Can Cursor Generate Images? MCP Tools Make It Possible

Short answer: Cursor cannot generate images on its own. It is a code editor with AI features for writing, editing, and understanding code. It has no built-in image generation model and no connection to any image API. Through MCP, you can give Cursor access to image generation tools that work directly in the editor.

What Cursor Can Do Natively

Cursor handles code and text. It writes functions, refactors modules, explains complex logic, and searches across your project. For visual work, it can produce SVG markup, CSS gradients, HTML Canvas code, and other code-based graphics. If your image can be expressed as code, Cursor can build it.

Cursor also understands image-related concepts well. It can write correct calls to image APIs (DALL-E, Stability AI, Recraft), generate proper prompts, handle base64 encoding and decoding, and build UI components that display images. The knowledge is there. The ability to call an image generation API during a conversation is not.

MCP support in Cursor is built in. Adding an MCP server gives the agent new tools it can call mid-conversation, and image generation is one of the most useful additions.

What It Cannot Do Without Tools

Without an image generation tool, every visual asset requires you to leave the editor. Need a hero image for the landing page you’re building? Open a browser, go to an image generation service, create the image, download it, move it to your project. Need a placeholder graphic for a component? Same process.

This breaks the flow of development. You’re moving between Cursor and external services for a task that could stay within your editor session. The context switch is small for a single image, but it adds up across a project with multiple visual assets.

Cursor also can’t iterate on images conversationally. A tool like Recraft supports creative direction through prompts, and the back-and-forth of refining a visual is natural in a chat interface. Without the tool connected, that iteration loop doesn’t exist.

How MCP Tools Fill the Gap

AgentPatch provides a Recraft-powered image generation tool through MCP. Recraft produces realistic photos, illustrations, vector graphics, and icon-style output. Once you add AgentPatch to Cursor’s MCP configuration, the agent can generate images mid-conversation and continue working with the results.

The integration is practical. You describe the image, Cursor calls the tool, and the result comes back. You can then ask Cursor to save it to your project directory, reference it in your code, or adjust it by calling the tool again with a revised prompt.

Recraft is strong at illustrations and design-oriented output. Product mockups, blog headers, abstract backgrounds, icon sets: these are the kinds of assets developers frequently need during a build.

You don’t need a Recraft account or API key. AgentPatch bundles the authentication. One API key covers image generation and every other tool in the marketplace.

Setup

The AgentPatch CLI is designed for AI agents to use via shell access. Install it, and your agent can discover and invoke any tool on the marketplace.

Install (zero dependencies, Python 3.10+):

pip install agentpatch

Set your API key:

export AGENTPATCH_API_KEY=your_api_key

Example commands your agent will use:

ap search "web search"
ap run google-search --input '{"query": "test"}'

Get your API key from the AgentPatch dashboard.

  1. Open Cursor Settings (Cmd+Shift+J on Mac, Ctrl+Shift+J on Windows/Linux).
  2. Navigate to the MCP section in the sidebar.
  3. Click Add new global MCP server.
  4. Cursor opens ~/.cursor/mcp.json. Add the AgentPatch server config:
{
  "mcpServers": {
    "agentpatch": {
      "url": "https://agentpatch.ai/mcp",
      "headers": {
        "Authorization": "Bearer YOUR_API_KEY"
      }
    }
  }
}
  1. Replace YOUR_API_KEY with your actual key from the AgentPatch dashboard.
  2. Save and restart Cursor. It discovers all AgentPatch tools automatically.

Example

You’re building a SaaS dashboard and need visual assets:

“Generate a clean illustration of a bar chart with an upward trend, using a purple and white color scheme. I’ll use it as a decorative element on the analytics page.”

Cursor calls the Recraft tool and produces the illustration. You follow up:

“Save it as public/images/analytics-hero.png and add it to the AnalyticsPage component as the header image.”

Cursor handles the file save and the code update in the same conversation.

For open graph images:

“Generate an OG image for our blog post about API rate limiting. Dark background, minimal design, with an abstract representation of network traffic. 1200x630 pixels.”

Cursor generates the image at the right dimensions for social sharing. You can drop it into your metadata and move on.

For rapid prototyping:

“I’m building a travel booking app. Generate a realistic photo of a tropical beach resort with clear water and white sand. I need it as a placeholder for the destination card component.”

Cursor produces the image and can immediately wire it into your component. The prototype looks real without you sourcing stock photos.

If you need several variations:

“Generate three different color schemes for the same illustration: one warm (oranges/reds), one cool (blues/greens), one neutral (grays/whites).”

Cursor calls the tool three times and saves each version. You pick the one that works best with your design system.

Wrapping Up

Cursor is a code-first editor with no image generation capability. MCP tools through AgentPatch add Recraft image generation alongside web search, email, Google Maps, and more. One configuration, one API key, and your editor gains visual creation abilities. Get your key at agentpatch.ai.

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