How to Use the CatAAS MCP in Vercel AI SDK

Q: How do I get started with CatAAS and the Vercel AI SDK?

First, install the packages: npm install ai @ai-sdk/mcp. Then, use createMCPClient with your Vinkius URL to connect to this MCP server. You pass the tools from mcpClient.tools() into your generateText or streamText calls.

Q: Can I filter cats using CatAAS in my Vercel AI SDK app?

Yes. Have your agent call the listtags tool to get the available filters. Then, use the getcatbytag tool with one of those tags to get a specific type of cat image.

Q: What's the best way to make memes with CatAAS and the Vercel AI SDK?

Combine the getcatwithtext or getcatwithtagandtext tools with a user input field in your React app. The AI SDK will handle calling the tool and streaming the resulting image directly into an tag.

Stream cat memes directly into your React components with the Vercel AI SDK. No spinners, just cats.

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Connect CatAAS MCP to Vercel AI SDK

Create your Vinkius account to connect CatAAS to Vercel AI SDK and route execution through our secure gateway. The platform manages server hosting, runtime updates, and security layers. Configuration requires no manual server provisioning.

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Setup CatAAS with Vercel AI SDK

Ask AI about this MCP

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Claude

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Find the Right Cat, Instantly

Your AI client can use the `list_tags` tool to show a user the available cat categories. Once they pick one, `get_cat_by_tag` fetches a matching image. This isn't your standard API call. Because you're using the Vercel AI SDK, the cat picture streams directly into your UI. The user doesn't see a loading skeleton or a spinner. The image just appears in the component as soon as the tool returns it. It feels instant.

Generate Memes with the AI SDK

This is how you build dynamic image generation into your app. A user types a prompt like, "Show me a grumpy cat that says 'I need coffee'". Your agent grabs the request and calls `get_cat_with_tag_and_text`. The resulting image, with the text burned in, is streamed right back into the browser. You can build a simple meme generator in minutes that feels incredibly responsive to the end-user. It's a fast and direct way to add some fun to your frontend.

Random Cats and GIFs on Demand

Sometimes you just need a cat, any cat. The `get_random_cat` tool gives you one immediately. It’s a simple way to liven up a page or fill an empty state. No configuration needed. If you need something with a bit more action, `get_random_gif_cat` pulls an animated GIF instead. Your Vercel AI SDK application can use these tools to add a touch of randomness, streaming the content right into place without a full page reload.

Setup guide

Set up CatAAS MCP in Vercel AI SDK

Prerequisites

Node.js 18+ and a TypeScript project
ai + @modelcontextprotocol/sdk packages
Active Vinkius subscription with a valid endpoint token

1

Install dependencies

Run npm install ai @modelcontextprotocol/sdk plus your preferred model provider (e.g. @ai-sdk/openai).
2

Create the Streamable HTTP transport

Use StreamableHTTPClientTransport with your Vinkius endpoint URL. Replace [YOUR_TOKEN_HERE] with your token from cloud.vinkius.com.
3

Discover and use tools

Call mcpClient.tools() to auto-discover all CatAAS tools. Pass them directly to generateText() or streamText() — no manual schema definitions needed.
4

Works with any model provider

Swap openai("gpt-4o") for any AI SDK provider — Anthropic, Google, Mistral. The MCP tools work identically across all supported models.

index.ts

import { experimental_createMCPClient as createMCPClient } from "ai";
import { StreamableHTTPClientTransport } from "@modelcontextprotocol/sdk/client/streamableHttp";
import { generateText } from "ai";
import { openai } from "@ai-sdk/openai";

const transport = new StreamableHTTPClientTransport(
  new URL("https://edge.vinkius.com/[YOUR_TOKEN_HERE]/mcp")
);

const mcpClient = await createMCPClient({ transport });
const tools = await mcpClient.tools();

const { text } = await generateText({
  model: openai("gpt-4o"),
  tools,
  prompt: "List recent CatAAS transactions",
});

console.log(text);
await mcpClient.close();

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Independent Platform Disclaimer: Vinkius is an independent platform and is not affiliated with, endorsed by, sponsored by, verified by, or otherwise authorized by CatAAS. All third-party trademarks, logos, and brand names are the property of their respective owners. Their use on this website is strictly for informational purposes to identify service compatibility and interoperability.

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Common questions about CatAAS MCP in Vercel AI SDK

First, install the packages: `npm install ai @ai-sdk/mcp`. Then, use `createMCPClient` with your Vinkius URL to connect to this MCP server. You pass the tools from `mcpClient.tools()` into your `generateText` or `streamText` calls.

Yes. Have your agent call the `list_tags` tool to get the available filters. Then, use the `get_cat_by_tag` tool with one of those tags to get a specific type of cat image.

Combine the `get_cat_with_text` or `get_cat_with_tag_and_text` tools with a user input field in your React app. The AI SDK will handle calling the tool and streaming the resulting image directly into an `` tag.

No, it also serves up animated GIFs. Your AI client can call the `get_random_gif_cat` tool to fetch a random cat GIF instead of a static picture.

The server only processes the data needed for the operation, like image tags and the text you want overlaid on a cat picture. Vinkius runs the MCP server in an isolated sandbox for each request. Your input text is used to generate the image and then it's gone.

Use it with your favorite AI tools

Connect this server to Cursor, Claude, VS Code, and more.

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