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Connectto Google Sheets, Heygen, Google Jobs MCP Servers

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

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Google Sheets icon

Google Sheets

featured

Google Sheets is a web-based spreadsheet application that allows users to create, edit, and collaborate on spreadsheets online

Available Tools:

  • google_sheets_create_spreadsheet
  • google_sheets_get_spreadsheet
  • google_sheets_write_to_cell
  • +1 more tools
Heygen icon

Heygen

featured

HeyGen is an AI video generation platform that creates professional videos with AI avatars and voices. Generate avatar videos with customizable text, voices, and avatars, manage your video library, and track generation status

Available Tools:

  • heygen_get_remaining_credits
  • heygen_get_voices
  • heygen_get_voice_locales
  • +7 more tools
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 your AI agents 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 your AI client and configure authentication settings.

3

Test & Deploy

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

Integrate in minutes, Scale to millions

View Documentation
from klavis import Klavis

klavis_client = Klavis(api_key="KLAVIS_API_KEY")

servers = ["Google Sheets", "Heygen", "Google Jobs"]
responses = []

for server in servers:
    mcp_server = klavis_client.mcp_server.create_server_instance(
        server_name=server,
        user_id="<USER_ID>",
        platform_name="<PLATFORM_NAME>"
    )
    responses.append(mcp_server)

Frequently Asked Questions

Everything you need to know about connecting to these MCP servers

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