KlavisAIKlavisAI
Sign Up

Connectto Airtable, Shopify, Monday MCP Servers

Create powerful AI workflows by connecting multiple MCP servers including Airtable, Shopify, Monday for enhanced automation capabilities in Klavis AI.

Get Started FreeView All MCP Servers
Airtable icon

Airtable

featured

Airtable is a cloud-based database and spreadsheet platform that combines the flexibility of a spreadsheet with the power of a database, enabling teams to organize, track, and collaborate on projects with customizable views and powerful automation features

Available Tools:

  • airtable_list_bases_info
  • airtable_list_tables_info
  • airtable_create_table
  • +8 more tools
Shopify icon

Shopify

featured

Shopify is a complete commerce platform that lets you start, grow, and manage a business. Manage products, process orders, track customers, and build your online store with powerful e-commerce tools

Available Tools:

  • shopify_list_products
  • shopify_get_product
  • shopify_create_product
  • +6 more tools
Monday icon

Monday

featured

Monday.com is a work operating system that powers teams to run projects and workflows with confidence. Create boards, manage items, customize columns, organize groups, and collaborate with team members in a visual workspace

Available Tools:

  • monday_get_users_by_name
  • monday_get_boards
  • monday_create_board
  • +9 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 = ["Airtable", "Shopify", "Monday"]
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

Ready to Get Started?

Join developers who are already using KlavisAI to power their AI agents and AI applications with these MCP servers.

Start For Free