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Connectto Moneybird, Freshdesk, Mem0 MCP Servers

Create powerful AI workflows by connecting multiple MCP servers including Moneybird, Freshdesk, Mem0 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
Freshdesk icon

Freshdesk

featured

Freshdesk is a cloud-based customer support software that helps businesses manage customer inquiries across multiple channels. Create and manage tickets, contacts, companies, and agents with powerful automation and collaboration features

Available Tools:

  • freshdesk_create_ticket
  • freshdesk_get_ticket_by_id
  • freshdesk_update_ticket
  • +52 more tools
Mem0 icon

Mem0

featured

Mem0 is an intelligent memory layer for AI applications that provides long-term memory storage and retrieval. Store code snippets, implementation details, and programming knowledge for seamless context retention across conversations

Available Tools:

  • mem0_add_memory
  • mem0_get_all_memories
  • mem0_search_memories
  • +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", "Freshdesk", "Mem0"]
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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