Seamlessly integrate your Google Gemini applications with Attio using Klavis AI's comprehensive MCP server connection guide.
Attio is a next-generation CRM platform that helps teams build stronger relationships with their customers through powerful data management and automation
Follow these steps to connect Google Gemini to this MCP server
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Add the MCP server to Gemini and configure authentication settings.
Verify your connections work correctly and start using your enhanced AI capabilities.
import os
import google.generativeai as genai
from klavis import Klavis
from klavis.types import McpServerName, ConnectionType, ToolFormat
# Initialize clients
genai.configure(api_key=os.getenv("GOOGLE_AI_API_KEY"))
klavis_client = Klavis(api_key=os.getenv("KLAVIS_API_KEY"))
GEMINI_MODEL = "gemini-2.5-flash"
user_message = "Your query here"
attio_mcp_instance = klavis_client.mcp_server.create_server_instance(
server_name=McpServerName.ATTIO,
user_id="1234",
platform_name="Klavis",
connection_type=ConnectionType.STREAMABLE_HTTP,
)
mcp_tools = klavis_client.mcp_server.list_tools(
server_url=attio_mcp_instance.server_url,
connection_type=ConnectionType.STREAMABLE_HTTP,
format=ToolFormat.GEMINI,
)
model = genai.GenerativeModel(
model_name=GEMINI_MODEL,
tools=mcp_tools.tools
)
chat = model.start_chat()
response = chat.send_message(user_message)
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