Seamlessly integrate your CrewAI multi-agent systems with Notion using Klavis AI's comprehensive MCP server connection guide.
Notion is a collaborative productivity and note-taking application
Follow these steps to connect CrewAI to this MCP server
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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"))
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,
)
with MCPServerAdapter(notion_mcp_instance.server_params) as mcp_tools:
# Create a Notion Analysis Agent
notion_agent = Agent(
role="Notion Analyst",
goal="Research and analyze notion to extract comprehensive insights",
backstory="You are an expert at analyzing notion and creating professional summaries.",
tools=mcp_tools,
reasoning=True,
verbose=False
)
# Define Task
analysis_task = Task(
description=f"Research and analyze notion 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=notion_agent,
markdown=True
)
# Create and execute the crew
notion_crew = Crew(
agents=[notion_agent],
tasks=[analysis_task],
verbose=False,
process=Process.sequential
)
result = notion_crew.kickoff()
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