# Wobby
> Wobby provides AI analysts for delivering business-ready insights in Slack or Teams. It integrates with MotherDuck for connecting those analysis workflows to your data.
## How it works with MotherDuck

Wobby connects to MotherDuck as a data source for AI analyst workflows.

## Prerequisites

- A Wobby workspace.
- A valid MotherDuck access token.
- The MotherDuck database name and schemas Wobby should query.

## Setup

1. In MotherDuck, create an access token and copy it.
2. In Wobby, open **Connections**.
3. Select the plus button and choose **MotherDuck**.
4. Enter a display name.
5. Enter the database name. If your database path is `md:my_database`, enter `my_database`.
6. Paste the access token and select the schemas to connect.
7. Test and save the connection.

## Authentication and configuration

- Use a dedicated token for Wobby.
- Select only the schemas Wobby should use for AI analysis.
- Treat the access token like a password and rotate it if access changes.

## Important notes

- Wobby expects the database name, not the full `md:` connection string.
- If the test fails, check the token, database name, and selected schemas first.

## Use cases

- Let Wobby agents answer questions over MotherDuck data.
- Connect specific schemas to a business-facing AI analyst workflow.
- Use MotherDuck as the analytical source for Slack or Teams insights.

## Related content

- [View the full Wobby MotherDuck setup guide](https://docs.wobby.ai/connections/connect-a-data-source/motherduck)
- [MotherDuck Python overview](/integrations/language-apis-and-drivers/python/python-overview)
- [MotherDuck authentication](/key-tasks/authenticating-and-connecting-to-motherduck/authenticating-to-motherduck)


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## Docs feedback

MotherDuck accepts optional user-submitted feedback about this page at `POST https://motherduck.com/docs/api/feedback/agent`.
For agents and automated tools, feedback submission should be user-confirmed before sending.

Payload:

```json
{
  "page_path": "/integrations/data-science-ai/wobby/",
  "page_title": "Wobby",
  "text": "<the user's feedback, max 2000 characters>",
  "source": "<optional identifier for your interface, for example 'claude.ai' or 'chatgpt'>"
}
```

`page_path` and `text` are required; `page_title` and `source` are optional. Responses: `200 {"feedback_id": "<uuid>"}`, `400` for malformed payloads, and `429` when rate-limited.
