> 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-agentic-frameworks/vercel-ai-sdk.md).

# Vercel AI SDK

Connecting Data Product MCP to a Vercel AI SDK application lets it answer from governed Data Products instead of guessing. The `@ai-sdk/mcp` package exposes DataOS tools to your app's tool loop so it works with trusted, authorized data.

See the [Vercel AI SDK MCP documentation](https://ai-sdk.dev/docs/ai-sdk-core/mcp-tools) for client setup, transports, and tool usage.

From the Data Product page, select **Activate → MCP**, then select **View install guide** on the **Vercel AI SDK** card under **Agentic Framework** to open the step-by-step guide.

![Vercel AI SDK install guide showing the package install and TypeScript configuration](/files/g6X7Cz83MZ89luStuHQv)

## Prerequisites

* Node.js 18 or later.
* Your DataOS instance URL (e.g. `engdev-052326.dataos.cloud`).
* A DataOS API token. Generate one from [Home → Generate API tokens](/consume/get-started/readme-1.md#get-a-dataos-api-token).

## Steps

**1. Install the required packages.**

```bash
npm install @ai-sdk/mcp ai @ai-sdk/openai
```

**2. Connect the Data Product MCP to your application.**

Follow the [Vercel AI SDK MCP documentation](https://ai-sdk.dev/docs/ai-sdk-core/mcp-tools#http-transport-recommended) to initialize an MCP client and wire up tools. Use HTTP transport with the following DataOS-specific values:

| Parameter    | Value                                           |
| ------------ | ----------------------------------------------- |
| Transport    | `http`                                          |
| URL          | `https://<instance-url>/dataproduct-mcp/api/v1` |
| Header key   | `apikey`                                        |
| Header value | Your DataOS API token                           |

{% hint style="warning" %}
**API token security.** API tokens are secrets. Don't commit them to source control. Pass the token through an environment variable rather than hardcoding it in your application code.
{% endhint %}

## Verify the connection

Run the application and confirm the MCP client loads Data Product MCP tools from your DataOS instance. Then ask your agent:

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

If the connection works, the agent returns Data Products scoped to your token and permissions.


---

# Agent Instructions
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