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Vinkius

Salesforce Commerce Cloud MCP Server for CrewAI 8 tools — connect in under 2 minutes

Built by Vinkius GDPR 8 Tools Framework

Connect your CrewAI agents to Salesforce Commerce Cloud through the Vinkius — pass the Edge URL in the `mcps` parameter and every Salesforce Commerce Cloud tool is auto-discovered at runtime. No credentials to manage, no infrastructure to maintain.

Vinkius supports streamable HTTP and SSE.

python
from crewai import Agent, Task, Crew

agent = Agent(
    role="Salesforce Commerce Cloud Specialist",
    goal="Help users interact with Salesforce Commerce Cloud effectively",
    backstory=(
        "You are an expert at leveraging Salesforce Commerce Cloud tools "
        "for automation and data analysis."
    ),
    # Your Vinkius token — get it at cloud.vinkius.com
    mcps=["https://edge.vinkius.com/[YOUR_TOKEN_HERE]/mcp"],
)

task = Task(
    description=(
        "Explore all available tools in Salesforce Commerce Cloud "
        "and summarize their capabilities."
    ),
    agent=agent,
    expected_output=(
        "A detailed summary of 8 available tools "
        "and what they can do."
    ),
)

crew = Crew(agents=[agent], tasks=[task])
result = crew.kickoff()
print(result)
Salesforce Commerce Cloud
Fully ManagedVinkius Servers
60%Token savings
High SecurityEnterprise-grade
IAMAccess control
EU AI ActCompliant
DLPData protection
V8 IsolateSandboxed
Ed25519Audit chain
<40msKill switch
Stream every event to Splunk, Datadog, or your own webhook in real-time

* 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.

When paired with CrewAI, Salesforce Commerce Cloud becomes a first-class tool in your multi-agent workflows. Each agent in the crew can call Salesforce Commerce Cloud tools autonomously — one agent queries data, another analyzes results, a third compiles reports — all orchestrated through the Vinkius with zero configuration overhead.

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 CrewAI 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 CrewAI via MCP

Follow these steps to integrate the Salesforce Commerce Cloud MCP Server with CrewAI.

01

Install CrewAI

Run pip install crewai

02

Replace the token

Replace [YOUR_TOKEN_HERE] with your Vinkius token from cloud.vinkius.com

03

Customize the agent

Adjust the role, goal, and backstory to fit your use case

04

Run the crew

Run python crew.py — CrewAI auto-discovers 8 tools from Salesforce Commerce Cloud

Why Use CrewAI with the Salesforce Commerce Cloud MCP Server

CrewAI Multi-Agent Orchestration Framework provides unique advantages when paired with Salesforce Commerce Cloud through the Model Context Protocol.

01

Multi-agent collaboration lets you decompose complex workflows into specialized roles — one agent researches, another analyzes, a third generates reports — each with access to MCP tools

02

CrewAI's native MCP integration requires zero adapter code: pass the Vinkius Edge URL directly in the `mcps` parameter and agents auto-discover every available tool at runtime

03

Built-in task delegation and shared memory mean agents can pass context between steps without manual state management, enabling multi-hop reasoning across tool calls

04

Sequential and hierarchical crew patterns map naturally to real-world workflows: enumerate subdomains → analyze DNS history → check WHOIS records → compile findings into actionable reports

Salesforce Commerce Cloud + CrewAI Use Cases

Practical scenarios where CrewAI combined with the Salesforce Commerce Cloud MCP Server delivers measurable value.

01

Automated multi-step research: a reconnaissance agent queries Salesforce Commerce Cloud for raw data, then a second analyst agent cross-references findings and flags anomalies — all without human handoff

02

Scheduled intelligence reports: set up a crew that periodically queries Salesforce Commerce Cloud, analyzes trends over time, and generates executive briefings in markdown or PDF format

03

Multi-source enrichment pipelines: chain Salesforce Commerce Cloud tools with other MCP servers in the same crew, letting agents correlate data across multiple providers in a single workflow

04

Compliance and audit automation: a compliance agent queries Salesforce Commerce Cloud against predefined policy rules, generates deviation reports, and routes findings to the appropriate team

Salesforce Commerce Cloud MCP Tools for CrewAI (8)

These 8 tools become available when you connect Salesforce Commerce Cloud to CrewAI via MCP:

01

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

02

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

03

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

04

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

05

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

06

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

07

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

08

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 CrewAI

Ready-to-use prompts you can give your CrewAI agent to start working with Salesforce Commerce Cloud immediately.

01

"Search for all products in the Enterprise family"

02

"Show all draft orders"

03

"What items are in order ORD-001?"

Troubleshooting Salesforce Commerce Cloud MCP Server with CrewAI

Common issues when connecting Salesforce Commerce Cloud to CrewAI through the Vinkius, and how to resolve them.

01

MCP tools not discovered

Ensure the Edge URL is correct. CrewAI connects lazily when the crew starts — check console output.
02

Agent not using tools

Make the task description specific. Instead of "do something", say "Use the available tools to list contacts".
03

Timeout errors

CrewAI has a 10s connection timeout by default. Ensure your network can reach the Edge URL.
04

Rate limiting or 429 errors

The Vinkius enforces per-token rate limits. Check your subscription tier and request quota in the dashboard. Upgrade if you need higher throughput.

Salesforce Commerce Cloud + CrewAI FAQ

Common questions about integrating Salesforce Commerce Cloud MCP Server with CrewAI.

01

How does CrewAI discover and connect to MCP tools?

CrewAI connects to MCP servers lazily — when the crew starts, each agent resolves its MCP URLs and fetches the tool catalog via the standard tools/list method. This means tools are always fresh and reflect the server's current capabilities. No tool schemas need to be hardcoded.
02

Can different agents in the same crew use different MCP servers?

Yes. Each agent has its own mcps list, so you can assign specific servers to specific roles. For example, a reconnaissance agent might use a domain intelligence server while an analysis agent uses a vulnerability database server.
03

What happens when an MCP tool call fails during a crew run?

CrewAI wraps tool failures as context for the agent. The LLM receives the error message and can decide to retry with different parameters, fall back to a different tool, or mark the task as partially complete. This resilience is critical for production workflows.
04

Can CrewAI agents call multiple MCP tools in parallel?

CrewAI agents execute tool calls sequentially within a single reasoning step. However, you can run multiple agents in parallel using process=Process.parallel, each calling different MCP tools concurrently. This is ideal for workflows where separate data sources need to be queried simultaneously.
05

Can I run CrewAI crews on a schedule (cron)?

Yes. CrewAI crews are standard Python scripts, so you can invoke them via cron, Airflow, Celery, or any task scheduler. The crew.kickoff() method runs synchronously by default, making it straightforward to integrate into existing pipelines.

Connect Salesforce Commerce Cloud to CrewAI

Get your token, paste the configuration, and start using 8 tools in under 2 minutes. No API key management needed.