> ## Documentation Index
> Fetch the complete documentation index at: https://phidatainc-agui.mintlify.site/llms.txt
> Use this file to discover all available pages before exploring further.

# Stdio Transport

The stdio (standard input/output) transport is the default one in Agno's integration. It works best for local integrations.

To use it, simply initialize the `MCPTools` class with the `command` argument.
The command you want to pass is the one used to run the MCP server the agent will have access to.

For example `uvx mcp-server-git`, which runs a [git MCP server](https://github.com/modelcontextprotocol/servers/tree/main/src/git):

```python theme={null}
from agno.agent import Agent
from agno.models.openai import OpenAIResponses
from agno.tools.mcp import MCPTools

# Initialize and connect to the MCP server
# Can also use custom binaries: command="./my-mcp-server"
mcp_tools = MCPTools(command="uvx mcp-server-git")
await mcp_tools.connect()

try:
    agent = Agent(model=OpenAIResponses(id="gpt-5.2"), tools=[mcp_tools])
    await agent.aprint_response("What is the license for this project?", stream=True)
finally:
    # Always close the connection when done
    await mcp_tools.close()
```

You can also use multiple MCP servers at once, with the `MultiMCPTools` class. For example:

```python theme={null}
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?"
        )
    )
```