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SFCC Development MCP Server

by taurgis
llms.txt4.04 kB
# SFCC Development MCP Server > A comprehensive Model Context Protocol (MCP) server that provides AI assistants with direct access to Salesforce B2C Commerce Cloud development tools, documentation, best practices, and real-time debugging capabilities. This server bridges the gap between AI assistants and SFCC development workflows, offering both documentation-only mode (no credentials required) and full mode (with live SFCC instance access). It provides 36 tools across 8 categories including complete SFCC API documentation, curated best practices guides, enhanced SFRA documentation, real-time log analysis, system object exploration, and automated cartridge generation. Key architectural principles: - **Capability-gated**: Tools requiring SFCC credentials are only exposed when valid configuration is provided - **Modular handlers**: Clean separation between tool routing and domain logic - **Dependency injection**: Testable architecture with service abstractions - **Performance optimized**: Efficient caching and range request optimization for log analysis ## Core Documentation - [Installation Guide](https://sfcc-mcp-dev.rhino-inquisitor.com/#/installation): Step-by-step setup instructions for different AI interfaces (Claude Desktop, Cursor, GitHub Copilot) - [Configuration Guide](https://sfcc-mcp-dev.rhino-inquisitor.com/#/configuration): Detailed configuration options for both documentation-only and full modes - [Available Tools](https://sfcc-mcp-dev.rhino-inquisitor.com/#/tools): Comprehensive list of all 36 tools organized by category with usage examples - [Features Overview](https://sfcc-mcp-dev.rhino-inquisitor.com/#/features): Complete feature breakdown including operating modes and capabilities ## Development Resources - [Development Guide](https://sfcc-mcp-dev.rhino-inquisitor.com/#/development): Architecture overview, adding new tools, testing guidelines, and contribution workflow - [Examples & Use Cases](https://sfcc-mcp-dev.rhino-inquisitor.com/#/examples): Practical examples for documentation access, log analysis, cartridge generation, and debugging workflows - [AI Interface Setup](https://sfcc-mcp-dev.rhino-inquisitor.com/#/ai-interfaces): Platform-specific setup guides for Claude Desktop, Cursor IDE, and GitHub Copilot integration ## Security & Best Practices - [Security Considerations](https://sfcc-mcp-dev.rhino-inquisitor.com/#/security): Credential management, local security practices, and network security guidelines - [Troubleshooting Guide](https://sfcc-mcp-dev.rhino-inquisitor.com/#/troubleshooting): Common issues, debugging steps, and configuration validation ## Tool Categories - **SFCC Documentation Tools (5 tools)**: Complete API class information, method search, and namespace exploration - **Best Practices Guides (4 tools)**: Curated development guidelines for cartridges, hooks, controllers, security, and performance - **SFRA Documentation Tools (5 tools)**: Enhanced Storefront Reference Architecture documentation with dynamic discovery - **Log Analysis Tools (8 tools)**: Real-time error monitoring, pattern matching, and system health analysis - **Job Log Tools (5 tools)**: Specialized job log analysis, execution summaries, and custom job step debugging - **System Object Tools (6 tools)**: Custom attribute discovery, site preference management, and schema exploration - **Cartridge Generation Tools (1 tool)**: Automated cartridge structure creation with complete project setup - **Code Version Tools (2 tools)**: Code version management and deployment activation ## Optional - [GitHub Repository](https://github.com/taurgis/sfcc-dev-mcp): Source code, issues, and contribution guidelines - [NPM Package](https://www.npmjs.com/package/sfcc-dev-mcp): Package installation and version information - [CHANGELOG](https://github.com/taurgis/sfcc-dev-mcp/blob/main/CHANGELOG.md): Release notes and version history - [Contributing Guidelines](https://github.com/taurgis/sfcc-dev-mcp/blob/main/CONTRIBUTING.md): Development setup and contribution workflow

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