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# Sitecore Marketplace SDK Integration with Vercel AI SDK

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[Igor Zharikov](https://www.brimit.com/blog/author?authors=Igor%20Zharikov) on February 25, 2026

![Sitecore Marketplace SDK Integration with Vercel AI SDK](https://www.brimit.com/-/jssmedia/images/blog/sitecoreai/vercel-ai-sdk-integration/logo.png?h=720&iar=0&w=1280&hash=670E22C35939017252EB030967BAEE76)

The Sitecore Marketplace application is a great place for AI integrations, and [Vercel AI SDK](https://ai-sdk.dev/) is one of the most popular frameworks for building them.

Vercel AI SDK not only defines how to integrate LLMs with custom tools, but also provides a [Tools Registry](https://ai-sdk.dev/tools-registry) with pre-made functionality.

I've created a [package](https://www.npmjs.com/package/sitecore-ai-sdk-tools) that lets you use the Sitecore Marketplace SDK within Vercel AI SDK as LLM tools.

#### Introduction

##### Vercel AI SDK

###### Example

Server-side (e.g. in `route.ts`):

```
const stream = await streamText({
  model: yourModel,
  prompt: "Get the list of sites",
  tools: {
    weather: tool({
      description: 'Get the weather in a location',
      inputSchema: z.object({
        location: z.string().describe('The location to get the weather for'),
      }),
      execute: async ({ location }) => ({
        location,
        temperature: 72 + Math.floor(Math.random() * 21) - 10,
      }),
    }),
  },
});
return stream.toUIMessageStreamResponse();
```

Client-side (with `react`):

```
const { messages, input, setInput, handleSubmit } = useChat({
  transport: new DefaultChatTransport({
    api: "/api/chat",
  })
});
```

##### Tools

Vercel AI SDK supports custom [tools](https://ai-sdk.dev/docs/ai-sdk-core/tools-and-tool-calling) — as shown in the basic `weather` tool example above. The following additional features are also supported:

- **Tool approval:** Control tool execution with the `needsApproval` flag
- **MCP tools:** Connect to MCP servers
- **Active tools:** Control which tools are active based on user role or current context
- **Client-side tool execution:** Execute tools on either the client or server side. See an example [here](https://ai-sdk.dev/docs/ai-sdk-ui/chatbot-tool-usage#example) with `getLocation`

#### Agent API Tools

The Sitecore [Agent API](https://api-docs.sitecore.com/sai/agent-api) provides an AI-first API. The Marketplace SDK wraps it with the `@sitecore-marketplace-sdk/xmc` package, enabling use in both Node.js and browser environments.

Since Vercel AI SDK supports both server-side and client-side tool execution, the `sitecore-ai-sdk-tools` package provides two modes of operation.

| Integration / Mode | Server-side | Client-side |
| --- | --- | --- |
| Marketplace Authentication | ⚠️ Custom authorization required (harder to set up) | ✅ OOTB (no config required) |
| Vercel AI SDK integration | ✅ OOTB | ⚠️ Custom tool call handling via `onFinish` or `onToolCall` callbacks |

Server-side configuration has stricter prerequisites — you need to configure custom authorization in your Marketplace Application — but offers simpler Vercel AI SDK integration. Client-side configuration, on the other hand, requires no additional authentication setup but involves more complex tool call handling via `onFinish` or `onToolCall` callbacks.

##### Server-side

Works with the server-side (full-stack) authentication flow in Marketplace Application. For more details on custom authorization, see [App architecture and authorization options](https://doc.sitecore.com/mp/en/developers/marketplace/app-architecture-and-authorization-options.html#authorization).

Use `execution: 'server'` when running in a Node.js environment (e.g. a Next.js API route or server action), providing a pre-initialized `experimental_XMC` client:

```
import { createAgentTools } from "sitecore-ai-sdk-tools";
import { experimental_XMC } from "@sitecore-marketplace-sdk/xmc";
import { generateText } from "ai";

const xmcClient = new experimental_XMC({
  /* your config */
});

const tools = createAgentTools({
  execution: "server",
  client: xmcClient,
  sitecoreContextId: "your-context-id",
});

const result = await generateText({
  model: yourModel,
  prompt: "Get the list of sites",
  tools,
});
```

##### Client-side

Works with the client-side authentication flow in Marketplace Application (the default). No additional authentication configuration is needed, but tool execution handling is more involved.

Use `execution: 'client'` in your `router.ts` file:

```
import { createAgentTools, executeAgentTool } from "sitecore-ai-sdk-tools";
import { generateText } from "ai";

const tools = createAgentTools({ execution: "client" });

const result = await generateText({
  model: yourModel,
  prompt: "List all sites",
  tools,
});
```

Handle tool calls client-side using `useChat` and the `onFinish` callback:

```
// define sitecoreContextId
const executeTool = async (toolPart: ToolUIPart) => {
    const toolName = toolPart.type.substring('tool-'.length);
    if (!sitecoreContextId) {
      throw new Error('No Sitecore context found');
    }
    try {
      let res = await executeAgentTool(
        { client, sitecoreContextId },
        { toolName, input: toolPart.input }
      );
      if (!res.success) {
        res = await executePageBuilderTool(
          { client, sitecoreContextId },
          { toolName, input: toolPart.input }
        );
      }
    } catch (error) {
      console.error('Error executing tool:', error);
    }
}

const chat = useChat({
    transport: ...,
    onFinish: async ({ message, finishReason }) => {
        // Only proceed if the chat finished due to a tool call
        if (finishReason !== 'tool-calls') {
            return;
        }
        for (const part of message.parts) {
            if (!part.type.startsWith('tool')) {
                continue;
            }
            const toolPart = part as ToolUIPart;
            if (toolPart.type.startsWith('tool')) {
                // Execute the tool if input is available
                if (toolPart.state === 'input-available') {
                    await executeTool(toolPart);
                }
            }
        }
    }
});
```

#### Page Builder Tools

`pageBuilderTools` provides tools for navigating and controlling the XM Cloud Page Builder UI. These are only available client-side:

```
import { pageBuilderTools } from "sitecore-ai-sdk-tools";

const tools = pageBuilderTools();
```

Handle the execution of Page Builder tools in the `onFinish` callback — similar to agent tools, but using the `executePageBuilderTool` function.

#### Conclusion

The full list of available tools can be found in the [package repository](https://github.com/izharikov/sitecore-ai-sdk-tools?tab=readme-ov-file#available-tools).

I hope this package makes it easier to integrate Sitecore Marketplace with Vercel AI SDK.

***Bonus:*** If you're interested in seeing this in action, come to my presentation **Building AI-powered Marketplace Apps with Vercel AI SDK** at [SUGCON Europe 2026](https://europe.sugcon.events/Venue). I'll walk through the configuration, explain the Vercel AI SDK integration in detail, and show live examples.

Also check out my [marketers-chat](https://github.com/izharikov/marketers-chat) extension, where I use this package to bring AI-powered features to marketers.

###### Author

![Igor Zharikov - Senior Sitecore Developer, Sitecore MVP](https://www.brimit.com/-/jssmedia/feature/blogs/authors/igor-zharikov-2.jpg?h=700&iar=0&w=700&hash=292A84E8CB3E5CE57CA743385CFB1464)

Igor Zharikov

Sitecore MVP / Senior Sitecore Developer
[Igor Zharikov](https://www.brimit.com/blog/author?authors=Igor%20Zharikov)

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