Connectto Perplexity, Cloudflare, Plai MCP Servers

Create powerful AI workflows by connecting multiple MCP servers including Perplexity, Cloudflare, Plai for enhanced automation capabilities in Klavis AI.

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Perplexity

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

Cloudflare

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

Plai

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Plai is an AI-powered advertising platform that simplifies creating, managing, and optimizing Facebook, Instagram, and LinkedIn ad campaigns. It provides tools for lead generation, campaign insights, and automated ad management to help businesses scale their digital marketing efforts effectively.

Available Tools:

plai_create_user_profile
plai_get_user_profile
plai_create_link
+7 more tools

Quick Setup Guide

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Configure Connections

Add your desired MCP servers to Gemini and configure authentication settings.

Test & Deploy

Verify your connections work correctly and start using your enhanced AI capabilities.

Google Gemini + KlavisAI Integration Snippets

View Documentation

import os
from google import genai
from klavis import Klavis
from klavis.types import McpServerName, ConnectionType, ToolFormat

# Initialize clients
klavis_client = Klavis(api_key=os.getenv("KLAVIS_API_KEY"))
client = genai.Client(api_key=os.getenv("GOOGLE_API_KEY"))

user_message = "Your query here"

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,
)

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,
)

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

# Get tools from all MCP servers
perplexity_tools = klavis_client.mcp_server.list_tools(
    server_url=perplexity_mcp_instance.server_url,
    connection_type=ConnectionType.STREAMABLE_HTTP,
    format=ToolFormat.GEMINI,
)
cloudflare_tools = klavis_client.mcp_server.list_tools(
    server_url=cloudflare_mcp_instance.server_url,
    connection_type=ConnectionType.STREAMABLE_HTTP,
    format=ToolFormat.GEMINI,
)
plai_tools = klavis_client.mcp_server.list_tools(
    server_url=plai_mcp_instance.server_url,
    connection_type=ConnectionType.STREAMABLE_HTTP,
    format=ToolFormat.GEMINI,
)

# Combine all tools
all_tools = []
all_tools.extend(perplexity_tools.tools)
all_tools.extend(cloudflare_tools.tools)
all_tools.extend(plai_tools.tools)

response = client.models.generate_content(
    model="gemini-2.5-flash",
    contents=user_message,
    config=genai.types.GenerateContentConfig(
        tools=all_tools,
    ),
)

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ConnectGeminito Perplexity, Cloudflare, Plai MCP Servers