AI Agent for Leather Export: Gemini and MCP-Driven Automated Workflow for SMEs

This article introduces an autonomous AI agent system—leather-export-agent—based on Google Gemini large language model and GitLab MCP protocol, designed specifically for leather product SMEs. It aims to achieve end-to-end automated export management from order processing to logistics tracking. Developed by KevVD and open-sourced on GitHub, this project provides an efficient solution for the digital transformation of traditional industries.

Under global trade, leather product SMEs face challenges in export process management: manual handling of documents, compliance, logistics, and other links is inefficient and error-prone, leading to order delays and reduced customer satisfaction. This project addresses these pain points by combining AI technology to provide a complete automation solution, helping SMEs reduce costs and improve efficiency.

Gemini Large Language Model

As the core reasoning engine, Gemini's multimodal capabilities can process various documents such as text, tables, images (e.g., invoices, customs declarations). Its context window advantage supports tracking complex order statuses and maintaining coherence in multi-round interactions.

GitLab MCP Integration

Seamless integration with GitLab via the MCP protocol supports code version control, CI/CD automation, transparent collaboration, and issue tracking.

Autonomous Workflow Orchestration

The agent can autonomously plan and execute end-to-end tasks: order reception and parsing → inventory check → document generation → compliance review → logistics arrangement → customer communication → status tracking.

1. Automatic New Order Processing: Completes order parsing, inventory confirmation, logistics plan calculation, quotation generation, and customer confirmation within minutes, replacing traditional multi-department manual coordination (which takes days).
2. Compliance Risk Early Warning: Automatically checks whether product ingredients comply with target market regulations (e.g., EU REACH), warns of potential risks in advance, and avoids customs clearance delays and fines.
3. Multilingual Customer Communication: Leverages Gemini's multilingual capabilities to communicate order confirmations, progress updates, etc., in the customer's native language, enhancing customer experience.

Modular Design

Each functional component (order parsing, inventory query, etc.) is independent and communicates via standard interfaces, making it easy to expand, test, and maintain, and supporting progressive deployment.

Fault Tolerance and Manual Takeover

• Confidence threshold: Low-confidence decisions are automatically transferred to manual review;
• Abnormality classification processing: Distinguishes between technical and business abnormalities;
• Audit logs: Complete records of decision-making basis;
• One-click takeover: Manual intervention is possible at any time.

Security Assurance

Data encryption, role-based access control, API key management, and audit trails to protect sensitive business data.

This project provides a low-cost, easy-to-deploy AI solution for the digital transformation of SMEs in the leather industry, allowing enterprises to enjoy efficiency improvements from automation. In the future, with the popularization of multimodal AI and MCP protocols, such vertical AI agents will expand to more scenarios such as procurement, production, and marketing, forming a complete intelligent operation system.