Connectto Perplexity MCP Server

Seamlessly integrate your CrewAI multi-agent systems with Perplexity using Klavis AI's comprehensive MCP server connection guide.

Perplexity icon

Perplexity

coming soon

Perplexity is an AI research assistant that provides accurate answers and cites sources

Quick Setup Guide

Follow these steps to connect CrewAI to this MCP server

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 the MCP server 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"))

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

with MCPServerAdapter(perplexity_mcp_instance.server_params) as mcp_tools:
    # Create a Perplexity Analysis Agent
    perplexity_agent = Agent(
        role="Perplexity Analyst",
        goal="Research and analyze perplexity to extract comprehensive insights",
        backstory="You are an expert at analyzing perplexity and creating professional summaries.",
        tools=mcp_tools,
        reasoning=True,
        verbose=False
    )
    
    # Define Task
    analysis_task = Task(
        description=f"Research and analyze perplexity 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=perplexity_agent,
        markdown=True
    )
    
    # Create and execute the crew
    perplexity_crew = Crew(
        agents=[perplexity_agent],
        tasks=[analysis_task],
        verbose=False,
        process=Process.sequential
    )
    
    result = perplexity_crew.kickoff()

Frequently Asked Questions

Everything you need to know about connecting CrewAI to this MCP server

Ready to Get Started?

Join developers who are already using KlavisAI to power their CrewAI multi-agent systems with this MCP server.

Start For Free