Salesforce Commerce Cloud MCP Server for Mastra AI 8 tools — connect in under 2 minutes
Mastra AI is a TypeScript-native agent framework built for modern web stacks. Connect Salesforce Commerce Cloud through the Vinkius and Mastra agents discover all tools automatically — type-safe, streaming-ready, and deployable anywhere Node.js runs.
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Vinkius supports streamable HTTP and SSE.
import { Agent } from "@mastra/core/agent";
import { createMCPClient } from "@mastra/mcp";
import { openai } from "@ai-sdk/openai";
async function main() {
// Your Vinkius token — get it at cloud.vinkius.com
const mcpClient = await createMCPClient({
servers: {
"salesforce-commerce-cloud": {
url: "https://edge.vinkius.com/[YOUR_TOKEN_HERE]/mcp",
},
},
});
const tools = await mcpClient.getTools();
const agent = new Agent({
name: "Salesforce Commerce Cloud Agent",
instructions:
"You help users interact with Salesforce Commerce Cloud " +
"using 8 tools.",
model: openai("gpt-4o"),
tools,
});
const result = await agent.generate(
"What can I do with Salesforce Commerce Cloud?"
);
console.log(result.text);
}
main();
* Every MCP server runs on Vinkius-managed infrastructure inside AWS - a purpose-built runtime with per-request V8 isolates, Ed25519 signed audit chains, and sub-40ms cold starts optimized for native MCP execution. See our infrastructure
About Salesforce Commerce Cloud MCP Server
Connect Salesforce Commerce to any AI agent.
Mastra's agent abstraction provides a clean separation between LLM logic and Salesforce Commerce Cloud tool infrastructure. Connect 8 tools through the Vinkius and use Mastra's built-in workflow engine to chain tool calls with conditional logic, retries, and parallel execution — deployable to any Node.js host in one command.
What you can do
- Products — Search by name/code, filter by family, update catalog items
- Orders — Search by number/account, filter by status, view line items
- Price Books — List price books and view pricing entries
The Salesforce Commerce Cloud MCP Server exposes 8 tools through the Vinkius. Connect it to Mastra AI in under two minutes — no API keys to rotate, no infrastructure to provision, no vendor lock-in. Your configuration, your data, your control.
How to Connect Salesforce Commerce Cloud to Mastra AI via MCP
Follow these steps to integrate the Salesforce Commerce Cloud MCP Server with Mastra AI.
Install dependencies
Run npm install @mastra/core @mastra/mcp @ai-sdk/openai
Replace the token
Replace [YOUR_TOKEN_HERE] with your Vinkius token
Run the agent
Save to agent.ts and run with npx tsx agent.ts
Explore tools
Mastra discovers 8 tools from Salesforce Commerce Cloud via MCP
Why Use Mastra AI with the Salesforce Commerce Cloud MCP Server
Mastra AI provides unique advantages when paired with Salesforce Commerce Cloud through the Model Context Protocol.
Mastra's agent abstraction provides a clean separation between LLM logic and tool infrastructure — add Salesforce Commerce Cloud without touching business code
Built-in workflow engine chains MCP tool calls with conditional logic, retries, and parallel execution for complex automation
TypeScript-native: full type inference for every Salesforce Commerce Cloud tool response with IDE autocomplete and compile-time checks
One-command deployment to any Node.js host — Vercel, Railway, Fly.io, or your own infrastructure
Salesforce Commerce Cloud + Mastra AI Use Cases
Practical scenarios where Mastra AI combined with the Salesforce Commerce Cloud MCP Server delivers measurable value.
Automated workflows: build multi-step agents that query Salesforce Commerce Cloud, process results, and trigger downstream actions in a typed pipeline
SaaS integrations: embed Salesforce Commerce Cloud as a first-class tool in your product's AI features with Mastra's clean agent API
Background jobs: schedule Mastra agents to query Salesforce Commerce Cloud on a cron and store results in your database automatically
Multi-agent systems: create specialist agents that collaborate using Salesforce Commerce Cloud tools alongside other MCP servers
Salesforce Commerce Cloud MCP Tools for Mastra AI (8)
These 8 tools become available when you connect Salesforce Commerce Cloud to Mastra AI via MCP:
sf_list_pricebooks
Returns price book name, description, active status, and IsStandard flag. Every Salesforce org has a Standard Price Book. Additional price books allow different pricing for channels, regions, or customer tiers (e.g., "Partner Pricing", "Enterprise Discount"). Use to find price book IDs before viewing entries. List all price books in Salesforce with name, description, active status, and whether it is the standard price book
sf_order_items
Returns product name, quantity, unit price, total price, and description per line item. Use when the user asks "what is in this order?", needs to review order composition, or wants to verify pricing before activation. Get all line items of a specific Salesforce order — products, quantities, unit prices, and total prices per item
sf_orders_by_status
Use for order management: "how many draft orders need activation?", "show all activated orders", or for revenue analysis by order status. Get Salesforce orders filtered by status (Draft or Activated) for order management and fulfillment tracking
sf_pricebook_entries
Returns product name, product code, unit price, currency, and active status. Price book entries define the actual price of a product in a specific context (channel, region, tier). Use to check pricing, compare across price books, or verify product availability in a specific price book. Get all product price entries within a specific price book — products with their unit prices and active status
sf_products_by_family
Returns products within a category (e.g., "Hardware", "Software", "Services"). Use when the user asks about products in a specific category, wants a category-level view, or needs to browse the catalog by family. Get all active products within a specific product family for category-level catalog browsing
sf_search_orders
Returns order number, account name, status (Draft/Activated), total amount, effective date, and order owner. Orders represent confirmed customer transactions. Use when the user asks about customer orders, wants to look up a specific order number, or needs to review order history. Search Salesforce orders by order number or account name to find transactions with status, total, and dates
sf_search_products
Returns product name, product code (SKU), product family, description, and whether the product is active. Products define what can be sold — they are linked to price books for pricing. Use when the user asks about product catalog, wants to find a specific product, or needs product IDs for orders. Search the Salesforce product catalog by name or product code to find items with family, description, and active status
sf_update_product
Common operations: set IsActive to false to discontinue a product, change Family to reclassify, update Description, or rename. Only specified fields change. Update a product in the Salesforce catalog — change name, description, active status, product code, or family
Example Prompts for Salesforce Commerce Cloud in Mastra AI
Ready-to-use prompts you can give your Mastra AI agent to start working with Salesforce Commerce Cloud immediately.
"Search for all products in the Enterprise family"
"Show all draft orders"
"What items are in order ORD-001?"
Troubleshooting Salesforce Commerce Cloud MCP Server with Mastra AI
Common issues when connecting Salesforce Commerce Cloud to Mastra AI through the Vinkius, and how to resolve them.
createMCPClient not exported
npm install @mastra/mcpSalesforce Commerce Cloud + Mastra AI FAQ
Common questions about integrating Salesforce Commerce Cloud MCP Server with Mastra AI.
How does Mastra AI connect to MCP servers?
MCPClient with the server URL and pass it to your agent. Mastra discovers all tools and makes them available with full TypeScript types.Can Mastra agents use tools from multiple servers?
Does Mastra support workflow orchestration?
Connect Salesforce Commerce Cloud with your favorite client
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Connect Salesforce Commerce Cloud to Mastra AI
Get your token, paste the configuration, and start using 8 tools in under 2 minutes. No API key management needed.