file.
parse_bank_statement — Parse a bank statement PDF (any Indian bank + international formats) into categorized transactions with dates, amounts, balances, payment modes (UPI/NEFT/ATM/.
reconcile_documents — Reconcile two or more documents (e.
detect_document_fraud — Screen a batch of 2+ invoices/documents for fraud signals: fabricated GSTINs (check-digit), duplicate invoice numbers across documents, duplicate/near-duplicate files, and amount anomalies.