Connectto Notion, Gong, Perplexity MCP Servers
Create powerful collaborative AI workflows by connecting multiple MCP servers including Notion, Gong, Perplexity for enhanced multi-agent automation capabilities in Klavis AI.
Notion
Notion is a collaborative productivity and note-taking application
Available Tools:
- notion_get_user
- notion_get_users
- notion_get_self
- +10 more tools
Gong
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
Perplexity
Perplexity is an AI research assistant that provides accurate answers and cites sources
Quick Setup Guide
Follow these steps to connect CrewAI to these MCP servers
Create Your Account
Sign up for KlavisAI to access our MCP server management platform.
Configure Agents & Tools
Set up your CrewAI agents with your desired MCP servers tools and configure authentication settings for collaborative workflows.
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"))
notion_mcp_instance = klavis_client.mcp_server.create_server_instance(
server_name=McpServerName.NOTION,
user_id="1234",
platform_name="Klavis",
connection_type=ConnectionType.STREAMABLE_HTTP,
)
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,
)
perplexity_mcp_instance = klavis_client.mcp_server.create_server_instance(
server_name=McpServerName.PERPLEXITY,
user_id="1234",
platform_name="Klavis",
connection_type=ConnectionType.STREAMABLE_HTTP,
)
# Initialize MCP tools for each server
notion_tools = MCPServerAdapter(notion_mcp_instance.server_params)
gong_tools = MCPServerAdapter(gong_mcp_instance.server_params)
perplexity_tools = MCPServerAdapter(perplexity_mcp_instance.server_params)
# Create specialized agents for each service
notion_agent = Agent(
role="Notion Specialist",
goal="Handle all Notion related tasks and data processing",
backstory="You are an expert in Notion operations and data analysis",
tools=notion_tools,
reasoning=True,
verbose=False
)
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
)
perplexity_agent = Agent(
role="Perplexity Specialist",
goal="Handle all Perplexity related tasks and data processing",
backstory="You are an expert in Perplexity operations and data analysis",
tools=perplexity_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=notion_agent,
markdown=True
)
analysis_task = Task(
description="Analyze and synthesize the gathered data",
expected_output="Comprehensive analysis with insights and recommendations",
agent=gong_agent,
markdown=True
)
# Create multi-agent crew
multi_agent_crew = Crew(
agents=[notion_agent, gong_agent, perplexity_agent],
tasks=[research_task, analysis_task],
verbose=False,
process=Process.sequential
)
result = multi_agent_crew.kickoff()Frequently Asked Questions
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