Connectto Confluence, LinkedIn, HubSpot MCP Servers

Create powerful AI workflows by connecting multiple MCP servers including Confluence, LinkedIn, HubSpot for enhanced automation capabilities in Klavis AI.

Confluence icon

Confluence

featured

Confluence is a team workspace where knowledge and collaboration meet

Available Tools:

  • confluence_create_page
  • confluence_get_page
  • confluence_get_pages_by_id
  • +11 more tools
LinkedIn icon

LinkedIn

coming soon

LinkedIn is a business and employment-oriented online service

HubSpot icon

HubSpot

coming soon

HubSpot is a developer and marketer of software products for inbound marketing, sales, and customer service

Quick Setup Guide

Follow these steps to connect Google Gemini to these MCP servers

1

Create Your Account

Sign up for KlavisAI to access our MCP server management platform.

2

Configure Connections

Add your desired MCP servers 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"))

# Constants
GEMINI_MODEL = "gemini-2.5-flash"
user_message = "Your query here"

confluence_mcp_instance = klavis_client.mcp_server.create_server_instance(
    server_name=McpServerName.CONFLUENCE,
    user_id="1234",
    platform_name="Klavis",
    connection_type=ConnectionType.STREAMABLE_HTTP,
)

linkedin_mcp_instance = klavis_client.mcp_server.create_server_instance(
    server_name=McpServerName.LINKEDIN,
    user_id="1234",
    platform_name="Klavis",
    connection_type=ConnectionType.STREAMABLE_HTTP,
)

hubspot_mcp_instance = klavis_client.mcp_server.create_server_instance(
    server_name=McpServerName.HUBSPOT,
    user_id="1234",
    platform_name="Klavis",
    connection_type=ConnectionType.STREAMABLE_HTTP,
)

# Get tools from all MCP servers
confluence_tools = klavis_client.mcp_server.list_tools(
    server_url=confluence_mcp_instance.server_url,
    connection_type=ConnectionType.STREAMABLE_HTTP,
    format=ToolFormat.GEMINI,
)
linkedin_tools = klavis_client.mcp_server.list_tools(
    server_url=linkedin_mcp_instance.server_url,
    connection_type=ConnectionType.STREAMABLE_HTTP,
    format=ToolFormat.GEMINI,
)
hubspot_tools = klavis_client.mcp_server.list_tools(
    server_url=hubspot_mcp_instance.server_url,
    connection_type=ConnectionType.STREAMABLE_HTTP,
    format=ToolFormat.GEMINI,
)

# Combine all tools
all_tools = []
all_tools.extend(confluence_tools.tools)
all_tools.extend(linkedin_tools.tools)
all_tools.extend(hubspot_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

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