Connectto Close, ClickUp, Motion MCP Servers

Create powerful AI workflows by connecting multiple MCP servers including Close, ClickUp, Motion for enhanced automation capabilities in Klavis AI.

Close icon

Close

featured

Close is a modern CRM platform built for sales teams, providing powerful lead management, contact organization, and sales pipeline tracking to help businesses close more deals

Available Tools:

  • close_create_lead
  • close_get_lead
  • close_search_leads
  • +20 more tools
ClickUp icon

ClickUp

featured

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
Motion icon

Motion

featured

Motion is an intelligent project management and calendar application that automatically schedules your tasks, meetings, and projects to optimize your productivity and help you focus on what matters most

Available Tools:

  • motion_get_workspaces
  • motion_get_users
  • motion_get_my_user
  • +11 more tools

Quick Setup Guide

Follow these steps to connect LlamaIndex 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 LlamaIndex and configure authentication settings.

3

Test & Deploy

Verify your connections work correctly and start using your enhanced AI capabilities.

LlamaIndex + KlavisAI Integration Snippets

import os
from klavis import Klavis
from klavis.types import McpServerName, ConnectionType
from llama_index.tools.mcp import (
    BasicMCPClient,
    get_tools_from_mcp_url,
    aget_tools_from_mcp_url,
)
from llama_index.core.agent.workflow import FunctionAgent, AgentWorkflow

# Initialize clients
klavis_client = Klavis(api_key=os.getenv("KLAVIS_API_KEY"))

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

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,
)

motion_mcp_instance = klavis_client.mcp_server.create_server_instance(
    server_name=McpServerName.MOTION,
    user_id="1234",
    platform_name="Klavis",
    connection_type=ConnectionType.STREAMABLE_HTTP,
)
close_tools = await aget_tools_from_mcp_url(
    close_mcp_instance.server_url, 
    client=BasicMCPClient(close_mcp_instance.server_url)
)
clickup_tools = await aget_tools_from_mcp_url(
    clickup_mcp_instance.server_url, 
    client=BasicMCPClient(clickup_mcp_instance.server_url)
)
motion_tools = await aget_tools_from_mcp_url(
    motion_mcp_instance.server_url, 
    client=BasicMCPClient(motion_mcp_instance.server_url)
)

close_agent = FunctionAgent(
    name="close_agent",
    tools=close_tools,
    llm=llm,
)

clickup_agent = FunctionAgent(
    name="clickup_agent",
    tools=clickup_tools,
    llm=llm,
)

motion_agent = FunctionAgent(
    name="motion_agent",
    tools=motion_tools,
    llm=llm,
)
workflow = AgentWorkflow(
    agents=[close_agent, clickup_agent, motion_agent],
    root_agent="close_agent",
)

Frequently Asked Questions

Everything you need to know about connecting to these MCP servers

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