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Connectto Moneybird, Plai, Exa MCP Servers

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

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Moneybird icon

Moneybird

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Moneybird is an online accounting software for entrepreneurs and small businesses. Manage contacts, create invoices, track time entries, handle financial accounts, and organize projects with comprehensive bookkeeping features

Available Tools:

  • moneybird_list_administrations
  • moneybird_list_contacts
  • moneybird_get_contact
  • +9 more tools
Plai icon

Plai

featured

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
Exa icon

Exa

featured

Exa is an AI-powered search engine designed for AI applications. Use neural search to understand meaning and context, find similar content, get direct answers with citations, and conduct comprehensive research with structured analysis

Available Tools:

  • exa_search
  • exa_get_contents
  • exa_find_similar
  • +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 = ["Moneybird", "Plai", "Exa"]
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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