Create powerful collaborative AI workflows by connecting multiple MCP servers including Heygen, PostHog for enhanced multi-agent automation capabilities in Klavis AI.
HeyGen is an AI video generation platform that creates professional videos with AI avatars and voices. Generate avatar videos with customizable text, voices, and avatars, manage your video library, and track generation status
PostHog is an open-source product analytics platform. Track events, analyze user behavior, run experiments, manage feature flags, and generate insights 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"))
heygen_mcp_instance = klavis_client.mcp_server.create_server_instance(
server_name=McpServerName.HEYGEN,
user_id="1234",
connection_type=ConnectionType.STREAMABLE_HTTP,
)
posthog_mcp_instance = klavis_client.mcp_server.create_server_instance(
server_name=McpServerName.POSTHOG,
user_id="1234",
connection_type=ConnectionType.STREAMABLE_HTTP,
)
# Initialize MCP tools for each server
heygen_tools = MCPServerAdapter(heygen_mcp_instance.server_params)
posthog_tools = MCPServerAdapter(posthog_mcp_instance.server_params)
# Create specialized agents for each service
heygen_agent = Agent(
role="Heygen Specialist",
goal="Handle all Heygen related tasks and data processing",
backstory="You are an expert in Heygen operations and data analysis",
tools=heygen_tools,
reasoning=True,
verbose=False
)
posthog_agent = Agent(
role="PostHog Specialist",
goal="Handle all PostHog related tasks and data processing",
backstory="You are an expert in PostHog operations and data analysis",
tools=posthog_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=heygen_agent,
markdown=True
)
analysis_task = Task(
description="Analyze and synthesize the gathered data",
expected_output="Comprehensive analysis with insights and recommendations",
agent=posthog_agent,
markdown=True
)
# Create multi-agent crew
multi_agent_crew = Crew(
agents=[heygen_agent, posthog_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
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