Connectto Google Calendar, Figma, Resend MCP Servers

Create powerful AI workflows by connecting multiple MCP servers including Google Calendar, Figma, Resend for enhanced automation capabilities in Klavis AI.

Google Calendar icon

Google Calendar

featured

Google Calendar is a time-management and scheduling calendar service

Available Tools:

  • google_calendar_list_calendars
  • google_calendar_create_event
  • google_calendar_list_events
  • +2 more tools
Figma icon

Figma

featured

Figma is a collaborative interface design tool for web and mobile applications.

Resend icon

Resend

featured

Resend is a modern email API for sending and receiving emails programmatically

Available Tools:

  • resend_send_email
  • resend_create_audience
  • resend_get_audience
  • +12 more tools

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"))

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

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

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

mcp_client = MultiServerMCPClient({
    "google calendar": {
        "transport": "streamable_http",
        "url": google_calendar_mcp_instance.server_url
    },
    "figma": {
        "transport": "streamable_http",
        "url": figma_mcp_instance.server_url
    },
    "resend": {
        "transport": "streamable_http",
        "url": resend_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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