Overall AI readiness score
A combined result across all audit signals.
Overall AI readiness score
A combined result across all audit signals.
Overall AI readiness assessment
SFCC Development MCP Server was independently audited by llmsmap. sfcc-mcp-dev.rhino-inquisitor.com currently scores 85/100 for AI readiness. The result combines AI-specific files, crawler policy, sitemap discovery, structured homepage data, and—when available—the mobile Google Lighthouse technical profile.
llms.txt is accessible and contains 810 tokens. No accessible llms-full.txt was detected, so deeper context still has to be assembled from regular pages. No separate ai.txt policy was detected; it is optional, but can clarify training, retrieval, and attribution preferences.
robots.txt is available. 11 of 11 tracked AI bots are not blocked. Declared sitemaps: 1. The homepage exposes Schema.org types WebSite, SoftwareApplication, WebPage; 7 OpenGraph tags were found and markup completeness is 100%.
The Google Lighthouse measurement is still collecting. Once complete, performance, accessibility, technical quality, SEO, and experimental browser-agent signals will be added with a limited weight.
The background queue is collecting mobile Performance, Accessibility, Best Practices, SEO, and experimental browser-agent signals.
Machine-readable files, crawler policy, discovery, and homepage markup.
Full version was not found
ai.txt file was not found
1 sitemap found
Types: WebSite, SoftwareApplication, WebPage
7 OG tags found
Based on robots.txt analysis
Declared discovery routes for crawlers and agents.
Social preview metadata found on the homepage.
og:typewebsiteog:site_nameSFCC Dev MCPog:titleSFCC Development MCP Serverog:descriptionLocal MCP server for SFCC development with documentation search, log analysis, cartridge scaffolding, and debugging tools.og:urlhttps://sfcc-mcp-dev.rhino-inquisitor.com/og:image:altSFCC Development MCP ServerStructured entities and properties exposed on the homepage.
nameSFCC Dev MCPurlhttps://sfcc-mcp-dev.rhino-inquisitor.comdescriptionMCP server for Salesforce B2C Commerce Cloud development with docs, logs, and toolingsameAshttps://github.com/taurgis/sfcc-dev-mcp, https://www.npmjs.com/package/sfcc-dev-mcpimagehttps://sfcc-mcp-dev.rhino-inquisitor.com/explain-product-pricing-methods.png# 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, curated agent skills, 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 a broad tool surface across documentation, log analysis, system objects, cartridge generation, and script debugging. 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 - [Getting Started](https://sfcc-mcp-dev.rhino-inquisitor.com/guide/): Introduction and modes - [AI Interface Setup](https://sfcc-mcp-dev.rhino-inquisitor.com/guide/ai-interfaces/): Platform-specific setup for Copilot, Claude, and Cursor - [Configuration Guide](https://sfcc-mcp-dev.rhino-inquisitor.com/guide/configuration/): dw.json, environment variables, and auto-discovery - [Features Overview](https://sfcc-mcp-dev.rhino-inquisitor.com/features/): Complete feature breakdown - [Tools Catalog](https://sfcc-mcp-dev.rhino-inquisitor.com/tools/): All tools organized by category with examples - [Examples](https://sfcc-mcp-dev.rhino-inquisitor.com/examples/): Practical prompts and workflows - [Script Debugger](https://sfcc-mcp-dev.rhino-inquisitor.com/script-debugger/): Sandbox evaluation via debugger API - [Skills](https://sfcc-mcp-dev.rhino-inquisitor.com/skills/): Bundled skills and instruction packs - [Security](https://sfcc-mcp-dev.rhino-inquisitor.com/security/): Credential and data handling guidance - [Development Guide](https://sfcc-mcp-dev.rhino-inquisitor.com/development/): Architecture, testing, and contribution workflow - [Troubleshooting](https://sfcc-mcp-dev.rhino-inquisitor.com/troubleshooting/): Common issues and fixes ## Tool Categories - **SFCC Documentation Tools**: Class information, method search, and namespace exploration - **SFRA Documentation Tools**: Enhanced Storefront Reference Architecture docs - **ISML Documentation Tools**: ISML element reference and search - **Agent Instruction Tools**: Sync AGENTS.md + bundled skills into a workspace - **Log & Job Log Tools**: Log search, summaries, and job execution debugging - **System Object Tools**: Attribute discovery and site preference management - **Cartridge Generation Tools**: Cartridge and project scaffolding - **Code Version Tools**: Listing and activation - **Script Debugger Tools**: Execute JavaScript on sandbox instances ## Optional - [GitHub Repository](https://github.com/taurgis/sfcc-dev-mcp) - [NPM Package](https://www.npmjs.com/package/sfcc-dev-mcp) - [CHANGELOG](https://github.com/taurgis/sfcc-dev-mcp/blob/main/CHANGELOG.md) - [Contributing Guidelines](https://github.com/taurgis/sfcc-dev-mcp/blob/main/CONTRIBUTING.md)
Sites with a close AI-readiness score — compare how they set up llms.txt and markup.