Create powerful AI workflows by connecting multiple MCP servers including Freshdesk, Monday, Mem0 for enhanced automation capabilities in Klavis AI.
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
Monday.com is a work operating system that powers teams to run projects and workflows with confidence. Create boards, manage items, customize columns, organize groups, and collaborate with team members in a visual workspace
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
Follow these steps to connect Google Gemini to these MCP servers
Sign up for KlavisAI to access our MCP server management platform.
Add your desired MCP servers to Gemini and configure authentication settings.
Verify your connections work correctly and start using your enhanced AI capabilities.
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"
freshdesk_mcp_instance = klavis_client.mcp_server.create_server_instance(
server_name=McpServerName.FRESHDESK,
user_id="1234",
platform_name="Klavis",
connection_type=ConnectionType.STREAMABLE_HTTP,
)
monday_mcp_instance = klavis_client.mcp_server.create_server_instance(
server_name=McpServerName.MONDAY,
user_id="1234",
platform_name="Klavis",
connection_type=ConnectionType.STREAMABLE_HTTP,
)
mem0_mcp_instance = klavis_client.mcp_server.create_server_instance(
server_name=McpServerName.MEM0,
user_id="1234",
platform_name="Klavis",
connection_type=ConnectionType.STREAMABLE_HTTP,
)
# Get tools from all MCP servers
freshdesk_tools = klavis_client.mcp_server.list_tools(
server_url=freshdesk_mcp_instance.server_url,
connection_type=ConnectionType.STREAMABLE_HTTP,
format=ToolFormat.GEMINI,
)
monday_tools = klavis_client.mcp_server.list_tools(
server_url=monday_mcp_instance.server_url,
connection_type=ConnectionType.STREAMABLE_HTTP,
format=ToolFormat.GEMINI,
)
mem0_tools = klavis_client.mcp_server.list_tools(
server_url=mem0_mcp_instance.server_url,
connection_type=ConnectionType.STREAMABLE_HTTP,
format=ToolFormat.GEMINI,
)
# Combine all tools
all_tools = []
all_tools.extend(freshdesk_tools.tools)
all_tools.extend(monday_tools.tools)
all_tools.extend(mem0_tools.tools)
response = client.models.generate_content(
model="gemini-2.5-flash",
contents=user_message,
config=genai.types.GenerateContentConfig(
tools=all_tools,
),
)
Everything you need to know about connecting to these MCP servers
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