| 
 | 1 | +---  | 
 | 2 | +title: 🔺 Vercel AI SDK integration  | 
 | 3 | +sidebar_label: Vercel AI SDK  | 
 | 4 | +description: Learn how to integrate Apify Actors as tools for AI with Vercel AI SDK 🔺.  | 
 | 5 | +sidebar_position: 2  | 
 | 6 | +slug: /integrations/vercel-ai-sdk  | 
 | 7 | +---  | 
 | 8 | + | 
 | 9 | +**Learn how to integrate Apify Actors as tools for AI with Vercel AI SDK.**  | 
 | 10 | + | 
 | 11 | +---  | 
 | 12 | + | 
 | 13 | +## What is the Vercel AI SDK  | 
 | 14 | + | 
 | 15 | +[Vercel AI SDK](https://ai-sdk.dev/) is the TypeScript toolkit designed to help developers build AI-powered applications and agents with React, Next.js, Vue, Svelte, Node.js, and more.  | 
 | 16 | + | 
 | 17 | +:::note Explore Vercel AI SDK  | 
 | 18 | + | 
 | 19 | +For more in-depth details, check out [Vercel AI SDK documentation](https://ai-sdk.dev/docs/introduction).  | 
 | 20 | + | 
 | 21 | +:::  | 
 | 22 | + | 
 | 23 | +## How to use Apify with Vercel AI SDK  | 
 | 24 | + | 
 | 25 | +Apify is a marketplace of ready-to-use web scraping and automation tools, AI agents, and MCP servers that you can equip your own AI with. This guide demonstrates how to use Apify tools with a simple AI agent built with Vercel AI SDK.  | 
 | 26 | + | 
 | 27 | + | 
 | 28 | +### Prerequisites  | 
 | 29 | + | 
 | 30 | +- _Apify API token_: To use Apify Actors in Vercel AI SDK, you need an Apify API token. To obtain your token check [Apify documentation](https://docs.apify.com/platform/integrations/api).  | 
 | 31 | +- _Node.js packages_: Install the following Node.js packages:  | 
 | 32 | + | 
 | 33 | +    ```bash  | 
 | 34 | +    npm install @modelcontextprotocol/sdk @openrouter/ai-sdk-provider ai  | 
 | 35 | +    ```  | 
 | 36 | + | 
 | 37 | +### Building a simple pub search AI agent using Apify Google Maps scraper  | 
 | 38 | + | 
 | 39 | +First, import all required packages:  | 
 | 40 | + | 
 | 41 | +```typescript  | 
 | 42 | +import { experimental_createMCPClient as createMCPClient, generateText, stepCountIs } from 'ai';  | 
 | 43 | +import { StreamableHTTPClientTransport } from '@modelcontextprotocol/sdk/client/streamableHttp.js';  | 
 | 44 | +import { createOpenRouter } from '@openrouter/ai-sdk-provider';  | 
 | 45 | +```  | 
 | 46 | +
  | 
 | 47 | +Connect to the Apify MCP server and get all available tools for the AI agent:  | 
 | 48 | +
  | 
 | 49 | +:::warning Required setup  | 
 | 50 | +
  | 
 | 51 | +Make sure to set the `APIFY_TOKEN` environment variable with your Apify API token before running the code.  | 
 | 52 | +
  | 
 | 53 | +:::  | 
 | 54 | +
  | 
 | 55 | +```typescript  | 
 | 56 | +// Connect to the Apify MCP server and get the available tools  | 
 | 57 | +const url = new URL('https://mcp.apify.com');  | 
 | 58 | +const mcpClient = await createMCPClient({  | 
 | 59 | +  transport: new StreamableHTTPClientTransport(url, {  | 
 | 60 | +      requestInit: {  | 
 | 61 | +        headers: {  | 
 | 62 | +            "Authorization": `Bearer ${process.env.APIFY_TOKEN}`  | 
 | 63 | +        }  | 
 | 64 | +      }  | 
 | 65 | +  }),  | 
 | 66 | +});  | 
 | 67 | +const tools = await mcpClient.tools();  | 
 | 68 | +console.log('Tools available:', Object.keys(tools).join(', '));  | 
 | 69 | +```  | 
 | 70 | +
  | 
 | 71 | +Create Apify OpenRouter LLM provider so we can run the AI agent:  | 
 | 72 | +
  | 
 | 73 | +:::tip Single token  | 
 | 74 | +
  | 
 | 75 | +By using the [Apify OpenRouter](https://apify.com/apify/openrouter) you don't need to provide a separate API key for OpenRouter or any other LLM provider. Only your Apify token is needed. All token costs go to your Apify account.  | 
 | 76 | +
  | 
 | 77 | +:::  | 
 | 78 | +
  | 
 | 79 | +```typescript  | 
 | 80 | +// Configure the Apify OpenRouter LLM provider  | 
 | 81 | +const openrouter = createOpenRouter({  | 
 | 82 | +    baseURL: 'https://openrouter.apify.actor/api/v1',  | 
 | 83 | +    apiKey: 'api-key-not-required',  | 
 | 84 | +    headers: {  | 
 | 85 | +        "Authorization": `Bearer ${process.env.APIFY_TOKEN}`  | 
 | 86 | +    }  | 
 | 87 | +});  | 
 | 88 | +```  | 
 | 89 | +
  | 
 | 90 | +Run the AI agent with the Apify Google Maps scraper tool to find a pub near the Ferry Building in San Francisco:  | 
 | 91 | +
  | 
 | 92 | +```typescript  | 
 | 93 | +// Run the AI agent and generate a response  | 
 | 94 | +const response = await generateText({  | 
 | 95 | +    model: openrouter('x-ai/grok-4-fast'),  | 
 | 96 | +    tools,  | 
 | 97 | +    stopWhen: stepCountIs(5),  | 
 | 98 | +    messages: [  | 
 | 99 | +        {  | 
 | 100 | +            role: 'user',  | 
 | 101 | +            content: [{ type: 'text', text: 'Find a pub near the Ferry Building in San Francisco using the Google Maps scraper.' }],  | 
 | 102 | +        },  | 
 | 103 | +    ],  | 
 | 104 | +});  | 
 | 105 | +console.log('Response:', response.text);  | 
 | 106 | +console.log('\nDone!');  | 
 | 107 | +await mcpClient.close();  | 
 | 108 | +```  | 
 | 109 | +
  | 
 | 110 | +## Resources  | 
 | 111 | +
  | 
 | 112 | +- [Apify Actors](https://docs.apify.com/platform/actors)  | 
 | 113 | +- [Vercel AI SDK documentation](https://ai-sdk.dev/docs/introduction)  | 
 | 114 | +- [What are AI agents?](https://blog.apify.com/what-are-ai-agents/)  | 
 | 115 | +- [Apify MCP Server](https://mcp.apify.com)  | 
 | 116 | +- [Apify MCP Server documentation](https://docs.apify.com/platform/integrations/mcp)  | 
 | 117 | +- [Apify OpenRouter proxy](https://apify.com/apify/openrouter)  | 
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