Connectto YouTube, Calendly, Google Docs MCP Servers

Create powerful AI workflows by connecting multiple MCP servers including YouTube, Calendly, Google Docs 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.

Google Docs icon

Google Docs

featured

Google Docs is a word processor included as part of the free, web-based Google Docs Editors suite

Available Tools:

  • google_docs_get_document_by_id
  • google_docs_get_all_documents
  • google_docs_insert_text_at_end
  • +2 more tools

Quick Setup Guide

Follow these steps to connect OpenAI 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 OpenAI and configure authentication settings.

3

Test & Deploy

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

OpenAI + KlavisAI Integration Snippets

import json
import os
from openai import OpenAI
from klavis import Klavis
from klavis.types import McpServerName, ConnectionType, ToolFormat

# Initialize clients
openai_client = OpenAI(api_key=os.getenv("OPENAI_API_KEY"))
klavis_client = Klavis(api_key=os.getenv("KLAVIS_API_KEY"))

# Constants
OPENAI_MODEL = "gpt-4o-mini"

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,
)

google_docs_mcp_instance = klavis_client.mcp_server.create_server_instance(
    server_name=McpServerName.GOOGLE_DOCS,
    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.OPENAI,
)
calendly_tools = klavis_client.mcp_server.list_tools(
    server_url=calendly_mcp_instance.server_url,
    connection_type=ConnectionType.STREAMABLE_HTTP,
    format=ToolFormat.OPENAI,
)
google_docs_tools = klavis_client.mcp_server.list_tools(
    server_url=google_docs_mcp_instance.server_url,
    connection_type=ConnectionType.STREAMABLE_HTTP,
    format=ToolFormat.OPENAI,
)

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

messages = [
    {"role": "system", "content": "You are a helpful assistant."},
    {"role": "user", "content": user_message}
]
        
response = openai_client.chat.completions.create(
    model=OPENAI_MODEL,
    messages=messages,
    tools=all_tools if all_tools else None
)

Frequently Asked Questions

Everything you need to know about connecting to these MCP servers

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