Can I run Profit & Loss reports?

Yes! Use the `profit_and_loss` tool with start and end dates in YYYY-MM-DD format.

How do I create an invoice?

Use `create_invoice` with a JSON payload containing the CustomerRef and Line items.

Can I run custom queries?

Yes! The `query` tool accepts any QuickBooks query. Example: SELECT * FROM Invoice WHERE TotalAmt > 500.

QuickBooks Online MCP Server for LangChain 10 tools — connect in under 2 minutes

Name: QuickBooks Online
Availability: InStock
Author: Vinkius

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

Built by Vinkius GDPR 10 Tools Framework

LangChain is the leading Python framework for composable LLM applications. Connect QuickBooks Online 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({
        "quickbooks-online": {
            "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 QuickBooks Online, show me what tools are available.",
            }]
        })
        print(response["messages"][-1].content)

asyncio.run(main())

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About QuickBooks Online MCP Server

Connect QuickBooks Online to any AI agent and manage your entire accounting operation through natural conversation.

LangChain's ecosystem of 500+ components combines seamlessly with QuickBooks Online 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

Invoice Management — List, view, and create invoices with line items and taxes
Customer Management — Browse customers, view profiles, create new accounts
Payment Tracking — View payment records with amounts and linked invoices
Financial Reports — Run Profit & Loss reports for any date range
Company Info — View company details, fiscal year, and subscription info
Custom Queries — Execute any QuickBooks query language statement

The QuickBooks Online 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 QuickBooks Online to LangChain via MCP

Follow these steps to integrate the QuickBooks Online 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 QuickBooks Online via MCP

Why Use LangChain with the QuickBooks Online MCP Server

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

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

QuickBooks Online + LangChain Use Cases

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

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

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

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

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

QuickBooks Online MCP Tools for LangChain (10)

These 10 tools become available when you connect QuickBooks Online to LangChain via MCP:

create_customer

Provide DisplayName and optional email/phone as JSON. Create a new customer

create_invoice

Provide customer ref and line items as JSON. Create a new invoice

get_company_info

Get company information

get_customer

Get customer details

get_invoice

Get invoice details

get_payment

Get payment details

list_customers

List all customers

list_invoices

List all invoices

profit_and_loss

Provide dates in YYYY-MM-DD format. Run Profit & Loss report

query

Example: SELECT * FROM Invoice WHERE TotalAmt > 100 MAXRESULTS 50 Execute a QuickBooks query

Example Prompts for QuickBooks Online in LangChain

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

"Show me all unpaid invoices."

"Run the P&L report for Q1 2026."

"Create a customer for John Smith, john@acme.com."

Troubleshooting QuickBooks Online MCP Server with LangChain

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

MultiServerMCPClient not found

Install: pip install langchain-mcp-adapters

QuickBooks Online + LangChain FAQ

Common questions about integrating QuickBooks Online 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.