Connectto Gong, HubSpot MCP Servers

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

Gong icon

Gong

featured

Gong is a revenue intelligence platform that captures and analyzes all revenue-related interactions to help sales teams close more deals. It provides conversation analytics, deal insights, and sales performance tracking through call recordings and transcripts

Available Tools:

  • gong_get_transcripts_by_user
  • gong_get_extensive_data
  • gong_get_call_transcripts
  • +2 more tools
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 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"))

gong_mcp_instance = klavis_client.mcp_server.create_server_instance(
    server_name=McpServerName.GONG,
    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,
)

# Initialize MCP tools for each server
gong_tools = MCPServerAdapter(gong_mcp_instance.server_params)
hubspot_tools = MCPServerAdapter(hubspot_mcp_instance.server_params)

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

hubspot_agent = Agent(
    role="HubSpot Specialist",
    goal="Handle all HubSpot related tasks and data processing",
    backstory="You are an expert in HubSpot operations and data analysis",
    tools=hubspot_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=gong_agent,
    markdown=True
)

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

# Create multi-agent crew
multi_agent_crew = Crew(
    agents=[gong_agent, hubspot_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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