Salesforce Sales Cloud MCP Server for LangChain 10 tools — connect in under 2 minutes
LangChain is the leading Python framework for composable LLM applications. Connect Salesforce Sales Cloud through the Vinkius and LangChain agents can call every tool natively — combine them with retrievers, memory, and output parsers for sophisticated AI pipelines.
ASK AI ABOUT THIS MCP SERVER
Vinkius supports streamable HTTP and SSE.
import asyncio
from langchain_mcp_adapters.client import MultiServerMCPClient
from langchain_openai import ChatOpenAI
from langgraph.prebuilt import create_react_agent
async def main():
# Your Vinkius token — get it at cloud.vinkius.com
async with MultiServerMCPClient({
"salesforce-sales-cloud": {
"transport": "streamable_http",
"url": "https://edge.vinkius.com/[YOUR_TOKEN_HERE]/mcp",
}
}) as client:
tools = client.get_tools()
agent = create_react_agent(
ChatOpenAI(model="gpt-4o"),
tools,
)
response = await agent.ainvoke({
"messages": [{
"role": "user",
"content": "Using Salesforce Sales Cloud, show me what tools are available.",
}]
})
print(response["messages"][-1].content)
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 Sales Cloud MCP Server
Connect Salesforce Sales Cloud to any AI agent — instant access to your CRM data without switching tabs.
LangChain's ecosystem of 500+ components combines seamlessly with Salesforce Sales Cloud through native MCP adapters. Connect 10 tools via the Vinkius and use ReAct agents, Plan-and-Execute strategies, or custom agent architectures — with LangSmith tracing giving full visibility into every tool call, latency, and token cost.
What you can do
- Leads — Search, create, update, and qualify leads by name, email, or company
- Opportunities — Track deals, update stages, amounts, and close dates
- Accounts — Look up company details including revenue, industry, and employees
- Contacts — Find contacts by name or email with account associations
- Activities — Log calls, meetings, and emails as Tasks linked to records
- Pipeline — Get an instant summary of your open pipeline by stage
The Salesforce Sales Cloud MCP Server exposes 10 tools through the Vinkius. Connect it to LangChain 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 Sales Cloud to LangChain via MCP
Follow these steps to integrate the Salesforce Sales Cloud MCP Server with LangChain.
Install dependencies
Run pip install langchain langchain-mcp-adapters langgraph langchain-openai
Replace the token
Replace [YOUR_TOKEN_HERE] with your Vinkius token
Run the agent
Save the code and run python agent.py
Explore tools
The agent discovers 10 tools from Salesforce Sales Cloud via MCP
Why Use LangChain with the Salesforce Sales Cloud MCP Server
LangChain provides unique advantages when paired with Salesforce Sales Cloud through the Model Context Protocol.
The largest ecosystem of integrations, chains, and agents — combine Salesforce Sales Cloud MCP tools with 500+ LangChain components
Agent architecture supports ReAct, Plan-and-Execute, and custom strategies with full MCP tool access at every step
LangSmith tracing gives you complete visibility into tool calls, latencies, and token usage for production debugging
Memory and conversation persistence let agents maintain context across Salesforce Sales Cloud queries for multi-turn workflows
Salesforce Sales Cloud + LangChain Use Cases
Practical scenarios where LangChain combined with the Salesforce Sales Cloud MCP Server delivers measurable value.
RAG with live data: combine Salesforce Sales Cloud tool results with vector store retrievals for answers grounded in both real-time and historical data
Autonomous research agents: LangChain agents query Salesforce Sales Cloud, synthesize findings, and generate comprehensive research reports
Multi-tool orchestration: chain Salesforce Sales Cloud tools with web scrapers, databases, and calculators in a single agent run
Production monitoring: use LangSmith to trace every Salesforce Sales Cloud tool call, measure latency, and optimize your agent's performance
Salesforce Sales Cloud MCP Tools for LangChain (10)
These 10 tools become available when you connect Salesforce Sales Cloud to LangChain via MCP:
sf_create_lead
lastName and company are required fields in Salesforce. Status defaults to "Open - Not Contacted". Once qualified, leads can be converted to Contact + Account + Opportunity in the Salesforce UI. Returns the created lead with its 18-character Salesforce ID. Create a new lead in Salesforce Sales Cloud with name, company, email, phone, title, and initial status
sf_log_activity
Link to a person via whoId (Contact or Lead ID) and/or to a record via whatId (Account or Opportunity ID). Status defaults to "Completed". Priority: High, Normal, Low. Use to log completed calls, meetings, or emails for activity tracking and reporting. Log a call, meeting, or email as a completed Task in Salesforce linked to a contact, lead, account, or opportunity
sf_opportunities_by_stage
Returns deals sorted by amount descending. Standard stages: Prospecting, Qualification, Needs Analysis, Value Proposition, Id. Decision Makers, Perception Analysis, Proposal/Price Quote, Negotiation/Review, Closed Won, Closed Lost. Use for questions like "what deals are in Negotiation?" or "total value of Closed Won this quarter." Get all Salesforce opportunities at a specific pipeline stage for bottleneck analysis, forecasting, or stage review
sf_pipeline_summary
Returns the number of deals and total monetary value at each stage. Perfect for pipeline health checks, forecasting conversations, and identifying bottleneck stages. Use when the user asks "how is the pipeline?", "what is our total pipeline value?", or "which stage has the most deals?" Get an aggregate snapshot of the open sales pipeline — deal count and total value per stage for a quick health check
sf_search_accounts
Returns account name, industry, annual revenue, number of employees, phone, website, billing city/state/country, and owner. Accounts are the company-level records that contacts and opportunities are linked to. Use when the user asks about a company or needs account-level data. Search Salesforce accounts (companies) by name to find organizations with industry, revenue, employee count, and location
sf_search_contacts
Returns contact name, email, phone, account name, title, department, and mailing address. Contacts are qualified individuals linked to accounts — different from leads (unqualified prospects). Use when the user asks about a specific customer contact. Search Salesforce contacts by name or email to find people at customer accounts with title, department, and phone
sf_search_leads
Returns lead name, company, email, phone, title, status (e.g., Open - Not Contacted, Working, Closed - Converted), rating (Hot/Warm/Cold), lead source, and assigned owner. Use when the user wants to find a specific prospect, check lead status, or review unqualified pipeline. Search Salesforce leads by name, email, or company to find prospective customers in the sales pipeline
sf_search_opportunities
Returns opportunity name, stage (Prospecting/Qualification/Needs Analysis/Value Proposition/Id. Decision Makers/Perception Analysis/Proposal/Negotiation/Closed Won/Closed Lost), amount, close date, probability percentage, and assigned owner. Use for pipeline review, deal lookup, or forecasting queries. Search Salesforce opportunities by name to find deals with stage, amount, probability, close date, and owner
sf_update_lead
Only specified fields are updated. Common operations: change Status to "Working" or "Closed - Converted", set Rating to Hot/Warm/Cold for prioritization, or update contact details. Requires the 18-character Salesforce ID. Update an existing Salesforce lead — change status, rating, contact info, or other fields to reflect qualification progress
sf_update_opportunity
Common operations: advance StageName when deal progresses, update Amount after negotiation, push CloseDate when timeline shifts, set StageName to "Closed Won"/"Closed Lost" to close. Only specified fields change. Update a Salesforce opportunity — advance stage, change amount, update close date, or add notes to reflect deal progress
Example Prompts for Salesforce Sales Cloud in LangChain
Ready-to-use prompts you can give your LangChain agent to start working with Salesforce Sales Cloud immediately.
"Show me all hot leads from this week"
"What does my pipeline look like right now?"
"Create a new lead: John Smith from Acme Corp, john@acme.com"
Troubleshooting Salesforce Sales Cloud MCP Server with LangChain
Common issues when connecting Salesforce Sales Cloud to LangChain through the Vinkius, and how to resolve them.
MultiServerMCPClient not found
pip install langchain-mcp-adaptersSalesforce Sales Cloud + LangChain FAQ
Common questions about integrating Salesforce Sales Cloud MCP Server with LangChain.
How does LangChain connect to MCP servers?
langchain-mcp-adapters to create an MCP client. LangChain discovers all tools and wraps them as native LangChain tools compatible with any agent type.Which LangChain agent types work with MCP?
Can I trace MCP tool calls in LangSmith?
Connect Salesforce Sales Cloud with your favorite client
Step-by-step setup guides for every MCP-compatible client and framework:
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Google's framework for building production AI agents.
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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 Sales Cloud to LangChain
Get your token, paste the configuration, and start using 10 tools in under 2 minutes. No API key management needed.