Connectto Zendesk, Supabase, Firecrawl Web Search MCP Servers
Create powerful AI workflows by connecting multiple MCP servers including Zendesk, Supabase, Firecrawl Web Search for enhanced automation capabilities in Klavis AI.
Zendesk
Zendesk is a customer service software company
Supabase
Supabase official MCP Server
Available Tools:
- supabase_list_projects
- supabase_get_project
- supabase_get_cost
- +21 more tools
Firecrawl Web Search
Advanced web crawling, scraping, and search capabilities powered by Firecrawl
Available Tools:
- firecrawl_scrape
- firecrawl_map
- firecrawl_crawl
- +6 more tools
Quick Setup Guide
Follow these steps to connect Google Gemini to these MCP servers
Create Your Account
Sign up for KlavisAI to access our MCP server management platform.
Configure Connections
Add your desired MCP servers to Gemini and configure authentication settings.
Test & Deploy
Verify your connections work correctly and start using your enhanced AI capabilities.
Google Gemini + KlavisAI Integration Snippets
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"))
# Constants
GEMINI_MODEL = "gemini-2.5-flash"
user_message = "Your query here"
zendesk_mcp_instance = klavis_client.mcp_server.create_server_instance(
server_name=McpServerName.ZENDESK,
user_id="1234",
platform_name="Klavis",
connection_type=ConnectionType.STREAMABLE_HTTP,
)
supabase_mcp_instance = klavis_client.mcp_server.create_server_instance(
server_name=McpServerName.SUPABASE,
user_id="1234",
platform_name="Klavis",
connection_type=ConnectionType.STREAMABLE_HTTP,
)
firecrawl_web_search_mcp_instance = klavis_client.mcp_server.create_server_instance(
server_name=McpServerName.FIRECRAWL_WEB_SEARCH,
user_id="1234",
platform_name="Klavis",
connection_type=ConnectionType.STREAMABLE_HTTP,
)
# Get tools from all MCP servers
zendesk_tools = klavis_client.mcp_server.list_tools(
server_url=zendesk_mcp_instance.server_url,
connection_type=ConnectionType.STREAMABLE_HTTP,
format=ToolFormat.GEMINI,
)
supabase_tools = klavis_client.mcp_server.list_tools(
server_url=supabase_mcp_instance.server_url,
connection_type=ConnectionType.STREAMABLE_HTTP,
format=ToolFormat.GEMINI,
)
firecrawl_web_search_tools = klavis_client.mcp_server.list_tools(
server_url=firecrawl_web_search_mcp_instance.server_url,
connection_type=ConnectionType.STREAMABLE_HTTP,
format=ToolFormat.GEMINI,
)
# Combine all tools
all_tools = []
all_tools.extend(zendesk_tools.tools)
all_tools.extend(supabase_tools.tools)
all_tools.extend(firecrawl_web_search_tools.tools)
model = genai.GenerativeModel(
model_name=GEMINI_MODEL,
tools=all_tools
)
chat = model.start_chat()
response = chat.send_message(user_message)Frequently Asked Questions
Everything you need to know about connecting to these MCP servers
Ready to Get Started?
Join developers who are already using KlavisAI to power their Google Gemini applications with these MCP servers.
Start For Free