JDE E1 9.2 R24 System Configuration Research MCP

An MCP (Model Context Protocol) server that provides comprehensive research and guidance tools for JD Edwards EnterpriseOne 9.2 Release 24 system configuration. Designed for deployment on SimTheory.ai.

Overview

This MCP server enables AI-assisted research and configuration guidance for JDE E1 administrators, consultants, and developers. It provides structured access to installation procedures, environment configuration, troubleshooting guidance, and best practices.

Related MCP server: apex-mcp

Features

🔧 Tools (12 Available)

📁 Resources (7 Available)

• jde://config/installation-checklist - Complete installation checklist

• jde://config/environment-templates/production - PD920 configuration template

• jde://config/environment-templates/test - PY920 configuration template

• jde://config/environment-templates/development - DV920 configuration template

• jde://reference/port-assignments - Standard JDE port assignments

• jde://reference/tools-release-matrix - Tools Release compatibility matrix

• jde://reference/error-codes - Common JDE error codes

💬 Prompts (4 Available)

• new-environment-setup - Guided workflow for new environment setup

• troubleshoot-deployment - Package deployment troubleshooting

• upgrade-planning - Tools Release upgrade planning

• security-configuration - Security configuration guidance

Supported Environments

Installation

Prerequisites

• Python 3.10 or higher

• pip or uv package manager

Install from Source

# Clone the repository
git clone https://github.com/saravanadas/jde-e1-config-mcp.git
cd jde-e1-config-mcp

# Create virtual environment
python -m venv venv
source venv/bin/activate  # On Windows: venv\Scripts\activate

# Install dependencies
pip install -e .

Install with uv

uv pip install -e .

Usage

Run the MCP Server

# Using Python
python -m src.server

# Or using the installed script
jde-e1-config-mcp

Configure for Claude Desktop

Add to your Claude Desktop configuration (claude_desktop_config.json):

{
  "mcpServers": {
    "jde-e1-config": {
      "command": "python",
      "args": ["-m", "src.server"],
      "cwd": "/path/to/jde-e1-config-mcp"
    }
  }
}

Deploy to SimTheory.ai

1. Navigate to SimTheory.ai MCP deployment

2. Upload the repository or connect via GitHub

3. Configure environment variables if needed

4. Deploy and test

Example Tool Calls

Get Installation Prerequisites

{
  "name": "research_installation_prerequisites",
  "arguments": {
    "component": "html_server",
    "platform": "windows"
  }
}

Diagnose Configuration Issue

{
  "name": "diagnose_configuration_issue",
  "arguments": {
    "symptom": "Cannot access web client",
    "component": "html_server",
    "environment": "PD920"
  }
}

Get Environment Configuration

{
  "name": "get_environment_configuration",
  "arguments": {
    "environment": "PD920_production",
    "component": "data_sources"
  }
}

Project Structure

jde-e1-config-mcp/
├── src/
│   ├── __init__.py
│   └── server.py          # Main MCP server implementation
├── tests/
│   └── test_server.py     # Unit tests
├── pyproject.toml         # Project configuration
├── requirements.txt       # Dependencies
├── LICENSE               # MIT License
└── README.md             # This file

Knowledge Base Coverage

The MCP includes an embedded knowledge base covering:

• Installation Prerequisites: OS, runtime, middleware, hardware requirements

• Installation Sequence: Step-by-step procedures with durations

• Environment Configuration: Data sources, server maps, OCM mappings

• Server Manager: Deployment Server, Enterprise Server, HTML Server setup

• Centralized Configuration: Release 24 feature documentation

• Troubleshooting: Common issues, diagnostic steps, resolutions

• ESU/ASU Requirements: Patch requirements for various features

• Log Analysis: Log locations, key patterns, analysis techniques

Contributing

Contributions are welcome! Please:

1. Fork the repository

2. Create a feature branch (git checkout -b feature/amazing-feature)

3. Commit your changes (git commit -m 'Add amazing feature')

4. Push to the branch (git push origin feature/amazing-feature)

5. Open a Pull Request

References

• MCP Specification

• Oracle JDE Documentation

• My Oracle Support

• Oracle Certifications

License

This project is licensed under the MIT License - see the LICENSE file for details.

Disclaimer

This MCP server provides guidance and research assistance. Always verify information against official Oracle documentation and consult Oracle Support for production implementations. This is not an official Oracle product.

Author

Das Sivadas - GitHub

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