Connectto YouTube, Calendly, Supabase MCP Servers

Create powerful AI workflows by connecting multiple MCP servers including YouTube, Calendly, Supabase for enhanced automation capabilities in Klavis AI.

YouTube icon

YouTube

featured

Extract and convert YouTube video information to markdown format

Available Tools:

  • get_youtube_video_transcript
Calendly icon

Calendly

coming soon

Manage scheduling and appointments with your agents.

Supabase icon

Supabase

featured

Supabase official MCP Server

Available Tools:

  • supabase_list_projects
  • supabase_get_project
  • supabase_get_cost
  • +21 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
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"

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

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

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

# Get tools from all MCP servers
youtube_tools = klavis_client.mcp_server.list_tools(
    server_url=youtube_mcp_instance.server_url,
    connection_type=ConnectionType.STREAMABLE_HTTP,
    format=ToolFormat.GEMINI,
)
calendly_tools = klavis_client.mcp_server.list_tools(
    server_url=calendly_mcp_instance.server_url,
    connection_type=ConnectionType.STREAMABLE_HTTP,
    format=ToolFormat.GEMINI,
)
supabase_tools = klavis_client.mcp_server.list_tools(
    server_url=supabase_mcp_instance.server_url,
    connection_type=ConnectionType.STREAMABLE_HTTP,
    format=ToolFormat.GEMINI,
)

# Combine all tools
all_tools = []
all_tools.extend(youtube_tools.tools)
all_tools.extend(calendly_tools.tools)
all_tools.extend(supabase_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