Connectto Attio, Calendly, Figma MCP Servers

Create powerful AI workflows by connecting multiple MCP servers including Attio, Calendly, Figma for enhanced automation capabilities in Klavis AI.

Attio icon

Attio

featured

Attio is a next-generation CRM platform that helps teams build stronger relationships with their customers through powerful data management and automation

Available Tools:

  • attio_search_people
  • attio_search_companies
  • attio_search_deals
  • +2 more tools
Calendly icon

Calendly

coming soon

Manage scheduling and appointments with your agents.

Figma icon

Figma

featured

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

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"))

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

calendly_mcp_instance = klavis_client.mcp_server.create_server_instance(
    server_name=McpServerName.CALENDLY,
    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,
)
attio_tools = await aget_tools_from_mcp_url(
    attio_mcp_instance.server_url, 
    client=BasicMCPClient(attio_mcp_instance.server_url)
)
calendly_tools = await aget_tools_from_mcp_url(
    calendly_mcp_instance.server_url, 
    client=BasicMCPClient(calendly_mcp_instance.server_url)
)
figma_tools = await aget_tools_from_mcp_url(
    figma_mcp_instance.server_url, 
    client=BasicMCPClient(figma_mcp_instance.server_url)
)

attio_agent = FunctionAgent(
    name="attio_agent",
    tools=attio_tools,
    llm=llm,
)

calendly_agent = FunctionAgent(
    name="calendly_agent",
    tools=calendly_tools,
    llm=llm,
)

figma_agent = FunctionAgent(
    name="figma_agent",
    tools=figma_tools,
    llm=llm,
)
workflow = AgentWorkflow(
    agents=[attio_agent, calendly_agent, figma_agent],
    root_agent="attio_agent",
)

Frequently Asked Questions

Everything you need to know about connecting to these MCP servers

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