Multiplatform Deep Researcher using MCP and Multi-Agent Orchestration

from crewai import Agent, Task, Crew
from mcp import MCPClient

# Initialize MCP client for Bright Data
mcp_client = MCPClient(server_url="http://localhost:3000")

# Define platform-specific research agents
instagram_agent = Agent(
    role="Instagram Research Specialist",
    goal="Extract posts, engagement metrics, and trends from Instagram",
    tools=[mcp_client.get_tool("instagram_scraper")],
    backstory="Expert in social media analysis and engagement patterns"
)

linkedin_agent = Agent(
    role="LinkedIn Research Specialist", 
    goal="Analyze professional content and thought leadership",
    tools=[mcp_client.get_tool("linkedin_scraper")],
    backstory="Specialist in B2B content and professional networks"
)

# Create parallel research crew
research_crew = Crew(
    agents=[instagram_agent, linkedin_agent, youtube_agent, twitter_agent, web_agent],
    tasks=research_tasks,
    process=Process.parallel  # Execute agents simultaneously
)

# Run research
results = research_crew.kickoff(inputs={"query": user_query})