Config is the same across clients — only the file and path differ.
{
"mcpServers": {
"salesforce-commerce-mcp": {
"args": [
"-y",
"mcpfusion"
],
"command": "npx"
}
}
}Are you the author?
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The 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.
This server supports HTTP transport. Be the first to test it — help the community know if it works.
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Checked mcpfusion against OSV.dev.
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The 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.
Modern storefronts are incredibly complex. This MCP server abstract away the intricacies of Commerce Cloud authentication and rate-limiting. By exposing semantically rich tools, your AI agents can perform real-time inventory checks, orchestrate cart operations, and provide deeply personalized customer insights based on historical order data.
This server is highly optimized for the Vinkius Edge ecosystem. Hosting your AI tools on Vinkius offers distinct competitive advantages for e-commerce operations:
Agents equipped with this MCP gain the following abilities:
query_catalog: Deep semantic searches across your Commerce Cloud product catalog. Filters by category, availability, and pricing in real-time.manage_orders: Allows the agent to fetch order statuses, trace shipments, and process cancellations or modifications safely.customer_insights: Retrieves comprehensive buyer profiles and transaction histories, enabling the AI to offer bespoke shopping support.Forget about provisioning servers or managing Docker containers. Vinkius provides free, serverless edge hosting for MCP projects.
Simply run:
npx mcpfusion deploy
Your storefront agent bridge is now live.
👉 View the Salesforce Commerce Cloud MCP on the Vinkius Marketplace
If you are extending the capabilities locally via mcpfusion:
npm install
npm run dev