> For the complete documentation index, see [llms.txt](https://v2.dataos.info/llms.txt). Markdown versions of documentation pages are available by appending `.md` to page URLs; this page is available as [Markdown](https://v2.dataos.info/consume/consume-with-ai/connect-clients/custom.md).

# Custom

Connect any MCP-compatible LLM tool to Data Product MCP using streamable HTTP.

## Prerequisites

You need:

* Your DataOS instance URL, such as `pacific-051426.dataos.cloud`.
* A DataOS API token generated from [Home → Generate API tokens](/consume/get-started/readme-1.md#get-a-dataos-api-token).
* An MCP-compatible client that supports streamable HTTP.

## Connect the client

Configure your client with the values below and replace `<API_TOKEN>` with your token from [API tokens](/consume/get-started/readme-1.md#get-a-dataos-api-token).

| Field        | Value                                           |
| ------------ | ----------------------------------------------- |
| Server name  | `DataProduct-MCP`                               |
| Transport    | Streamable HTTP                                 |
| URL          | `https://<instance-url>/dataproduct-mcp/api/v1` |
| Header key   | `apikey`                                        |
| Header value | `<API_TOKEN>`                                   |

You can also copy these values from **Home → Connect to Data Product MCP** in DataOS. Open the **Data Product MCP config** modal and select **Copy**.

1. Open the MCP settings in your LLM tool.
2. Add a new MCP server using the values above.
3. Replace `<API_TOKEN>` with your DataOS API token.
4. Save the configuration and connect to the server.

After connecting, your client can list and call the Data Product MCP tools over HTTP.

## Verify the connection

Ask your assistant:

```
What Data Products am I authorized to access?
```

If the connection works, the assistant returns Data Products from your DataOS instance, scoped to your token and permissions.

## Next steps

* [Discover with AI](/consume/discover/discover-with-ai.md) - Find relevant Data Products through natural language.


---

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## Querying This Documentation
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```
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