Create powerful collaborative AI workflows by connecting multiple MCP servers including Shopify, Dialpad for enhanced multi-agent automation capabilities in Klavis AI.
Shopify is a complete commerce platform that lets you start, grow, and manage a business. Manage products, process orders, track customers, and build your online store with powerful e-commerce tools
Dialpad is a cloud-based business phone system with AI-powered voice intelligence. Make calls, send messages, manage contacts, and analyze conversations via OpenAPI integration
Follow these steps to connect CrewAI to these MCP servers
Sign up for KlavisAI to access our MCP server management platform.
Set up your CrewAI agents with your desired MCP servers tools and configure authentication settings for collaborative workflows.
Test your multi-agent workflows and start using your enhanced collaborative AI capabilities.
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"))
shopify_mcp_instance = klavis_client.mcp_server.create_server_instance(
server_name=McpServerName.SHOPIFY,
user_id="1234",
connection_type=ConnectionType.STREAMABLE_HTTP,
)
dialpad_mcp_instance = klavis_client.mcp_server.create_server_instance(
server_name=McpServerName.DIALPAD,
user_id="1234",
connection_type=ConnectionType.STREAMABLE_HTTP,
)
# Initialize MCP tools for each server
shopify_tools = MCPServerAdapter(shopify_mcp_instance.server_params)
dialpad_tools = MCPServerAdapter(dialpad_mcp_instance.server_params)
# Create specialized agents for each service
shopify_agent = Agent(
role="Shopify Specialist",
goal="Handle all Shopify related tasks and data processing",
backstory="You are an expert in Shopify operations and data analysis",
tools=shopify_tools,
reasoning=True,
verbose=False
)
dialpad_agent = Agent(
role="Dialpad Specialist",
goal="Handle all Dialpad related tasks and data processing",
backstory="You are an expert in Dialpad operations and data analysis",
tools=dialpad_tools,
reasoning=True,
verbose=False
)
# Define collaborative tasks
research_task = Task(
description="Gather comprehensive data from all available sources",
expected_output="Raw data and initial findings from all services",
agent=shopify_agent,
markdown=True
)
analysis_task = Task(
description="Analyze and synthesize the gathered data",
expected_output="Comprehensive analysis with insights and recommendations",
agent=dialpad_agent,
markdown=True
)
# Create multi-agent crew
multi_agent_crew = Crew(
agents=[shopify_agent, dialpad_agent],
tasks=[research_task, analysis_task],
verbose=False,
process=Process.sequential
)
result = multi_agent_crew.kickoff()
Everything you need to know about connecting CrewAI to these MCP servers
Join developers who are already using KlavisAI to power their CrewAI multi-agent systems with these MCP servers.
Start For Free