Connectto Gmail, Cloudflare, Google Jobs MCP Servers

Create powerful AI workflows by connecting multiple MCP servers including Gmail, Cloudflare, Google Jobs for enhanced automation capabilities in Klavis AI.

Gmail icon

Gmail

featured

Gmail is a free email service provided by Google

Available Tools:

  • gmail_send_email
  • gmail_draft_email
  • gmail_read_email
  • +5 more tools
Cloudflare icon

Cloudflare

coming soon

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

Google Jobs icon

Google Jobs

featured

Google Jobs is a comprehensive job search platform that aggregates listings from across the web. Search for jobs by location, company, employment type, and more, with detailed information about requirements, benefits, and application processes

Available Tools:

  • google_jobs_search
  • google_jobs_get_details
  • google_jobs_search_by_company
  • +2 more tools

Quick Setup Guide

Follow these steps to connect Google Gemini to these MCP servers

1

Create Your Account

Sign up for KlavisAI to access our MCP server management platform.

2

Configure Connections

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

3

Test & Deploy

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

Google Gemini + KlavisAI Integration Snippets

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"

gmail_mcp_instance = klavis_client.mcp_server.create_server_instance(
    server_name=McpServerName.GMAIL,
    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,
)

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

# Get tools from all MCP servers
gmail_tools = klavis_client.mcp_server.list_tools(
    server_url=gmail_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,
)
google_jobs_tools = klavis_client.mcp_server.list_tools(
    server_url=google_jobs_mcp_instance.server_url,
    connection_type=ConnectionType.STREAMABLE_HTTP,
    format=ToolFormat.GEMINI,
)

# Combine all tools
all_tools = []
all_tools.extend(gmail_tools.tools)
all_tools.extend(cloudflare_tools.tools)
all_tools.extend(google_jobs_tools.tools)

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

Frequently Asked Questions

Everything you need to know about connecting to these MCP servers

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