Salesforce Commerce Cloud MCP Server for LlamaIndex 8 tools — connect in under 2 minutes
LlamaIndex specializes in data-aware AI agents that connect LLMs to structured and unstructured sources. Add Salesforce Commerce Cloud as an MCP tool provider through Vinkius and your agents can query, analyze, and act on live data alongside your existing indexes.
ASK AI ABOUT THIS MCP SERVER
Vinkius supports streamable HTTP and SSE.
import asyncio
from llama_index.tools.mcp import BasicMCPClient, McpToolSpec
from llama_index.core.agent.workflow import FunctionAgent
from llama_index.llms.openai import OpenAI
async def main():
# Your Vinkius token. get it at cloud.vinkius.com
mcp_client = BasicMCPClient("https://edge.vinkius.com/[YOUR_TOKEN_HERE]/mcp")
mcp_tool_spec = McpToolSpec(client=mcp_client)
tools = await mcp_tool_spec.to_tool_list_async()
agent = FunctionAgent(
tools=tools,
llm=OpenAI(model="gpt-4o"),
system_prompt=(
"You are an assistant with access to Salesforce Commerce Cloud. "
"You have 8 tools available."
),
)
response = await agent.run(
"What tools are available in Salesforce Commerce Cloud?"
)
print(response)
asyncio.run(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.
LlamaIndex agents combine Salesforce Commerce Cloud tool responses with indexed documents for comprehensive, grounded answers. Connect 8 tools through Vinkius and query live data alongside vector stores and SQL databases in a single turn. ideal for hybrid search, data enrichment, and analytical workflows.
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 LlamaIndex 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 LlamaIndex via MCP
Follow these steps to integrate the Salesforce Commerce Cloud MCP Server with LlamaIndex.
Install dependencies
Run pip install llama-index-tools-mcp llama-index-llms-openai
Replace the token
Replace [YOUR_TOKEN_HERE] with your Vinkius token
Run the agent
Save to agent.py and run: python agent.py
Explore tools
The agent discovers 8 tools from Salesforce Commerce Cloud
Why Use LlamaIndex with the Salesforce Commerce Cloud MCP Server
LlamaIndex provides unique advantages when paired with Salesforce Commerce Cloud through the Model Context Protocol.
Data-first architecture: LlamaIndex agents combine Salesforce Commerce Cloud tool responses with indexed documents for comprehensive, grounded answers
Query pipeline framework lets you chain Salesforce Commerce Cloud tool calls with transformations, filters, and re-rankers in a typed pipeline
Multi-source reasoning: agents can query Salesforce Commerce Cloud, a vector store, and a SQL database in a single turn and synthesize results
Observability integrations show exactly what Salesforce Commerce Cloud tools were called, what data was returned, and how it influenced the final answer
Salesforce Commerce Cloud + LlamaIndex Use Cases
Practical scenarios where LlamaIndex combined with the Salesforce Commerce Cloud MCP Server delivers measurable value.
Hybrid search: combine Salesforce Commerce Cloud real-time data with embedded document indexes for answers that are both current and comprehensive
Data enrichment: query Salesforce Commerce Cloud to augment indexed data with live information before generating user-facing responses
Knowledge base agents: build agents that maintain and update knowledge bases by periodically querying Salesforce Commerce Cloud for fresh data
Analytical workflows: chain Salesforce Commerce Cloud queries with LlamaIndex's data connectors to build multi-source analytical reports
Salesforce Commerce Cloud MCP Tools for LlamaIndex (8)
These 8 tools become available when you connect Salesforce Commerce Cloud to LlamaIndex 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 LlamaIndex
Ready-to-use prompts you can give your LlamaIndex 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 LlamaIndex
Common issues when connecting Salesforce Commerce Cloud to LlamaIndex through the Vinkius, and how to resolve them.
BasicMCPClient not found
pip install llama-index-tools-mcpSalesforce Commerce Cloud + LlamaIndex FAQ
Common questions about integrating Salesforce Commerce Cloud MCP Server with LlamaIndex.
How does LlamaIndex connect to MCP servers?
Can I combine MCP tools with vector stores?
Does LlamaIndex support async MCP calls?
Connect Salesforce Commerce Cloud with your favorite client
Step-by-step setup guides for every MCP-compatible client and framework:
Anthropic's native desktop app for Claude with built-in MCP support.
AI-first code editor with integrated LLM-powered coding assistance.
GitHub Copilot in VS Code with Agent mode and MCP support.
Purpose-built IDE for agentic AI coding workflows.
Autonomous AI coding agent that runs inside VS Code.
Anthropic's agentic CLI for terminal-first development.
Python SDK for building production-grade OpenAI agent workflows.
Google's framework for building production AI agents.
Type-safe agent development for Python with first-class MCP support.
TypeScript toolkit for building AI-powered web applications.
TypeScript-native agent framework for modern web stacks.
Python framework for orchestrating collaborative AI agent crews.
Leading Python framework for composable LLM applications.
Data-aware AI agent framework for structured and unstructured sources.
Microsoft's framework for multi-agent collaborative conversations.
Connect Salesforce Commerce Cloud to LlamaIndex
Get your token, paste the configuration, and start using 8 tools in under 2 minutes. No API key management needed.