Connectto ClickUp MCP Server

Seamlessly integrate your Google Gemini applications with ClickUp using Klavis AI's comprehensive MCP server connection guide.

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ClickUp

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ClickUp is a comprehensive project management and productivity platform that helps teams organize tasks, manage projects, and collaborate effectively with customizable workflows and powerful tracking features

Available Tools:

  • clickup_get_teams
  • clickup_get_workspaces
  • clickup_get_spaces
  • +18 more tools

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"

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

mcp_tools = klavis_client.mcp_server.list_tools(
    server_url=clickup_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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