SFCC Development MCP Server
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Alternatives to SFCC Development MCP Server
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Related Servers
- AlicenseNot gradedqualityDmaintenanceConnects AI applications with Salesforce Commerce Cloud for product management, order analysis, custom object operations, and content asset management.8MIT
- AlicenseNot gradedqualityCmaintenanceEnables Salesforce developers to create code and configuration using local documentation, with optional semantic search.5 npm1MIT
- AlicenseAqualityBmaintenanceEnables AI coding agents to fetch, tail, and clean Salesforce Commerce Cloud log files in real-time, with dynamic workspace resolution for seamless switching between multiple SFCC instances.136 npmMIT
- FlicenseAqualityDmaintenanceThe official Model Context Protocol adapter for Salesforce Commerce Cloud (B2C). Empower your AI agents to seamlessly navigate headless storefronts, manage e-commerce orders, and interact with complex SCAPI/OCAPI endpoints natively.85 npm3-
- AlicenseNot gradedqualityDmaintenanceEnables secure interaction with Salesforce orgs through LLMs, providing tools for managing orgs, querying data, deploying metadata, running tests, and performing code analysis with granular access control and encrypted authentication.Apache 2.0
- AlicenseAqualityCmaintenanceEnables AI assistants to interact with Salesforce through a secure interface for performing CRUD operations, executing SOQL queries, and managing schema discovery. It features a smart learning system that analyzes custom objects and fields to provide intelligent assistance tailored to specific Salesforce configurations.1450 npm17BSD 2-Clause "Simplified"
TDQS
Scored across 15 tools
The tools have some overlap that could cause confusion, particularly between get_* and search_* tools (e.g., get_sfcc_class_info vs. search_sfcc_classes) and among documentation retrieval tools (e.g., get_sfra_document vs. get_sfra_documents_by_category). However, descriptions help clarify distinctions, such as get_* for specific retrieval and search_* for broader exploration, preventing complete ambiguity.
Tool names follow a highly consistent verb_noun pattern throughout, with clear and predictable structures like generate_cartridge_structure, get_available_best_practice_guides, and search_sfcc_classes. There are no deviations in naming conventions, making it easy for agents to parse and understand the tool purposes.
With 15 tools, the count is slightly high but reasonable for a development server covering documentation, best practices, and code generation in the SFCC domain. It includes a mix of generation, listing, retrieval, and search tools, which aligns well with the server's purpose, though it might feel a bit heavy compared to more streamlined sets.
The tool surface is largely complete for its domain, covering documentation retrieval, best practices, and code generation for SFCC development. Minor gaps exist, such as the lack of tools for directly modifying or deploying cartridges, but agents can work around these by using the available tools for guidance and structure generation.