Create powerful collaborative AI workflows by connecting multiple MCP servers including Google Sheets, Doc2markdown, Slack for enhanced multi-agent automation capabilities in Klavis AI.
Google Sheets is a web-based spreadsheet application that allows users to create, edit, and collaborate on spreadsheets online
Convert any file to markdown using markitdown
Slack is a messaging app for business that connects people to the information they need
Follow these steps to connect CrewAI to these MCP servers
Sign up for KlavisAI to access our MCP server management platform.
Set up your CrewAI agents with your desired MCP servers tools and configure authentication settings for collaborative workflows.
Test your multi-agent workflows and start using your enhanced collaborative AI capabilities.
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"))
google_sheets_mcp_instance = klavis_client.mcp_server.create_server_instance(
server_name=McpServerName.GOOGLE_SHEETS,
user_id="1234",
platform_name="Klavis",
connection_type=ConnectionType.STREAMABLE_HTTP,
)
doc2markdown_mcp_instance = klavis_client.mcp_server.create_server_instance(
server_name=McpServerName.DOC2MARKDOWN,
user_id="1234",
platform_name="Klavis",
connection_type=ConnectionType.STREAMABLE_HTTP,
)
slack_mcp_instance = klavis_client.mcp_server.create_server_instance(
server_name=McpServerName.SLACK,
user_id="1234",
platform_name="Klavis",
connection_type=ConnectionType.STREAMABLE_HTTP,
)
# Initialize MCP tools for each server
google_sheets_tools = MCPServerAdapter(google_sheets_mcp_instance.server_params)
doc2markdown_tools = MCPServerAdapter(doc2markdown_mcp_instance.server_params)
slack_tools = MCPServerAdapter(slack_mcp_instance.server_params)
# Create specialized agents for each service
google_sheets_agent = Agent(
role="Google Sheets Specialist",
goal="Handle all Google Sheets related tasks and data processing",
backstory="You are an expert in Google Sheets operations and data analysis",
tools=google_sheets_tools,
reasoning=True,
verbose=False
)
doc2markdown_agent = Agent(
role="Doc2markdown Specialist",
goal="Handle all Doc2markdown related tasks and data processing",
backstory="You are an expert in Doc2markdown operations and data analysis",
tools=doc2markdown_tools,
reasoning=True,
verbose=False
)
slack_agent = Agent(
role="Slack Specialist",
goal="Handle all Slack related tasks and data processing",
backstory="You are an expert in Slack operations and data analysis",
tools=slack_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=google_sheets_agent,
markdown=True
)
analysis_task = Task(
description="Analyze and synthesize the gathered data",
expected_output="Comprehensive analysis with insights and recommendations",
agent=doc2markdown_agent,
markdown=True
)
# Create multi-agent crew
multi_agent_crew = Crew(
agents=[google_sheets_agent, doc2markdown_agent, slack_agent],
tasks=[research_task, analysis_task],
verbose=False,
process=Process.sequential
)
result = multi_agent_crew.kickoff()
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