Seamlessly integrate your CrewAI multi-agent systems with WhatsApp using Klavis AI's comprehensive MCP server connection guide.
WhatsApp Business API integration that enables sending text messages, media, and managing conversations with customers. Perfect for customer support, marketing campaigns, and automated messaging workflows through the official WhatsApp Business platform.
Follow these steps to connect CrewAI to this MCP server
Sign up for KlavisAI to access our MCP server management platform.
Set up your CrewAI agents with the MCP server 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"))
whatsapp_mcp_instance = klavis_client.mcp_server.create_server_instance(
server_name=McpServerName.WHATSAPP,
user_id="1234",
platform_name="Klavis",
connection_type=ConnectionType.STREAMABLE_HTTP,
)
with MCPServerAdapter(whatsapp_mcp_instance.server_params) as mcp_tools:
# Create a WhatsApp Analysis Agent
whatsapp_agent = Agent(
role="WhatsApp Analyst",
goal="Research and analyze whatsapp to extract comprehensive insights",
backstory="You are an expert at analyzing whatsapp and creating professional summaries.",
tools=mcp_tools,
reasoning=True,
verbose=False
)
# Define Task
analysis_task = Task(
description=f"Research and analyze whatsapp 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=whatsapp_agent,
markdown=True
)
# Create and execute the crew
whatsapp_crew = Crew(
agents=[whatsapp_agent],
tasks=[analysis_task],
verbose=False,
process=Process.sequential
)
result = whatsapp_crew.kickoff()
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