Connectto LinkedIn, Cloudflare, Resend MCP Servers

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

Get Started Free View All MCP Servers

coming soon

LinkedIn is a business and employment-oriented online service

Cloudflare

featured

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

Resend

featured

Resend is a modern email API for sending and receiving emails programmatically

Available Tools:

resend_send_email
resend_create_audience
resend_get_audience
+12 more tools

Quick Setup Guide

Follow these steps to connect Google Gemini to these MCP servers

Create Your Account

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

# Initialize clients
genai.configure(api_key=os.getenv("GOOGLE_AI_API_KEY"))
klavis_client = Klavis(api_key=os.getenv("KLAVIS_API_KEY"))

# Constants
GEMINI_MODEL = "gemini-2.5-flash"
user_message = "Your query here"

linkedin_mcp_instance = klavis_client.mcp_server.create_server_instance(
    server_name=McpServerName.LINKEDIN,
    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,
)

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

# Get tools from all MCP servers
linkedin_tools = klavis_client.mcp_server.list_tools(
    server_url=linkedin_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,
)
resend_tools = klavis_client.mcp_server.list_tools(
    server_url=resend_mcp_instance.server_url,
    connection_type=ConnectionType.STREAMABLE_HTTP,
    format=ToolFormat.GEMINI,
)

# Combine all tools
all_tools = []
all_tools.extend(linkedin_tools.tools)
all_tools.extend(cloudflare_tools.tools)
all_tools.extend(resend_tools.tools)

model = genai.GenerativeModel(
    model_name=GEMINI_MODEL,
    tools=all_tools
)

chat = model.start_chat()
response = chat.send_message(user_message)

Frequently Asked Questions

Everything you need to know about connecting to these MCP servers

Ready to Get Started?

Join developers who are already using KlavisAI to power their Google Gemini applications with these MCP servers.

Start For Free

ConnectGeminito LinkedIn, Cloudflare, Resend MCP Servers

LinkedIn