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Connectto OpenRouter, Shopify, Google Jobs MCP Servers

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

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OpenRouter icon

OpenRouter

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Access to multiple AI models through a unified API. Generate chat completions, compare model performance, manage usage and costs, get model recommendations, and analyze model capabilities across various providers like OpenAI, Anthropic, Meta, Google, and more

Available Tools:

  • openrouter_list_models
  • openrouter_search_models
  • openrouter_get_model_pricing
  • +11 more tools
Shopify icon

Shopify

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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
Google Jobs icon

Google Jobs

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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 = ["OpenRouter", "Shopify", "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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