Connectto Klavis ReportGen MCP Server
Seamlessly integrate your Google Gemini applications with Klavis ReportGen using Klavis AI's comprehensive MCP server connection guide.
Klavis ReportGen
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Generate visually appealing JavaScript web reports from search queries with Klavis AI.
Available Tools:
- generate_web_reports
Quick Setup Guide
Follow these steps to connect Google Gemini to this MCP server
1
Create Your Account
Sign up for KlavisAI to access our MCP server management platform.
2
Configure Connections
Add the MCP server 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
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"
klavis_reportgen_mcp_instance = klavis_client.mcp_server.create_server_instance(
server_name=McpServerName.KLAVIS_REPORTGEN,
user_id="1234",
platform_name="Klavis",
connection_type=ConnectionType.STREAMABLE_HTTP,
)
mcp_tools = klavis_client.mcp_server.list_tools(
server_url=klavis_reportgen_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)Frequently Asked Questions
Everything you need to know about connecting to this MCP server
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