Connectto Mixpanel, Moneybird, Exa MCP Servers

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

Mixpanel icon

Mixpanel

featured

Mixpanel is a powerful product analytics platform that helps teams understand user behavior, track events, analyze conversion funnels, measure retention, and make data-driven decisions with real-time insights and advanced segmentation capabilities

Available Tools:

  • mixpanel_send_events
  • mixpanel_get_events
  • mixpanel_get_event_properties
  • +6 more tools
Moneybird icon

Moneybird

featured

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
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 Google Gemini 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 Gemini and configure authentication settings.

3

Test & Deploy

Verify your connections work correctly and start using your enhanced AI capabilities.

Google Gemini + KlavisAI Integration Snippets

import os
from google import genai
from klavis import Klavis
from klavis.types import McpServerName, ConnectionType, ToolFormat

# Initialize clients
klavis_client = Klavis(api_key=os.getenv("KLAVIS_API_KEY"))
client = genai.Client(api_key=os.getenv("GOOGLE_API_KEY"))

user_message = "Your query here"

mixpanel_mcp_instance = klavis_client.mcp_server.create_server_instance(
    server_name=McpServerName.MIXPANEL,
    user_id="1234",
    platform_name="Klavis",
    connection_type=ConnectionType.STREAMABLE_HTTP,
)

moneybird_mcp_instance = klavis_client.mcp_server.create_server_instance(
    server_name=McpServerName.MONEYBIRD,
    user_id="1234",
    platform_name="Klavis",
    connection_type=ConnectionType.STREAMABLE_HTTP,
)

exa_mcp_instance = klavis_client.mcp_server.create_server_instance(
    server_name=McpServerName.EXA,
    user_id="1234",
    platform_name="Klavis",
    connection_type=ConnectionType.STREAMABLE_HTTP,
)

# Get tools from all MCP servers
mixpanel_tools = klavis_client.mcp_server.list_tools(
    server_url=mixpanel_mcp_instance.server_url,
    connection_type=ConnectionType.STREAMABLE_HTTP,
    format=ToolFormat.GEMINI,
)
moneybird_tools = klavis_client.mcp_server.list_tools(
    server_url=moneybird_mcp_instance.server_url,
    connection_type=ConnectionType.STREAMABLE_HTTP,
    format=ToolFormat.GEMINI,
)
exa_tools = klavis_client.mcp_server.list_tools(
    server_url=exa_mcp_instance.server_url,
    connection_type=ConnectionType.STREAMABLE_HTTP,
    format=ToolFormat.GEMINI,
)

# Combine all tools
all_tools = []
all_tools.extend(mixpanel_tools.tools)
all_tools.extend(moneybird_tools.tools)
all_tools.extend(exa_tools.tools)

response = client.models.generate_content(
    model="gemini-2.5-flash",
    contents=user_message,
    config=genai.types.GenerateContentConfig(
        tools=all_tools,
    ),
)

Frequently Asked Questions

Everything you need to know about connecting to these MCP servers

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