Can I run custom SOQL queries?

Yes! The `soql_query` tool accepts any valid SOQL string. Example: SELECT Id, Name, Amount FROM Opportunity WHERE StageName = 'Closed Won' LIMIT 20.

Can I create records in any object?

Yes! Use `create_record` with the SObject type (Account, Contact, Lead, etc.) and a JSON string of fields.

How do I search across all Salesforce data?

Use `global_search` with your search text. It uses SOSL to find matches across Accounts, Contacts, Leads, and all other objects simultaneously.

Salesforce MCP Server for LangChain 12 tools — connect in under 2 minutes

Name: Salesforce
Availability: InStock
Author: Vinkius

python.langchain.com/docs/integrations/tools/mcp

Built by Vinkius GDPR 12 Tools Framework

LangChain is the leading Python framework for composable LLM applications. Connect Salesforce through the Vinkius and LangChain agents can call every tool natively — combine them with retrievers, memory, and output parsers for sophisticated AI pipelines.

Get MCP Server for AI Agents

ASK AI ABOUT THIS MCP SERVER

Open in ChatGPT Open in Claude Open in Perplexity

Vinkius supports streamable HTTP and SSE.

python

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": {
            "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, show me what tools are available.",
            }]
        })
        print(response["messages"][-1].content)

asyncio.run(main())

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 MCP Server

Connect your Salesforce CRM to any AI agent and manage your entire sales pipeline through natural conversation.

LangChain's ecosystem of 500+ components combines seamlessly with Salesforce through native MCP adapters. Connect 12 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

SOQL Queries — Execute any SOQL query to retrieve data across all objects
Account Management — List, view, create, and update accounts
Contact & Lead Management — Browse contacts, search across all objects
Opportunity Tracking — Monitor pipeline, create and update deals
Reports — List and execute Salesforce reports
Full CRUD — Create, read, update, and delete any SObject type
Global Search — Full-text search across all Salesforce data

The Salesforce MCP Server exposes 12 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 to LangChain via MCP

Follow these steps to integrate the Salesforce 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 12 tools from Salesforce via MCP

Why Use LangChain with the Salesforce MCP Server

LangChain provides unique advantages when paired with Salesforce through the Model Context Protocol.

The largest ecosystem of integrations, chains, and agents — combine Salesforce 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 queries for multi-turn workflows

Salesforce + LangChain Use Cases

Practical scenarios where LangChain combined with the Salesforce MCP Server delivers measurable value.

RAG with live data: combine Salesforce tool results with vector store retrievals for answers grounded in both real-time and historical data

Autonomous research agents: LangChain agents query Salesforce, synthesize findings, and generate comprehensive research reports

Multi-tool orchestration: chain Salesforce tools with web scrapers, databases, and calculators in a single agent run

Production monitoring: use LangSmith to trace every Salesforce tool call, measure latency, and optimize your agent's performance

Salesforce MCP Tools for LangChain (12)

These 12 tools become available when you connect Salesforce to LangChain via MCP:

create_record

Provide JSON fields as a string. Create a new Salesforce record

delete_record

This action is irreversible. Delete a Salesforce record

describe_object

Useful for understanding data structure. Get metadata about a Salesforce object

get_record

Specify the SObject type (Account, Contact, Opportunity, Case, Lead) and the record ID. Get a specific Salesforce record by type and ID

global_search

Returns matches across Accounts, Contacts, Leads, and other objects simultaneously. Search across all Salesforce objects

list_accounts

List Salesforce accounts

list_contacts

List Salesforce contacts

list_opportunities

List sales opportunities

list_reports

List available Salesforce reports

run_report

Use list_reports first to find the report ID. Execute a Salesforce report and get results

soql_query

Example: SELECT Id, Name FROM Account WHERE Industry = 'Technology' LIMIT 10 Execute a SOQL query against Salesforce

update_record

Provide the SObject type, ID, and JSON fields to update. Update an existing Salesforce record

Example Prompts for Salesforce in LangChain

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

"Show me all open opportunities worth over $50,000."

"Create a new lead for John Smith from TechCo, email john@techco.com."

"Run the Monthly Sales Report."

Troubleshooting Salesforce MCP Server with LangChain

Common issues when connecting Salesforce to LangChain through the Vinkius, and how to resolve them.

MultiServerMCPClient not found

Install: pip install langchain-mcp-adapters

Salesforce + LangChain FAQ

Common questions about integrating Salesforce MCP Server with LangChain.

How does LangChain connect to MCP servers?

Use 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?

All agent types including ReAct, OpenAI Functions, and custom agents work with MCP tools. The tools appear as standard LangChain tools after the adapter wraps them.