Connectto Close, Notion, Cloudflare MCP Servers

Create powerful collaborative AI workflows by connecting multiple MCP servers including Close, Notion, Cloudflare for enhanced multi-agent automation capabilities in Klavis AI.

Close icon

Close

featured

Close is a modern CRM platform built for sales teams, providing powerful lead management, contact organization, and sales pipeline tracking to help businesses close more deals

Available Tools:

  • close_create_lead
  • close_get_lead
  • close_search_leads
  • +20 more tools
Notion icon

Notion

featured

Notion is a collaborative productivity and note-taking application

Available Tools:

  • notion_get_user
  • notion_get_users
  • notion_get_self
  • +10 more tools
Cloudflare icon

Cloudflare

featured

Cloudflare provides content delivery network services, DDoS protection, and security.

Quick Setup Guide

Follow these steps to connect CrewAI to these MCP servers

1

Create Your Account

Sign up for KlavisAI to access our MCP server management platform.

2

Configure Agents & Tools

Set up your CrewAI agents with your desired MCP servers tools and configure authentication settings for collaborative workflows.

3

Deploy Your Crew

Test your multi-agent workflows and start using your enhanced collaborative AI capabilities.

CrewAI + KlavisAI Integration Snippets

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"))

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

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,
)

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

# Initialize MCP tools for each server
close_tools = MCPServerAdapter(close_mcp_instance.server_params)
notion_tools = MCPServerAdapter(notion_mcp_instance.server_params)
cloudflare_tools = MCPServerAdapter(cloudflare_mcp_instance.server_params)

# Create specialized agents for each service
close_agent = Agent(
    role="Close Specialist",
    goal="Handle all Close related tasks and data processing",
    backstory="You are an expert in Close operations and data analysis",
    tools=close_tools,
    reasoning=True,
    verbose=False
)

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
)

cloudflare_agent = Agent(
    role="Cloudflare Specialist",
    goal="Handle all Cloudflare related tasks and data processing",
    backstory="You are an expert in Cloudflare operations and data analysis",
    tools=cloudflare_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=close_agent,
    markdown=True
)

analysis_task = Task(
    description="Analyze and synthesize the gathered data",
    expected_output="Comprehensive analysis with insights and recommendations",
    agent=notion_agent,
    markdown=True
)

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

result = multi_agent_crew.kickoff()

Frequently Asked Questions

Everything you need to know about connecting CrewAI to these MCP servers

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