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Agno’s MCP integration also supports handling connections to multiple servers, specifying server parameters and using your own MCP servers There are two approaches to this:
  1. Using multiple MCPTools instances
  2. Using a single MultiMCPTools instance

​
Using multiple MCPTools instances

multiple_mcp_servers.py
import asyncio
import os

from agno.agent import Agent
from agno.tools.mcp import MCPTools


async def run_agent(message: str) -> None:
    """Run the Airbnb and Google Maps agent with the given message."""

    env = {
        **os.environ,
        "GOOGLE_MAPS_API_KEY": os.getenv("GOOGLE_MAPS_API_KEY"),
    }

    # Initialize and connect to multiple MCP servers
    airbnb_tools = MCPTools(command="npx -y @openbnb/mcp-server-airbnb --ignore-robots-txt")
    google_maps_tools = MCPTools(command="npx -y @modelcontextprotocol/server-google-maps", env=env)
    await airbnb_tools.connect()
    await google_maps_tools.connect()

    try:
        agent = Agent(
            tools=[airbnb_tools, google_maps_tools],
            markdown=True,
        )

        await agent.aprint_response(message, stream=True)
    finally:
        await airbnb_tools.close()
        await google_maps_tools.close()


# Example usage
if __name__ == "__main__":
    # Pull request example
    asyncio.run(
        run_agent(
            "What listings are available in Cape Town for 2 people for 3 nights from 1 to 4 August 2025?"
        )
    )

​
Using a single MultiMCPTools instance

multiple_mcp_servers.py
import asyncio
import os

from agno.agent import Agent
from agno.tools.mcp import MultiMCPTools


async def run_agent(message: str) -> None:
    """Run the Airbnb and Google Maps agent with the given message."""

    env = {
        **os.environ,
        "GOOGLE_MAPS_API_KEY": os.getenv("GOOGLE_MAPS_API_KEY"),
    }

    # Initialize and connect to multiple MCP servers
    mcp_tools = MultiMCPTools(
        commands=[
            "npx -y @openbnb/mcp-server-airbnb --ignore-robots-txt",
            "npx -y @modelcontextprotocol/server-google-maps",
        ],
        env=env,
    )
    await mcp_tools.connect()

    try:
        agent = Agent(
            tools=[mcp_tools],
            markdown=True,
        )

        await agent.aprint_response(message, stream=True)
    finally:
        # Always close the connection when done
        await mcp_tools.close()


# Example usage
if __name__ == "__main__":
    # Pull request example
    asyncio.run(
        run_agent(
            "What listings are available in Cape Town for 2 people for 3 nights from 1 to 4 August 2025?"
        )
    )

​
Allowing partial failures with MultiMCPTools

If you are connecting to multiple MCP servers using the MultiMCPTools class, an error will be raised by default if connection to any MCP server fails. If you want to avoid raising in that case, you can set the allow_partial_failures parameter to True. This is useful if you are connecting to MCP servers that are not always available, and don’t want to exit your program if one of the servers is not available. 
import asyncio
from os import getenv

from agno.agent import Agent
from agno.tools.mcp import MultiMCPTools


async def run_agent(message: str) -> None:
    # Initialize the MCP tools
    mcp_tools = MultiMCPTools(
        [
            "npx -y @openbnb/mcp-server-airbnb --ignore-robots-txt",
            "npx -y @modelcontextprotocol/server-brave-search",
        ],
        env={
            "BRAVE_API_KEY": getenv("BRAVE_API_KEY"),
        },
        timeout_seconds=30,
        # Set the allow_partial_failure to True to allow for partial failure connecting to the MCP servers
        allow_partial_failure=True,
    )

    # Connect to the MCP servers
    await mcp_tools.connect()

    # Use the MCP tools with an Agent
    agent = Agent(
        tools=[mcp_tools],
        markdown=True,
    )
    await agent.aprint_response(message)

    # Close the MCP connection
    await mcp_tools.close()


# Example usage
if __name__ == "__main__":
    asyncio.run(run_agent("What listings are available in Barcelona tonight?"))
    asyncio.run(run_agent("What's the fastest way to get to Barcelona from London?"))