Create powerful collaborative AI workflows by connecting multiple MCP servers including Notion, Unified MCP, Hacker News for enhanced multi-agent automation capabilities in Klavis AI.
Notion is a collaborative productivity and note-taking application
Klavis AI unified MCP server that provides access to multiple tools and capabilities through a single endpoint
Access the latest tech news, discussions, and stories from Hacker News. Fetch top stories, newest posts, best stories, show HN posts, ask HN posts, job listings, and user profiles from the popular tech community platform
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"))
notion_mcp_instance = klavis_client.mcp_server.create_server_instance(
server_name=McpServerName.NOTION,
user_id="1234",
platform_name="Klavis",
connection_type=ConnectionType.STREAMABLE_HTTP,
)
unified_mcp_mcp_instance = klavis_client.mcp_server.create_server_instance(
server_name=McpServerName.UNIFIED_MCP,
user_id="1234",
platform_name="Klavis",
connection_type=ConnectionType.STREAMABLE_HTTP,
)
hacker_news_mcp_instance = klavis_client.mcp_server.create_server_instance(
server_name=McpServerName.HACKER_NEWS,
user_id="1234",
platform_name="Klavis",
connection_type=ConnectionType.STREAMABLE_HTTP,
)
# Initialize MCP tools for each server
notion_tools = MCPServerAdapter(notion_mcp_instance.server_params)
unified_mcp_tools = MCPServerAdapter(unified_mcp_mcp_instance.server_params)
hacker_news_tools = MCPServerAdapter(hacker_news_mcp_instance.server_params)
# Create specialized agents for each service
notion_agent = Agent(
role="Notion Specialist",
goal="Handle all Notion related tasks and data processing",
backstory="You are an expert in Notion operations and data analysis",
tools=notion_tools,
reasoning=True,
verbose=False
)
unified_mcp_agent = Agent(
role="Unified MCP Specialist",
goal="Handle all Unified MCP related tasks and data processing",
backstory="You are an expert in Unified MCP operations and data analysis",
tools=unified_mcp_tools,
reasoning=True,
verbose=False
)
hacker_news_agent = Agent(
role="Hacker News Specialist",
goal="Handle all Hacker News related tasks and data processing",
backstory="You are an expert in Hacker News operations and data analysis",
tools=hacker_news_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=notion_agent,
markdown=True
)
analysis_task = Task(
description="Analyze and synthesize the gathered data",
expected_output="Comprehensive analysis with insights and recommendations",
agent=unified_mcp_agent,
markdown=True
)
# Create multi-agent crew
multi_agent_crew = Crew(
agents=[notion_agent, unified_mcp_agent, hacker_news_agent],
tasks=[research_task, analysis_task],
verbose=False,
process=Process.sequential
)
result = multi_agent_crew.kickoff()
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