Connectto QuickBooks MCP Server

Seamlessly integrate your CrewAI multi-agent systems with QuickBooks using Klavis AI's comprehensive MCP server connection guide.

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QuickBooks

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QuickBooks is a comprehensive accounting software solution that helps small and medium businesses manage their finances, track expenses, create invoices, manage payroll, and generate financial reports with integrated banking and tax preparation features

Available Tools:

  • create_account
  • get_account
  • list_accounts
  • +32 more tools

Quick Setup Guide

Follow these steps to connect CrewAI to this MCP server

1

Create Your Account

Sign up for KlavisAI to access our MCP server management platform.

2

Configure Agents & Tools

Set up your CrewAI agents with the MCP server tools and configure authentication settings for collaborative workflows.

3

Deploy Your Crew

Test your multi-agent workflows and start using your enhanced collaborative AI capabilities.

CrewAI + KlavisAI Integration Snippets

import os
from crewai import Agent, Task, Crew, Process
from crewai_tools import MCPServerAdapter
from klavis import Klavis
from klavis.types import McpServerName, ConnectionType

# Initialize clients
klavis_client = Klavis(api_key=os.getenv("KLAVIS_API_KEY"))

quickbooks_mcp_instance = klavis_client.mcp_server.create_server_instance(
    server_name=McpServerName.QUICKBOOKS,
    user_id="1234",
    platform_name="Klavis",
    connection_type=ConnectionType.STREAMABLE_HTTP,
)

with MCPServerAdapter(quickbooks_mcp_instance.server_params) as mcp_tools:
    # Create a QuickBooks Analysis Agent
    quickbooks_agent = Agent(
        role="QuickBooks Analyst",
        goal="Research and analyze quickbooks to extract comprehensive insights",
        backstory="You are an expert at analyzing quickbooks and creating professional summaries.",
        tools=mcp_tools,
        reasoning=True,
        verbose=False
    )
    
    # Define Task
    analysis_task = Task(
        description=f"Research and analyze quickbooks data. Extract relevant information and create a comprehensive summary with key points and main takeaways.",
        expected_output="Complete analysis with structured summary, key insights, and main takeaways",
        agent=quickbooks_agent,
        markdown=True
    )
    
    # Create and execute the crew
    quickbooks_crew = Crew(
        agents=[quickbooks_agent],
        tasks=[analysis_task],
        verbose=False,
        process=Process.sequential
    )
    
    result = quickbooks_crew.kickoff()

Frequently Asked Questions

Everything you need to know about connecting CrewAI to this MCP server

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