> ## 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.

# Async MySQL for Team

Agno supports using [MySQL](https://www.mysql.com/) asynchronously, with the `AsyncMySQLDb` class.

## Usage

### Run MySQL

Install [docker desktop](https://docs.docker.com/desktop/install/mac-install/) and run **MySQL** on port **3306** using:

```bash theme={null}
docker run -d \
  --name mysql \
  -e MYSQL_ROOT_PASSWORD=ai \
  -e MYSQL_DATABASE=ai \
  -e MYSQL_USER=ai \
  -e MYSQL_PASSWORD=ai \
  -p 3306:3306 \
  -d mysql:8
```

```python async_mysql_for_team.py theme={null}
import asyncio
import uuid
from typing import List

from agno.agent import Agent
from agno.db.base import SessionType
from agno.db.mysql import AsyncMySQLDb
from agno.team import Team
from agno.tools.hackernews import HackerNewsTools
from agno.tools.hackernews import HackerNewsTools
from pydantic import BaseModel

db_url = "mysql+asyncmy://ai:ai@localhost:3306/ai"
db = AsyncMySQLDb(db_url=db_url)

class Article(BaseModel):
    title: str
    summary: str
    reference_links: List[str]

hn_researcher = Agent(
    name="HackerNews Researcher",
    role="Gets top stories from hackernews.",
    tools=[HackerNewsTools()],
)

web_searcher = Agent(
    name="Web Searcher",
    role="Searches the web for information on a topic",
    tools=[HackerNewsTools()],
    add_datetime_to_context=True,
)

hn_team = Team(
    name="HackerNews Team",
    members=[hn_researcher, web_searcher],
    db=db,
    instructions=[
        "First, search hackernews for what the user is asking about.",
        "Then, ask the web searcher to search for each story to get more information.",
        "Finally, provide a thoughtful and engaging summary.",
    ],
    output_schema=Article,
    markdown=True,
    show_members_responses=True,
)

async def main():
    """Run the agent queries in the same event loop"""
    session_id = str(uuid.uuid4())
    await hn_team.aprint_response(
        "Write an article about the top 2 stories on hackernews", session_id=session_id
    )
    session_data = await db.get_session(
        session_id=session_id, session_type=SessionType.TEAM
    )
    print("\n=== SESSION DATA ===")
    print(session_data.to_dict())

if __name__ == "__main__":
    asyncio.run(main())
```

## Params

<Snippet file="db-async-mysql-params.mdx" />