ConnectCrewAIto Asana, ClickUp, GitHub MCP Servers

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,
)

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

github_mcp_instance = klavis_client.mcp_server.create_server_instance(
    server_name=McpServerName.GITHUB,
    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)
clickup_tools = MCPServerAdapter(clickup_mcp_instance.server_params)
github_tools = MCPServerAdapter(github_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
)

clickup_agent = Agent(
    role="ClickUp Specialist",
    goal="Handle all ClickUp related tasks and data processing",
    backstory="You are an expert in ClickUp operations and data analysis",
    tools=clickup_tools,
    reasoning=True,
    verbose=False
)

github_agent = Agent(
    role="GitHub Specialist",
    goal="Handle all GitHub related tasks and data processing",
    backstory="You are an expert in GitHub operations and data analysis",
    tools=github_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=clickup_agent,
    markdown=True
)

# Create multi-agent crew
multi_agent_crew = Crew(
    agents=[asana_agent, clickup_agent, github_agent],
    tasks=[research_task, analysis_task],
    verbose=False,
    process=Process.sequential
)

result = multi_agent_crew.kickoff()