How to Use the CatAAS MCP in Cursor

Q: Can Cursor inject CatAAS images into my HTML?

Yes, it can. The agent uses tools like getrandomcat to fetch valid URLs and writes the image tags directly into your markup.

Q: What tools does the CatAAS MCP integration provide for Cursor users?

You get seven distinct endpoints. These range from listtags for exploring categories to getcatwithtext for dynamic text overlays.

Inject live CatAAS placeholder images and meme generation code straight into your Cursor workflow.

See Vinkius in Action

Works with every AI agent you already use

…and any MCP-compatible client

MCP Servers - Free for Subscribers

Connect CatAAS MCP to Cursor

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

GDPR Free for Subscribers

Setup CatAAS with Cursor

Ask AI about this MCP

ChatGPT

Claude

Perplexity

Stop Hardcoding Placeholders via MCP Server

Cursor can now pull real assets while you write frontend components. Hit Cmd+K, ask for a cat image, and your agent runs `get_random_cat` to drop the exact API response into your code. You stop wasting time hunting for dummy URLs. Building an image gallery requires varied data structures. You can instruct the AI to execute `list_cats` to populate your mock database with real IDs. This MCP Server bridges the gap between static stubs and live network requests.

Prototype Meme Generators

Test your image processing pipelines with custom text overlays. Generating dynamic images manually breaks flow state. Agent mode changes that by calling `get_cat_with_text` to fetch a meme based on the variables you just defined in your TypeScript file. Complex queries work exactly as expected. If your app needs categorized memes, the AI fires `get_cat_with_tag_and_text` to pull what fits your layout. You see the actual network response immediately, proving your rendering logic works before you even deploy.

GIF and Tag Integration

Fetching specific assets is a trivial task. Your agent triggers `list_tags` to grab the full vocabulary of the API. Then it uses `get_cat_by_tag` to fetch an image that matches your specific UI requirements. Motion testing needs real GIFs. Calling `get_random_gif_cat` provides an animated payload to test your loading spinners or lazy-loading logic. Cursor handles the integration natively so you stay focused on the architecture.

Setup guide

Set up CatAAS MCP in Cursor

Prerequisites

Cursor installed (macOS, Windows, or Linux)
Active Vinkius subscription with a valid endpoint token

1

Open MCP Settings

Go to Cursor Settings → MCP or open the Command Palette (Cmd+Shift+P / Ctrl+Shift+P) and search for "MCP: Add Server".
2

Add the CatAAS MCP

Cursor will create or open .cursor/mcp.json in your project root. Paste the JSON snippet on the right. Replace [YOUR_TOKEN_HERE] with your endpoint token from cloud.vinkius.com.
3

Enable Agent mode

Open Composer (Cmd+I / Ctrl+I) and switch to Agent mode using the dropdown at the top. MCP tools are only available in Agent mode.
4

Verify the connection

Ask Cursor something like "List my recent CatAAS transactions." If the MCP tools are loaded correctly, Cursor will call the CatAAS tools automatically. You can also check Settings → MCP for a green status indicator.

.cursor/mcp.json

{
  "mcpServers": {
    "cataas-mcp": {
      "url": "https://edge.vinkius.com/[YOUR_TOKEN_HERE]/mcp"
    }
  }
}

Get your connection token →

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.

Why Choose Vinkius

Vinkius connects your tools to AI with real-time monitoring and automatic cost savings — all from one dashboard.

Connect CatAAS now

Real-time monitoring

Live

visibility into every interaction

Connect your favorite tools to your AI and see exactly what's happening — every request, every response, in real time.

Built-in savings

60%

lower AI costs

Vinkius compresses data between your apps and your AI automatically. Lower bills every month — no configuration required.

Single dashboard

One

place for every integration

Every tool your AI connects to, managed from a single screen. One account, complete control.

Common questions about CatAAS MCP in Cursor

Create a .cursor/mcp.json file in your project root. Add the server command or remote URL, then enable Agent mode in your chat panel.

Yes, it can. The agent uses tools like `get_random_cat` to fetch valid URLs and writes the image tags directly into your markup.

You get seven distinct endpoints. These range from `list_tags` for exploring categories to `get_cat_with_text` for dynamic text overlays.

It pulls the URLs and metadata from the API. Cursor then displays the resulting image or injects the link into your source file.

Zero trust is the rule here. The server only sees the API queries, like search tags or meme text, that you explicitly send to the tools. Vinkius isolates the execution, meaning your proprietary source code never touches the external image API.

Use it with your favorite AI tools

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

OpenAI Agents SDK sdk-python

Google ADK sdk-python

Pydantic AI sdk-python

Vercel AI SDK sdk-typescript