> ## 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 MongoDB for Team

Agno supports using MongoDB asynchronously as a storage backend for Teams, with the `AsyncMongoDb` class.

## Usage

You need to provide either `db_url` or `client`. The following example uses `db_url`.

### Run MongoDB

Install [docker desktop](https://docs.docker.com/desktop/install/mac-install/) and run **MongoDB** on port **27017** using:

```bash theme={null}
docker run -d \
  --name local-mongo \
  -p 27017:27017 \
  -e MONGO_INITDB_ROOT_USERNAME=mongoadmin \
  -e MONGO_INITDB_ROOT_PASSWORD=secret \
  mongo
```

```python async_mongodb_for_team.py theme={null}
"""
Run: `uv pip install openai pymongo motor` to install dependencies
"""
from typing import List

from agno.agent import Agent
from agno.db.mongo import AsyncMongoDb
from agno.models.openai import OpenAIResponses
from agno.team import Team
from agno.tools.hackernews import HackerNewsTools
from agno.tools.hackernews import HackerNewsTools
from pydantic import BaseModel

# MongoDB connection settings
db_url = "mongodb://localhost:27017"
db = AsyncMongoDb(db_url=db_url)

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

hn_researcher = Agent(
    name="HackerNews Researcher",
    model=OpenAIResponses(id="gpt-5.2"),
    role="Gets top stories from hackernews.",
    tools=[HackerNewsTools()],
)

web_searcher = Agent(
    name="Web Searcher",
    model=OpenAIResponses(id="gpt-5.2"),
    role="Searches the web for information on a topic",
    tools=[HackerNewsTools()],
    add_datetime_to_context=True,
)

hn_team = Team(
    name="HackerNews Team",
    model=OpenAIResponses(id="gpt-5.2"),
    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,
    debug_mode=True,
    show_members_responses=True,
)

hn_team.print_response("Write an article about the top 2 stories on hackernews")

```

## Params

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