Connectto Asana, OneDrive, HubSpot MCP Servers

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

Asana icon

Asana

featured

Asana is a web and mobile application designed to help teams organize, track, and manage their work. It provides project management tools, task assignment, collaboration features, and progress tracking to boost team productivity

Available Tools:

  • asana_create_task
  • asana_get_task
  • asana_search_tasks
  • +16 more tools
OneDrive icon

OneDrive

coming soon

OneDrive is a file hosting service and synchronization service operated by Microsoft

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 LangChain 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 LangChain and configure authentication settings.

3

Test & Deploy

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

LangChain + KlavisAI Integration Snippets

import os
import asyncio
from klavis import Klavis
from klavis.types import McpServerName, ConnectionType
from langchain_mcp_adapters.client import MultiServerMCPClient
from langgraph.prebuilt import create_react_agent
from langchain_openai import ChatOpenAI

# Initialize clients
klavis_client = Klavis(api_key=os.getenv("KLAVIS_API_KEY"))
llm = ChatOpenAI(model="gpt-4o-mini", api_key=os.getenv("OPENAI_API_KEY"))

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

onedrive_mcp_instance = klavis_client.mcp_server.create_server_instance(
    server_name=McpServerName.ONEDRIVE,
    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,
)

mcp_client = MultiServerMCPClient({
    "asana": {
        "transport": "streamable_http",
        "url": asana_mcp_instance.server_url
    },
    "onedrive": {
        "transport": "streamable_http",
        "url": onedrive_mcp_instance.server_url
    },
    "hubspot": {
        "transport": "streamable_http",
        "url": hubspot_mcp_instance.server_url
    }
})

tools = asyncio.run(mcp_client.get_tools())

agent = create_react_agent(
    model=llm,
    tools=tools,
)

response = asyncio.run(agent.ainvoke({
    "messages": [{"role": "user", "content": "Your query here"}]
}))

Frequently Asked Questions

Everything you need to know about connecting to these MCP servers

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