> ## Documentation Index
> Fetch the complete documentation index at: https://agno-v2-codex-docs-audit-20260719-0149.mintlify.site/llms.txt
> Use this file to discover all available pages before exploring further.

# Client

> Show how to connect to MCP servers that use either SSE or Streamable HTTP transport using our MCPTools and MultiMCPTools classes.

```python client.py theme={null}
"""
Show how to connect to MCP servers that use either SSE or Streamable HTTP transport using our MCPTools and MultiMCPTools classes.

Check the README.md file for instructions on how to run these examples.
"""

import asyncio

from agno.agent import Agent
from agno.models.openai import OpenAIChat
from agno.tools.mcp import MCPTools, MultiMCPTools

# ---------------------------------------------------------------------------
# Create Agent
# ---------------------------------------------------------------------------


# This is the URL of the MCP server we want to use.
server_url = "http://localhost:8000/mcp"


async def run_agent(message: str) -> None:
    mcp_tools = MCPTools(
        transport="streamable-http",
        url=server_url,
        refresh_connection=True,  # (Optional) Refresh the MCP connection and tools on each run
    )
    await mcp_tools.connect()
    agent = Agent(
        model=OpenAIChat(id="gpt-4o"),
        tools=[mcp_tools],
        markdown=True,
    )
    await agent.aprint_response(input=message, stream=True, markdown=True)
    await mcp_tools.close()


# Using MultiMCPTools, we can connect to multiple MCP servers at once, even if they use different transports.
# In this example we connect to both our example server (Streamable HTTP transport), and a different server (stdio transport).
async def run_agent_with_multimcp(message: str) -> None:
    mcp_tools = MultiMCPTools(
        commands=["npx -y @openbnb/mcp-server-airbnb --ignore-robots-txt"],
        urls=[server_url],
        urls_transports=["streamable-http"],
        refresh_connection=True,  # (Optional) Refresh the MCP connection and tools on each run
    )
    agent = Agent(
        model=OpenAIChat(id="gpt-4o"),
        tools=[mcp_tools],
        markdown=True,
    )
    await agent.aprint_response(input=message, stream=True, markdown=True)


# ---------------------------------------------------------------------------
# Run Agent
# ---------------------------------------------------------------------------

if __name__ == "__main__":
    asyncio.run(run_agent("Do I have any birthdays this week?"))
    asyncio.run(run_agent("What else is on my calendar this week?"))
    asyncio.run(
        run_agent_with_multimcp(
            "Can you check when is my mom's birthday, and if there are any AirBnb listings in SF for two people for that day?",
        )
    )
```

## Run the Example

<Steps>
  <Snippet file="create-venv-step.mdx" />

  <Step title="Install dependencies">
    ```bash theme={null}
    uv pip install -U "agno[mcp]" openai
    ```
  </Step>

  <Step title="Prepare Node.js">
    The MCP server runs with `npx`. Install Node.js, then verify the commands:

    ```bash theme={null}
    node --version
    npx --version
    ```
  </Step>

  <Step title="Export your OpenAI API key">
    <CodeGroup>
      ```bash Mac/Linux theme={null}
      export OPENAI_API_KEY="your_openai_api_key_here"
      ```

      ```bash Windows theme={null}
      $Env:OPENAI_API_KEY="your_openai_api_key_here"
      ```
    </CodeGroup>
  </Step>

  <Step title="Clone Agno">
    Clone the repository and run the remaining commands from its root:

    ```bash theme={null}
    git clone --branch v2.7.4 --depth 1 https://github.com/agno-agi/agno.git
    cd agno
    ```
  </Step>

  <Step title="Start the Streamable HTTP server">
    In another terminal, start the released sibling MCP server on port 8000:

    ```bash theme={null}
    python cookbook/91_tools/mcp/streamable_http_transport/server.py
    ```
  </Step>

  <Step title="Run the example">
    Run the example from the repository root:

    ```bash theme={null}
    python cookbook/91_tools/mcp/streamable_http_transport/client.py
    ```
  </Step>
</Steps>

Full source: [cookbook/91\_tools/mcp/streamable\_http\_transport/client.py](https://github.com/agno-agi/agno/blob/v2.7.4/cookbook/91_tools/mcp/streamable_http_transport/client.py)