Connectto Cloudflare, Firecrawl Deep Research, Firecrawl Web Search MCP Servers

Create powerful collaborative AI workflows by connecting multiple MCP servers including Cloudflare, Firecrawl Deep Research, Firecrawl Web Search for enhanced multi-agent automation capabilities in Klavis AI.

Cloudflare icon

Cloudflare

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

Firecrawl Deep Research icon

Firecrawl Deep Research

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A personal research assistant that analyze sources across the web, based on Firecrawl

Available Tools:

  • firecrawl_deep_research
Firecrawl Web Search icon

Firecrawl Web Search

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Advanced web crawling, scraping, and search capabilities powered by Firecrawl

Available Tools:

  • firecrawl_scrape
  • firecrawl_map
  • firecrawl_crawl
  • +6 more tools

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"))

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,
)

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

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

# Initialize MCP tools for each server
cloudflare_tools = MCPServerAdapter(cloudflare_mcp_instance.server_params)
firecrawl_deep_research_tools = MCPServerAdapter(firecrawl_deep_research_mcp_instance.server_params)
firecrawl_web_search_tools = MCPServerAdapter(firecrawl_web_search_mcp_instance.server_params)

# Create specialized agents for each service
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
)

firecrawl_deep_research_agent = Agent(
    role="Firecrawl Deep Research Specialist",
    goal="Handle all Firecrawl Deep Research related tasks and data processing",
    backstory="You are an expert in Firecrawl Deep Research operations and data analysis",
    tools=firecrawl_deep_research_tools,
    reasoning=True,
    verbose=False
)

firecrawl_web_search_agent = Agent(
    role="Firecrawl Web Search Specialist",
    goal="Handle all Firecrawl Web Search related tasks and data processing",
    backstory="You are an expert in Firecrawl Web Search operations and data analysis",
    tools=firecrawl_web_search_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=cloudflare_agent,
    markdown=True
)

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

# Create multi-agent crew
multi_agent_crew = Crew(
    agents=[cloudflare_agent, firecrawl_deep_research_agent, firecrawl_web_search_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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