> ## Documentation Index
> Fetch the complete documentation index at: https://docs.agno.com/llms.txt
> Use this file to discover all available pages before exploring further.

# Deep Research with MCP (Interactions)

Give the Deep Research agent access to external tools via remote MCP servers. Pass server configs through `mcp_servers`; the `type: "mcp_server"` field is added automatically.

Only `url` is required. `name`, `headers`, and `allowed_tools` are optional. Custom Function Calling tools are not supported by Deep Research, but remote MCP servers are.

## Code

```python cookbook/90_models/google/gemini_interactions/deep_research_mcp.py theme={null}
from agno.agent import Agent
from agno.models.google import GeminiInteractions

agent = Agent(
    model=GeminiInteractions(
        agent="deep-research-preview-04-2026",
        thinking_summaries="auto",
        mcp_servers=[
            {
                "name": "Deployment Tracker",
                "url": "https://mcp.example.com/mcp",
                "headers": {"Authorization": "Bearer my-token"},
                # "allowed_tools": ["get_status"],  # optionally restrict
            }
        ],
    ),
    markdown=True,
)

if __name__ == "__main__":
    agent.print_response(
        "Check the status of my last server deployment and summarize any issues."
    )
```

## Usage

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

  <Step title="Set your API key">
    ```bash theme={null}
    export GOOGLE_API_KEY=xxx
    ```
  </Step>

  <Step title="Install dependencies">
    ```bash theme={null}
    uv pip install -U "google-genai>=2.0" agno
    ```
  </Step>

  <Step title="Run Agent">
    ```bash theme={null}
    python cookbook/90_models/google/gemini_interactions/deep_research_mcp.py
    ```
  </Step>
</Steps>