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Connectto HubSpot, Plai, OpenRouter MCP Servers

Create powerful AI workflows by connecting multiple MCP servers including HubSpot, Plai, OpenRouter for enhanced automation capabilities in Klavis AI.

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HubSpot icon

HubSpot

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HubSpot is a developer and marketer of software products for inbound marketing, sales, and customer service

Available Tools:

  • hubspot_list_properties
  • hubspot_search_by_property
  • hubspot_get_contacts
  • +21 more tools
Plai icon

Plai

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Plai is an AI-powered advertising platform that simplifies creating, managing, and optimizing Facebook, Instagram, and LinkedIn ad campaigns. It provides tools for lead generation, campaign insights, and automated ad management to help businesses scale their digital marketing efforts effectively.

Available Tools:

  • plai_create_user_profile
  • plai_get_user_profile
  • plai_create_link
  • +7 more tools
OpenRouter icon

OpenRouter

featured

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

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 = ["HubSpot", "Plai", "OpenRouter"]
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

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