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Sfcc Dev MCP

by taurgisversion 1.1.0i★ –iRuns on your computer
Registry nameio.github.taurgis/sfcc-dev-mcp

Install

Overview

Description from the maker (original English)

MCP server for Salesforce B2C Commerce Cloud development assistance

PopNx MCP’s three pillars

These three are never merged into one score: opinions, measurements and popularity are different things.

What you can do with it

We have not written a plain-language summary for this one yet. Below are the facts we read from the registry.

  • Connection: Runs on your computer
  • Transport: stdio
  • Category: Online shops & payments

Install

Pick the AI app you use, then copy the settings.

Before you install

  • Basic checks: 1 of 1 passed
  • Runs on your computer with your user’s permissions (files, network, apps).
  • The registry lists no key to fill in.

You need

  • npmNode.js installed (for the npx command)

Which app do you use?

Pick your app above. We remember it, so next time the button says “Install in …”.

Open Claude Desktop → Settings → Developer → Edit Config, and paste this into claude_desktop_config.json

{
  "mcpServers": {
    "sfcc-dev": {
      "command": "npx",
      "args": [
        "-y",
        "sfcc-dev-mcp"
      ]
    }
  }
}

Run this in your terminal

claude mcp add sfcc-dev -- npx -y sfcc-dev-mcp

Open in Cursor

Or copy the settings yourself

Paste into .cursor/mcp.json in your project, or ~/.cursor/mcp.json

{
  "mcpServers": {
    "sfcc-dev": {
      "command": "npx",
      "args": [
        "-y",
        "sfcc-dev-mcp"
      ]
    }
  }
}

Your browser asks to open the app, then the app shows the settings and asks you to confirm. Key values are left empty for you to fill in.

Open in VS Code

Or copy the settings yourself

Paste into .vscode/mcp.json in your project

{
  "servers": {
    "sfcc-dev": {
      "type": "stdio",
      "command": "npx",
      "args": [
        "-y",
        "sfcc-dev-mcp"
      ]
    }
  }
}

Your browser asks to open the app, then the app shows the settings and asks you to confirm. Key values are left empty for you to fill in.

This one runs on your computer, and ChatGPT can only connect to servers on the internet. Pick another app.

Your choice stays on this device in a cookie; no account needed.

These settings are generated from the maker’s registry entry. If the README says otherwise, follow the README.

What it can do

Runs on your computer; the tool list appears in your AI app after you install it.

Basic checksi

We check information anyone can see; we have not read the code. Checks that do not apply are left out of the count. · Checked Nov 7, 2026

  • ✓ Pass

    Maker matches the repo

    The registry name was verified with the GitHub account taurgis, which owns the repo

  • … Not checked yet

    Still maintained

    We have not read this repo from GitHub yet

  • … Not checked yet

    Has a licence

    We have not read this repo from GitHub yet

  • – Not applicable

    Endpoint responds

    This one runs on your computer; there is no internet endpoint

  • – Not applicable

    Sign-in with OAuth

    Runs on your computer and uses local settings instead

  • … Not checked yet

    No hidden instructions in tool descriptions

    Runs on your computer; we can only read tool lists from internet endpoints

Compared with others in Online shops & paymentsi

  • More stars than 0% of the other 1753 servers in this category
  • Published to the registry more recently than 5% of the other 1753 servers in this category
  • Basic checks equal to or better than 100% of the other 1753 servers in this category

Compared with every active server in this category in the registry. Stars count only when the publisher owns the repo.

Common questions

Is Sfcc Dev MCP safe?

It passed 1 of 1 applicable basic checks. We have not read the code. Before adding a key or token, see what access the server asks for and use a key with only the permissions you need.

What keys or codes does it need?

The registry does not list a required key, though some servers ask you to sign in on first use.

Does it run on my computer or in the cloud?

It runs on your computer. Your AI app starts it when needed, and data does not pass through the maker’s servers (unless it calls an online service itself).

Is it still maintained?

The GitHub repo last changed –, and the latest version (1.1.0) reached the registry 7 months ago.

Which apps can use it?

Apps that support MCP, such as Claude Desktop, Claude Code, Cursor and VS Code. You also need Node.js on your computer.

What can I use instead?

In the same category: Spree Commerce: open-source B2B and marketplace ecommerce, Stripe MCP, MCP Cn Commerce

Alternatives

Servers in the same category from other makers, sorted by stars.

Reading a card:★ GitHub starsiThree pillars: reviews · checks · usageiUpdated = latest version published to the registryi

Stripe MCP

by stripe

Stripe’s official server lets AI view and manage customers, products, payments and invoices. Connect to Stripe’s cloud and sign in with OAuth.

Runs in the cloud★ 2,043MITUpdated 12 months ago
Install

MCP Cn Commerce

by TonyWang-hub

8 read-only MCP platform entries; support is operation-specific; merchant live acceptance pending

Runs on your computer★ 96MITUpdated 28 days ago
Install

README from the maker

Open the README

Copied from the maker’s repo as written. PopNx MCP has not reviewed or endorsed it. HTML, images and scripts are removed. Links lead off this site.

SFCC Development MCP Server

An AI-powered Model Context Protocol (MCP) server that provides comprehensive access to Salesforce B2C Commerce Cloud development tools, documentation, and runtime diagnostics.

✨ Key Features

  • 🔍 Complete SFCC Documentation Access - Search and explore all SFCC API classes and methods
  • 🏗️ SFRA Documentation - Enhanced access to Storefront Reference Architecture documentation
  • 🧱 ISML Template Reference - Complete ISML element documentation with examples and usage guidance
  • 📊 Log Analysis Tools - Real-time error monitoring, debugging, and job log analysis for SFCC instances
  • ⚙️ System Object Definitions - Explore custom attributes and site preferences
  • 🧪 Script Debugger - Execute and inspect script-debugger endpoints in credentialed mode, including custom trigger URLs/paths for non-default storefront routes
  • 🚀 Cartridge Generation - Automated cartridge structure creation with workspace-bound path safety (writes stay inside workspace roots, or current working directory fallback when roots are unavailable; home-directory fallback is blocked)
  • 🧩 Agent Skill Bootstrap - Install or merge AGENTS.md and bundled skills into the current project or a temp directory for AI assistants
  • ✅ Tool Argument Validation - Runtime schema validation enforces required fields, type checks, enum constraints, integer/numeric bounds, and strict unknown-key checks for object schemas (top-level and nested) before handler execution
  • ⏱️ MCP Progress + Cancellation - Tool calls honor request cancellation signals and emit out-of-band notifications/progress updates when clients provide a progressToken

🚀 Quick Start

Option 1: Documentation-Only Mode (No SFCC credentials needed)
{

"mcpServers": { "sfcc-dev": { "command": "npx", "args": ["sfcc-dev-mcp"] } } }

Option 2: Full Mode (With SFCC credentials for log and job analysis)
{

"mcpServers": { "sfcc-dev": { "command": "npx", "args": ["sfcc-dev-mcp", "--dw-json", "/path/to/your/dw.json"] } } }

Create a dw.json file with your SFCC credentials. You can use either auth mode (or both):

  • Basic auth: username + password
  • OAuth: client-id + client-secret
  • Optional storefront auth (for script debugger trigger on Basic-Auth storefronts): storefrontUsername + storefrontPassword
{

"hostname": "your-instance.sandbox.us01.dx.commercecloud.salesforce.com", "username": "your-username", "password": "your-password", "storefrontUsername": "your-storefront-basic-user", "storefrontPassword": "your-storefront-basic-password", "client-id": "your-client-id", "client-secret": "your-client-secret" }

At least one complete credential pair is required when hostname is set. If credentials are provided, hostname is also required.

Option 3: Auto-Discovery (Recommended for VS Code users)

Simply open a VS Code workspace that contains a dw.json file - the server will automatically discover and use it:

{

"mcpServers": { "sfcc-dev": { "command": "npx", "args": ["sfcc-dev-mcp"] } } }

🔧 Configuration Discovery Priority

The server discovers SFCC credentials in this order (highest priority first):

PrioritySourceDescription
1--dw-json CLI parameterExplicit path to dw.json file
2Environment variablesSFCC_HOSTNAME, SFCC_USERNAME, SFCC_PASSWORD, SFCC_CLIENT_ID, SFCC_CLIENT_SECRET
3MCP workspace rootsAutomatically discovers dw.json in your VS Code workspace folder(s), and refreshes when the client sends notifications/roots/list_changed

Note: The server no longer searches the current working directory by default, as MCP servers often start with cwd set to the user's home directory. The MCP workspace roots mechanism provides reliable project context.

🎯 Operating Modes

ModeTools AvailableSFCC Credentials Required
Documentation-Only18 tools❌ No
Full Mode40 tools✅ Yes
Documentation-Only Mode

Perfect for learning and development, no SFCC instance required:

  • Complete SFCC API documentation (5 tools)
  • SFRA documentation (5 tools)
  • ISML template documentation (5 tools)
  • Cartridge generation (1 tool, writes constrained to workspace roots/cwd)
  • Agent instruction bootstrap (2 tools) to copy/merge AGENTS.md and skills, or disable future prompts
Full Mode

Complete development experience with live SFCC instance access:

  • All documentation-only features (18 tools)
  • Real-time log analysis and job logs (13 tools)
  • System object definitions (6 tools)
  • Code version management (2 tools)
  • Script debugger operations (1 tool)

🏗️ Architecture Overview

This server is built around a capability-gated, modular handler architecture that cleanly separates tool routing from domain logic:

Core Layers
  • Tool Schemas (src/core/tool-schemas/): Modular, category-based tool definitions (documentation, SFRA, ISML, logs, job logs, system objects, cartridge, code versions, agent instructions, script debugger). Re-exported via tool-definitions.ts.
  • Server Orchestration Modules (src/core/server-tool-catalog.ts, src/core/server-tool-call-lifecycle.ts, src/core/server-workspace-discovery.ts): Keeps server.ts focused by extracting capability-aware tool catalog logic, tools/call lifecycle (progress/cancellation/preflight), and workspace roots reconfiguration flow.
  • Tool Argument Validator (src/core/tool-argument-validator.ts): Enforces runtime argument shape at the MCP boundary for all tools (required fields, primitive/object/array types, enum checks, integer/numeric ranges, string patterns/length, and strict unknown-key checks for object schemas at top-level and nested levels) before tool dispatch.
  • OCAPI Query Coverage (src/core/tool-schemas/shared-schemas.ts): Shared search schemas include text_query, term_query, bool_query, filtered_query, and match_all_query so MCP boundary validation aligns with supported OCAPI query patterns.
  • Handlers (src/core/handlers/): Each category has a handler extending a common base for timing, structured logging, and error normalization, with config-driven wiring via ConfiguredClientHandler to reduce repetitive boilerplate (e.g. log-handler, docs-handler, isml-handler, system-object-handler).
  • Clients (src/clients/): Encapsulate domain operations (OCAPI, SFRA docs, ISML docs, modular log analysis, script debugger, cartridge generation, agent-instruction sync). Handlers delegate to these so orchestration and computation remain separate.
  • Services (src/services/): Dependency-injected abstractions for filesystem and path operations — improves testability and isolates side effects.
  • Modular Log System (src/clients/logs/): Reader (range/tail optimization), discovery, processor (line → structured entry), analyzer (patterns & health), formatter (human output) for maintainable evolution.
  • Configuration Factory (src/config/configuration-factory.ts): Determines capabilities (canAccessLogs, canAccessOCAPI) based on provided credentials and filters exposed tools accordingly (principle of least privilege).
  • Shared Credential Validation (src/config/credential-validation.ts): Centralizes auth-pair completeness and hostname-format validation for both dw.json loading and runtime configuration creation.
  • Call-time Capability Guarding (src/core/server.ts): Rejects execution of tools that are unavailable in the current mode, so hidden tools are not callable via direct tools/call requests.
  • Call Lifecycle Signals (src/core/server.ts): tools/call handling supports cancellation via request abort signals and emits best-effort progress notifications when the caller provides _meta.progressToken.
  • Tool Error Sanitization (src/core/tool-error-response.ts): Sanitizes upstream execution errors before returning MCP tool responses, reducing accidental leakage of backend payload details.
  • Runtime WebDAV Verification (src/core/server.ts): For OAuth-only configurations (client-id/client-secret without username/password), log/job-log/script-debugger tool exposure is gated by a one-time WebDAV capability probe to avoid false-positive tool availability.
  • CLI Option Helpers (src/config/cli-options.ts): Centralizes command-line parsing and environment credential detection for predictable startup behavior.
  • Shared Path Security Policy (src/config/path-security-policy.ts): Reuses allow/block path rules across workspace-root discovery and secure dw.json loading.
  • Shared Abort Utility (src/utils/abort-utils.ts): Centralized timeout and abort-signal composition used by HTTP and debugger clients for consistent cancellation semantics and timer cleanup.
Why This Matters
  • Extensibility: Adding a new tool usually means adding a schema + minimal handler logic (or a new handler if a new domain).
  • Security: Tools that require credentials are never exposed when capability flags are false.
  • Testability: Unit tests target clients & modules; integration/MCP tests validate handler routing and response structure.
  • Performance: Tail log reads + lightweight caching (cache.ts, log-cache.ts) reduce unnecessary I/O.
Adding a New Tool (High-Level)
  1. Add schema to the appropriate file in src/core/tool-schemas/ (or create new file for new category).
  2. Export new schema from src/core/tool-schemas/index.ts if adding a new file.
  3. Implement domain logic in a client/service (avoid bloating handlers).
  4. Extend an existing handler or create a new one if it's a new category.
  5. (Only for a new category) register the new handler inside registerHandlers() in server.ts.
  6. Discover actual response shape with npx aegis query before writing tests.
  7. Add Jest unit tests + YAML MCP tests (docs vs full mode if credentials required).
  8. Update documentation (AGENTS.md + README counts if changed).

For a deeper internal view, see the Development Guide in the docs site.

🤖 AI Interface Setup

Choose your preferred AI assistant:

InterfaceBest ForSetup Guide
Claude DesktopMulti-turn conversations, debugging📖 Setup Guide
GitHub CopilotVS Code integration, inline suggestions📖 Setup Guide
CursorModern AI-powered editor📖 Setup Guide

📦 Installation

Using npx (Recommended)

Tip: Add -y (or --yes) to suppress the interactive prompt npx shows before downloading a package. This prevents AI clients (Claude Desktop, Copilot, Cursor) from hanging waiting for confirmation.

# Test the server

npx -y sfcc-dev-mcp

Use with your configuration

npx -y sfcc-dev-mcp --dw-json /path/to/your/dw.json

Global Installation
npm install -g sfcc-dev-mcp

sfcc-dev-mcp --dw-json /path/to/your/dw.json

🐛 Debug Mode & Logging

Enable Debug Logging
# Enable debug mode for detailed logging

npx -y sfcc-dev-mcp --debug

Or with configuration file

npx -y sfcc-dev-mcp --dw-json /path/to/your/dw.json --debug

--debug accepts true/false, 1/0, or yes/no. Invalid values fail fast with a clear error message.

Log File Locations

The server writes logs to your system's temporary directory:

  • macOS: `/var/folders/{user-id}/T/sfcc-mcp-

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