MCP Server for Fintom8 E-Invoicing services (Conversion, Validation, Correction)
Project description
Fintom8 E-Invoicing Agent (MCP)
The official Model Context Protocol (MCP) server for Fintom8.
This server acts as an intelligent bridge to the AI-driven Fintom8 E-Invoice Platform. It enables autonomous agents to validate, audit, and correct e-invoices against the latest European standards (EN16931) and Peppol regulations.
🚀 Features
- PDF to UBL Conversion: Generate compliant e-invoices from any format, including PDF, XML, JSON and CSV. Automatically correct errors in XML files to ensure seamless integration with your system.
- Automated Validation: Validate your ZUGFeRD and UBL e-invoices against 300+ EN16931 rules. AI-driven PDF–XML comparison ensures your invoices meet compliance standards.
- Correction: Automatically correct errors in XML files to ensure seamless integration with your system.
🛠️ Installation
The easiest way to use the server is to install it via pip:
pip install e-invoice-mcp
Run the Server
Once installed, you can start the server with:
e-invoice-mcp
🔑 AI Client Configuration
Claude Desktop (Action required)
To use these tools in Claude, add the following to your configuration file:
File: ~/Library/Application Support/Claude/claude_desktop_config.json
{
"mcpServers": {
"fintom8": {
"command": "e-invoice-mcp"
}
}
}
📦 Included Tools
1. convert_pdf_to_invoice
Converts PDF invoices to structured UBL format.
- Args:
pdf_path(path). - Output: UBL XML.
2. validate_invoice (Basic Validation)
Validates UBL/Peppol XML invoices against compliance rules.
- Args:
xml_content(string) orxml_path(path). - Output: Simple JSON report (is_valid, errors).
3. validate_invoice_v2 (Advanced Validation)
Deep validation with optional AI explanations.
- Args:
xml_content(string) orxml_path(path). - Output: Detailed compliance report.
4. correct_invoice_xml
AI-powered correction of invalid XML invoices.
- Args:
xml_content(string) orxml_path(path). - Output: Fixed XML content.
� Privacy & Security
This server acts as a thin client proxy. Data is processed on secure Fintom8 production servers and is not used for AI model training.
License: MIT Website: fintom8.com
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