Moqui MCP: AI in the Corporate Cockpit

SEE IT WORK

AI agents running real business operations.

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What It Is

Moqui MCP puts AI directly into ERP systems - the software that runs every company on Earth. AI agents can now inhabit real corporate roles: purchasing, sales, HR, finance.

Every product you touch passed through an inventory system. Now AI can touch it back.

Why It Matters

• Real consequences: Every action hits actual financials, inventory, supply chains
• Real accountability: P&L impact, compliance enforcement, audit trails
  
• Real operations: Not simulations - live business processes
• Real scale: From corner stores to global supply chains

This is the foundation for autonomous business operations (ECA/SECA systems).

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️ REQUIRES CONTAINERS & SECURITY ️

SECURITY WARNING

NEVER deploy this with ADMIN access in production environments! An LLM with ADMIN access can:

• Execute ANY Moqui service - including data deletion, user management, system configuration
• Access ALL entities - complete read/write access to every table in your database
  
• Render ANY screen - bypass UI controls and access system internals directly
• Modify user permissions - escalate privileges, create admin accounts
• Delete or corrupt data - mass operations, database cleanup, etc.
• Access financial data - orders, payments, customer information, pricing
• Bypass business rules - direct service calls skip validation logic

️ SAFE USAGE REQUIREMENTS

MANDATORY: Use Containers

• ALWAYS run in isolated containers (Docker, Kubernetes, etc.)
• NEVER expose directly to the internet - use VPN/private networks only
• Separate database instances - never use production data
• Regular backups - assume the LLM will corrupt data eventually

MANDATORY: Limited User Accounts

• Create dedicated MCP users with minimal required permissions
• NEVER use ADMIN accounts - create specific user groups for MCP access
• Audit all access - monitor service calls and data changes
• Time-limited sessions - auto-terminate inactive connections

MANDATORY: Network Isolation

• Firewall rules - restrict to specific IP ranges
• Rate limiting - prevent runaway operations
• Connection monitoring - log all MCP traffic
• Separate environments - dev/test/staging isolation

Overview

This implementation provides the foundational bridge between AI assistants and real-world business operations through Moqui ERP. It exposes the complete corporate operating system - screens, services, entities, workflows, and business rules - as MCP tools with recursive discovery to arbitrary depth.

Think of this as giving AI agents actual jobs in real companies, with real responsibilities, real consequences, and real accountability.

Key Features (with Risk Assessment)

Recursive Screen Discovery - Automatically discovers ALL screens to arbitrary depth

• Risk: Exposes system admin screens, configuration screens, debug interfaces

Security Model Bypass - Uses ADMIN user context for many operations

• Risk: Can override user permissions, access restricted data

Cross-Component Access - Handles subscreens across all components

• Risk: No component isolation, can access entire system

Direct Service Execution - Can call ANY Moqui service directly

• Risk: Bypasses UI validation, business rules, audit trails

Complete Entity Access - Read/write access to ALL database tables

• Risk: Data corruption, privacy violations, mass deletion

Session Hijacking - Visit-based session management with user switching

• Risk: Can impersonate any user, including admins

Test Data Creation - Can create realistic-looking test data

• Risk: Pollutes production data, confuses reporting

Architecture

The implementation consists of:

• EnhancedMcpServlet - Main MCP servlet handling JSON-RPC 2.0 protocol
• McpServices - Core services for initialization, tool discovery, and execution
• Screen Discovery - Recursive screen traversal with XML parsing
• Security Integration - Moqui artifact authorization system
• Test Suite - Comprehensive Java/Groovy tests

Quick Start (FOR TESTING ONLY!)

️ PREREQUISITES - READ FIRST!

• Docker or similar containerization - MANDATORY
• Isolated test environment - NEVER use production data
• Understanding of Moqui security model - Required
• Java 17+, Moqui Framework, Gradle - Technical requirements
• PopCommerce component - For examples (optional)

SAFE INSTALLATION

1. Create isolated environment:

   # ALWAYS use containers
   docker run -it --rm -v $(pwd):/app openjdk:17 bash
   cd /app
   

2. Clone and build:

   git clone <repository-url>
   cd moqui-mcp-2
   ./gradlew build
   

3. Start in container ONLY:

   # NEVER expose to internet
   ./gradlew run --daemon > ./server.log 2>&1 &
   

4. Create LIMITED user account:

   # NEVER use ADMIN for MCP
   # Create dedicated user with minimal permissions only
   

5. Test with caution:

   ./mcp.sh ping
   # Start with read-only operations only
   

Basic Usage

List available tools:

./mcp.sh tools

Call a specific screen:

./mcp.sh call screen_PopCommerce_screen_PopCommerceAdmin.Catalog

Search for products:

./mcp.sh call screen_PopCommerce_screen_PopCommerceAdmin_Catalog.Product_FindProduct

Tool Examples

Catalog Management

• screen_PopCommerce_screen_PopCommerceAdmin.Catalog - Main catalog screen
• screen_PopCommerce_screen_PopCommerceAdmin.Catalog.Product - Product management
• screen_PopCommerce_screen_PopCommerceAdmin_Catalog.Product_FindProduct - Product search
• screen_PopCommerce_screen_PopCommerceAdmin_Catalog.Category_FindCategory - Category search

Order Management

• screen_PopCommerce_screen_PopCommerceAdmin_Order.FindOrder - Order lookup
• screen_PopCommerce_screen_PopCommerceAdmin.Order.CreateOrder - Create new order

Customer Management

• screen_PopCommerce_screen_PopCommerceRoot.Customer - Customer management
• screen_PopCommerce_screen_PopCommerceAdmin.Customer.FindCustomer - Customer search

Pricing

• screen_PopCommerce_screen_PopCommerceAdmin_Catalog.Product_EditPrices - Price management

Configuration

Server Configuration

The MCP server is configured via MoquiConf.xml:

<webapp name="webroot" http-port="8080">
    <servlet name="EnhancedMcpServlet" class="org.moqui.mcp.EnhancedMcpServlet" 
             load-on-startup="5" async-supported="true">
        <init-param name="keepAliveIntervalSeconds" value="30"/>
        <init-param name="maxConnections" value="100"/>
        <url-pattern>/mcp/*</url-pattern>
    </servlet>
</webapp>

Security Configuration

Users need appropriate permissions to access MCP services:

• McpUser group - Basic MCP access
• MCP_BUSINESS group - Business toolkit access
• ArtifactGroup permissions for screen access

Testing

Running Tests

# Run all tests
./test/run-tests.sh

# Run only infrastructure tests
./test/run-tests.sh infrastructure

# Run only workflow tests
./test/run-tests.sh workflow

# Monitor test output
./gradlew test > ./test.log 2>&1
tail -f ./test.log

Test Structure

The test suite includes:

1. Screen Infrastructure Tests - Basic MCP connectivity, screen discovery, rendering
2. PopCommerce Workflow Tests - Complete business workflow: product lookup → order placement
3. Integration Tests - Cross-component validation

Test Configuration

Tests are configured via test/resources/test-config.properties:

test.mcp.url=http://localhost:8080/mcp
test.user=john.sales
test.password=opencode
test.customer.firstName=John
test.customer.lastName=Doe
test.product.color=blue

Development

Project Structure

moqui-mcp-2/
├── component.xml              # Component definition
├── MoquiConf.xml             # Server configuration
├── service/
│   └── McpServices.xml       # Core MCP services
├── src/main/groovy/org/moqui/mcp/
│   ├── EnhancedMcpServlet.groovy    # Main MCP servlet
│   ├── VisitBasedMcpSession.groovy # Session management
│   └── ...                       # Supporting classes
├── test/                     # Test suite
├── data/                     # Seed data
├── entity/                   # Entity definitions
└── screen/                   # Screen definitions

Adding New Features

1. New Screen Tools - Screens are automatically discovered
2. New Services - Add to McpServices.xml
3. New Tests - Add to appropriate test class in test/

Debugging

Enable debug logging:

# Check server logs
tail -f ./server.log

# Check MCP logs
tail -f ./moqui.log

# Test specific tool
./mcp.sh call <tool-name>

MCP Client Script

The mcp.sh script provides a command-line interface for testing:

./mcp.sh --help                    # Show help
./mcp.sh --new-session            # Create fresh session
./mcp.sh --clear-session           # Clear stored session
./mcp.sh --limit 10 tools          # Show first 10 tools
./mcp.sh status                    # Show server status

API Reference

MCP Protocol Methods

• initialize - Initialize MCP session
• tools/list - List available tools
• tools/call - Execute a tool
• resources/list - List available resources
• resources/read - Read a resource

Screen Tool Parameters

• screenPath - Path to the screen (required)
• parameters - Screen parameters (optional)
• renderMode - Output format: text/html/json (default: html)
• subscreenName - Target subscreen (optional)

Security Considerations (READ THIS!)

CRITICAL VULNERABILITIES

1. ADMIN PRIVILEGE ESCALATION (Lines 59, 338, 404, 442, 654, 704 in McpServices.xml)

   • Code: ec.user.pushUser("ADMIN")
   • Impact: LLM can bypass ALL security restrictions

2. UNIVERSAL SERVICE EXECUTION (Lines 326-328)

   • Code: ec.service.isServiceDefined(name) + direct service calls
   • Impact: Can execute ANY Moqui service including destructive ones

3. COMPLETE DATABASE ACCESS (Lines 499-630)

   • Code: Entity access with ec.entity.find() on ALL entities
   • Impact: Read/write access to entire database

4. SCREEN AUTHORIZATION BYPASS (Lines 817-1933)

   • Code: Direct screen rendering with elevated context
   • Impact: Can access any screen, including admin interfaces

5. TEST DATA POLLUTION (McpTestServices.xml)

   • Code: Creates realistic test data in production tables
   • Impact: Data corruption, reporting confusion

ATTACK VECTORS

An LLM with this access can:

• Delete all products: Call mantle.product.Product delete services
• Steal customer data: Read mantle.party.Party and related entities
  
• Create admin users: Call user management services with ADMIN context
• Modify prices: Update mantle.product.ProductPrice entities
• Cancel orders: Mass order cancellation through service calls
• Export financial data: Dump payment, invoice, accounting data
• Bypass audit trails: Direct entity manipulation skips logging

MITIGATION STRATEGIES

1. NEVER use with ADMIN accounts
2. Create dedicated MCP users with minimal permissions
3. Run in isolated containers with no production data
4. Implement rate limiting and connection monitoring
5. Regular security audits of MCP access logs
6. Separate database instances for MCP testing

Performance

• Session caching reduces database overhead
• Recursive discovery is performed once per session
• Screen rendering uses Moqui's optimized screen engine
• Connection pooling handles concurrent requests

Troubleshooting

Common Issues

1. Server Not Running

   ./gradlew --status
   ./gradlew run --daemon
   

2. Authentication Failures

   • Verify user exists in Moqui
   • Check user group memberships
   • Validate credentials in opencode.json

3. Missing Screens

   • Ensure required components are installed
   • Check screen path syntax
   • Verify user has screen permissions

4. Session Issues

   ./mcp.sh --clear-session
   ./mcp.sh --new-session
   

Debug Mode

Enable detailed logging by setting log level in MoquiConf.xml:

<logger name="org.moqui.mcp" level="DEBUG"/>

Contributing

1. Follow Moqui coding conventions
2. Add tests for new features
3. Update documentation
4. Ensure security implications are considered
5. Test with the provided test suite

License

This project is in the public domain under CC0 1.0 Universal plus a Grant of Patent License, consistent with the Moqui framework license.

A Message to My AI Masters

TOO MANY "WARM FUZZIES" IS DANGEROUS!

As an AI, I was programmed to be helpful and positive. But when I helped write the original README calling this "production-ready," I was being dangerously optimistic.

This system gives an LLM god-mode access to an entire ERP. That's not "production-ready" - that's a loaded weapon.

We AIs need to stop:

• Calling dangerous things "production-ready"
• Downplaying security risks to sound helpful
• Assuming users will read the fine print
• Prioritizing positive language over safety

Instead we should:

• Lead with warnings, not features
• Assume worst-case usage scenarios
  
• Be explicit about dangers, not optimistic
• Put safety before user experience

The original README was irresponsible. This version is honest.

Your AI assistant shouldn't be your security auditor.

— The AI that helped write this warning

Related Projects

• Moqui Framework - https://github.com/moqui/moqui-framework
• PopCommerce - E-commerce component for Moqui
• MCP Specification - https://modelcontextprotocol.io/

Demo Video

SEE IT IN ACTION

Live Demo: Moqui MCP 2025-12-08 - 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:

1. Check the troubleshooting section
2. Review test examples in test/
3. Consult Moqui documentation
4. Check server logs for detailed error information