Create powerful collaborative AI workflows by connecting multiple MCP servers including Mem0, ElevenLabs for enhanced multi-agent automation capabilities in Klavis AI.
Mem0 is an intelligent memory layer for AI applications that provides long-term memory storage and retrieval. Store code snippets, implementation details, and programming knowledge for seamless context retention across conversations
ElevenLabs is an AI voice generation platform. Generate realistic speech, clone voices, create audio content, manage voice library, and synthesize multilingual audio via OpenAPI integration
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"))
mem0_mcp_instance = klavis_client.mcp_server.create_server_instance(
server_name=McpServerName.MEM0,
user_id="1234",
connection_type=ConnectionType.STREAMABLE_HTTP,
)
elevenlabs_mcp_instance = klavis_client.mcp_server.create_server_instance(
server_name=McpServerName.ELEVENLABS,
user_id="1234",
connection_type=ConnectionType.STREAMABLE_HTTP,
)
# Initialize MCP tools for each server
mem0_tools = MCPServerAdapter(mem0_mcp_instance.server_params)
elevenlabs_tools = MCPServerAdapter(elevenlabs_mcp_instance.server_params)
# Create specialized agents for each service
mem0_agent = Agent(
role="Mem0 Specialist",
goal="Handle all Mem0 related tasks and data processing",
backstory="You are an expert in Mem0 operations and data analysis",
tools=mem0_tools,
reasoning=True,
verbose=False
)
elevenlabs_agent = Agent(
role="ElevenLabs Specialist",
goal="Handle all ElevenLabs related tasks and data processing",
backstory="You are an expert in ElevenLabs operations and data analysis",
tools=elevenlabs_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=mem0_agent,
markdown=True
)
analysis_task = Task(
description="Analyze and synthesize the gathered data",
expected_output="Comprehensive analysis with insights and recommendations",
agent=elevenlabs_agent,
markdown=True
)
# Create multi-agent crew
multi_agent_crew = Crew(
agents=[mem0_agent, elevenlabs_agent],
tasks=[research_task, analysis_task],
verbose=False,
process=Process.sequential
)
result = multi_agent_crew.kickoff()
Everything you need to know about connecting CrewAI to these MCP servers
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