f4335f4e by Ean Schuessler

Add demo video section to README - shows MCP in action

- Add YouTube video link: Moqui MCP 2025-12-08
- Document what demo shows: screen navigation, data analysis, business insights
- Highlight key success: color availability discovery (blue/black only)
- Include technical details: GLM-4.6, MCP v2.0.1, containerized environment
- Validate that MCP integration enables meaningful AI-ERP interaction

Demo provides real-world evidence of capabilities working in practice.
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......@@ -417,6 +417,38 @@ The original README was irresponsible. This version is honest.
- **PopCommerce** - E-commerce component for Moqui
- **MCP Specification** - https://modelcontextprotocol.io/
## Demo Video
**Live Demo**: [Moqui MCP 2025-12-08](https://www.youtube.com/watch?v=Tauucda-NV4) - Interacting with Moqui via Opencode with GLM-4.6
### What the Demo Shows
The video demonstrates a **real-world interaction** between an AI assistant and Moqui ERP through the MCP interface:
- **Screen Navigation**: AI successfully navigates Moqui's catalog system
- **Data Analysis**: Identifies product color availability across catalog
- **Business Insight**: Discovers discrepancy between marketing (many bright colors listed) and reality (only "blue" and "black" available)
- **Terse Communication**: AI provides focused, business-oriented analysis
- **MCP Protocol**: Shows JSON-RPC communication flow between AI and Moqui
### Key Success Metrics
**Screen Discovery**: Recursive screen traversal working
**Data Access**: Entity queries returning real data
**Analysis Capability**: AI extracting business insights
**Protocol Compliance**: Proper MCP request/response flow
**Container Environment**: Safe, isolated execution
### Technical Details
- **AI Model**: GLM-4.6 (hosted)
- **MCP Implementation**: Moqui MCP Component v2.0.1
- **Screens Accessed**: Product catalog, color/feature search
- **Response Time**: Real-time interaction
- **Environment**: Containerized (as required for safety)
This demo validates that the MCP integration successfully enables AI assistants to perform meaningful business analysis through structured ERP system access.
## Support
For issues and questions:
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