Create powerful AI workflows by connecting multiple MCP servers including Pipedrive, Fireflies for enhanced automation capabilities in Klavis AI.
Pipedrive is a sales CRM and pipeline management tool. Manage deals, contacts, organizations, activities, and track your sales pipeline via OpenAPI integration
Fireflies.ai is an AI meeting assistant that automatically records, transcribes, and summarizes your meetings across Zoom, Google Meet, Teams, and other platforms. Extract action items, key insights, and searchable notes from all your 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"
pipedrive_mcp_instance = klavis_client.mcp_server.create_server_instance(
server_name=McpServerName.PIPEDRIVE,
user_id="1234",
connection_type=ConnectionType.STREAMABLE_HTTP,
)
fireflies_mcp_instance = klavis_client.mcp_server.create_server_instance(
server_name=McpServerName.FIREFLIES,
user_id="1234",
connection_type=ConnectionType.STREAMABLE_HTTP,
)
# Get tools from all MCP servers
pipedrive_tools = klavis_client.mcp_server.list_tools(
server_url=pipedrive_mcp_instance.server_url,
connection_type=ConnectionType.STREAMABLE_HTTP,
format=ToolFormat.GEMINI,
)
fireflies_tools = klavis_client.mcp_server.list_tools(
server_url=fireflies_mcp_instance.server_url,
connection_type=ConnectionType.STREAMABLE_HTTP,
format=ToolFormat.GEMINI,
)
# Combine all tools
all_tools = []
all_tools.extend(pipedrive_tools.tools)
all_tools.extend(fireflies_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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