Connectto Dialpad, Fathom MCP Servers

Create powerful collaborative AI workflows by connecting multiple MCP servers including Dialpad, Fathom for enhanced multi-agent automation capabilities in Klavis AI.

Dialpad icon

Dialpad

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Dialpad is a cloud-based business phone system with AI-powered voice intelligence. Make calls, send messages, manage contacts, and analyze conversations via OpenAPI integration

Fathom icon

Fathom

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Fathom is an AI meeting assistant that records, transcribes, and summarizes your video calls. Automatically capture meeting notes, action items, and key insights from Zoom, Google Meet, and Microsoft Teams meetings

Quick Setup Guide

Follow these steps to connect CrewAI to these MCP servers

1

Create Your Account

Sign up for KlavisAI to access our MCP server management platform.

2

Configure Agents & Tools

Set up your CrewAI agents with your desired MCP servers tools and configure authentication settings for collaborative workflows.

3

Deploy Your Crew

Test your multi-agent workflows and start using your enhanced collaborative AI capabilities.

CrewAI + KlavisAI Integration Snippets

import os
from crewai import Agent, Task, Crew, Process
from crewai_tools import MCPServerAdapter
from klavis import Klavis
from klavis.types import McpServerName, ConnectionType

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

dialpad_mcp_instance = klavis_client.mcp_server.create_server_instance(
    server_name=McpServerName.DIALPAD,
    user_id="1234",
    connection_type=ConnectionType.STREAMABLE_HTTP,
)

fathom_mcp_instance = klavis_client.mcp_server.create_server_instance(
    server_name=McpServerName.FATHOM,
    user_id="1234",
    connection_type=ConnectionType.STREAMABLE_HTTP,
)

# Initialize MCP tools for each server
dialpad_tools = MCPServerAdapter(dialpad_mcp_instance.server_params)
fathom_tools = MCPServerAdapter(fathom_mcp_instance.server_params)

# Create specialized agents for each service
dialpad_agent = Agent(
    role="Dialpad Specialist",
    goal="Handle all Dialpad related tasks and data processing",
    backstory="You are an expert in Dialpad operations and data analysis",
    tools=dialpad_tools,
    reasoning=True,
    verbose=False
)

fathom_agent = Agent(
    role="Fathom Specialist",
    goal="Handle all Fathom related tasks and data processing",
    backstory="You are an expert in Fathom operations and data analysis",
    tools=fathom_tools,
    reasoning=True,
    verbose=False
)

# Define collaborative tasks
research_task = Task(
    description="Gather comprehensive data from all available sources",
    expected_output="Raw data and initial findings from all services",
    agent=dialpad_agent,
    markdown=True
)

analysis_task = Task(
    description="Analyze and synthesize the gathered data",
    expected_output="Comprehensive analysis with insights and recommendations",
    agent=fathom_agent,
    markdown=True
)

# Create multi-agent crew
multi_agent_crew = Crew(
    agents=[dialpad_agent, fathom_agent],
    tasks=[research_task, analysis_task],
    verbose=False,
    process=Process.sequential
)

result = multi_agent_crew.kickoff()

Frequently Asked Questions

Everything you need to know about connecting CrewAI to these MCP servers

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