Create powerful collaborative AI workflows by connecting multiple MCP servers including Asana, Google Calendar, Affinity for enhanced multi-agent automation capabilities in Klavis AI.
Asana is a web and mobile application designed to help teams organize, track, and manage their work. It provides project management tools, task assignment, collaboration features, and progress tracking to boost team productivity
Google Calendar is a time-management and scheduling calendar service
Affinity is a relationship intelligence platform that helps teams manage relationships, track deals, and leverage network insights to drive business growth with powerful CRM and relationship mapping capabilities
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"))
asana_mcp_instance = klavis_client.mcp_server.create_server_instance(
server_name=McpServerName.ASANA,
user_id="1234",
platform_name="Klavis",
connection_type=ConnectionType.STREAMABLE_HTTP,
)
google_calendar_mcp_instance = klavis_client.mcp_server.create_server_instance(
server_name=McpServerName.GOOGLE_CALENDAR,
user_id="1234",
platform_name="Klavis",
connection_type=ConnectionType.STREAMABLE_HTTP,
)
affinity_mcp_instance = klavis_client.mcp_server.create_server_instance(
server_name=McpServerName.AFFINITY,
user_id="1234",
platform_name="Klavis",
connection_type=ConnectionType.STREAMABLE_HTTP,
)
# Initialize MCP tools for each server
asana_tools = MCPServerAdapter(asana_mcp_instance.server_params)
google_calendar_tools = MCPServerAdapter(google_calendar_mcp_instance.server_params)
affinity_tools = MCPServerAdapter(affinity_mcp_instance.server_params)
# Create specialized agents for each service
asana_agent = Agent(
role="Asana Specialist",
goal="Handle all Asana related tasks and data processing",
backstory="You are an expert in Asana operations and data analysis",
tools=asana_tools,
reasoning=True,
verbose=False
)
google_calendar_agent = Agent(
role="Google Calendar Specialist",
goal="Handle all Google Calendar related tasks and data processing",
backstory="You are an expert in Google Calendar operations and data analysis",
tools=google_calendar_tools,
reasoning=True,
verbose=False
)
affinity_agent = Agent(
role="Affinity Specialist",
goal="Handle all Affinity related tasks and data processing",
backstory="You are an expert in Affinity operations and data analysis",
tools=affinity_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=asana_agent,
markdown=True
)
analysis_task = Task(
description="Analyze and synthesize the gathered data",
expected_output="Comprehensive analysis with insights and recommendations",
agent=google_calendar_agent,
markdown=True
)
# Create multi-agent crew
multi_agent_crew = Crew(
agents=[asana_agent, google_calendar_agent, affinity_agent],
tasks=[research_task, analysis_task],
verbose=False,
process=Process.sequential
)
result = multi_agent_crew.kickoff()
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