Carbonara MCP. Turn raw code into polished visuals instantly.
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Carbonara lets you turn raw code snippets into professional, high-quality images. Use this MCP to generate stylized screenshots for documentation, blog posts, or social media sharing.
It handles syntax highlighting for dozens of languages, applies custom themes like 'seti', and adds polished details such as macOS window controls, drop shadows, and line numbering.
What your AI agents can do
Cook code image
Generates a styled PNG image of any provided code snippet with customizable visual effects and themes.
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Supported MCP Clients
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Carbonara: Code Image Generator (1 tools)
The available tool allows you to transform raw source code into stylized, professional image files with full control over themes and visual effects.
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Add this MCP to Claude, Cursor, or Windsurf and your AI stops guessing. It gets real tools to look things up, take action, and handle the stuff you keep doing by hand.
Start using Carbonara on Vinkius019e5d05cook code image
Generates a styled PNG image of any provided code snippet with customizable visual effects and themes.
Choose How to Get Started
Build a custom MCP for your own tools, or connect a ready-made integration from our catalog.
Build Your Own
Turn any API into an MCP. Import a spec, define Agent Skills, or deploy with MCPFusion.
- Import from OpenAPI, Swagger, or YAML specs
- Create Agent Skills with progressive disclosure
- Deploy to edge with MCPFusion framework
- Built in DLP, auth, and compliance on every call
- Real time usage dashboard and cost metering
- Publish to catalog or keep private
Make Your AI Do More
Start with Carbonara, then connect any of our 4,800+ other servers whenever your AI needs more. One click, no limits.
- Use this MCP plus 4,800+ others, all in one place
- Add new capabilities to your AI anytime you want
- Every connection is secured and compliant automatically
- Track usage and costs across all your servers
- Works with Claude, ChatGPT, Cursor, and more
- New servers added to the catalog every week
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Works with Claude, ChatGPT, Cursor, and more
The Model Context Protocol standardizes how applications expose capabilities to LLMs. Instead of operating in isolation, your AI gains direct access to external platforms, live data, and real-world actions through secure, standardized connections.
This server provides 1 capabilities that interface natively with Claude, ChatGPT, Cursor, and any MCP client. No middleware. No custom integration required.
Dealing with messy code screenshots is exhausting.
Today, sharing code means copy-pasting. You grab a block from your IDE and paste it into Medium or Confluence. Within minutes, you're fighting formatting issues: the background color looks wrong, the font size shifts, or the syntax highlighting falls apart entirely. Then you have to manually crop it and try to make it look like it belongs in an article.
With this MCP, your agent handles the entire rendering process. You give the code and a few style notes—say, 'use the seti theme'—and you get back a single PNG file that looks exactly like a professional screenshot, ready to drop right into your content.
The Carbonara MCP gives you perfect visual output.
You eliminate the manual steps of selecting themes, adjusting background colors, and adding window controls. You no longer have to worry about whether your chosen screenshot format will match the rest of your documentation's aesthetic.
It’s simple: you tell your agent what code needs visualizing, and it outputs a perfect visual asset every single time.
What you can do with this MCP connector
This connector lets you take any block of code—Python, React, SQL—and turn it into a ready-to-use PNG image. Instead of messy copy-pasting that loses formatting or looks unprofessional, your AI agent generates polished visuals perfect for technical writing. You can control the look entirely: pick a theme to match your brand, toggle line numbers on, or add macOS window controls for extra polish.
The power comes when you combine this visual output with other data types. When your agent runs through Vinkius, it makes sure that whether you're generating code visuals or fetching structured API data, the entire process is tracked and auditable. This means you get clean images powered by a platform that keeps every call secure and transparent.
You just ask for the visual representation, and you get an image ready to drop into your final publication.
019e5d05-3739-7282-ab22-c0cb0e6c6f48 
How Carbonara MCP Works
- 1 Subscribe to this MCP and provide your Carbonara instance Base URL.
- 2 Tell your AI agent the code snippet you want visualized, along with specific style requirements (e.g., 'Use the seti theme' or 'Highlight lines 2 through 4').
- 3 The agent uses the
cook_code_imagetool to process the data and returns a base64 encoded PNG image ready for your document.
The bottom line is you tell your AI what code to cook, it handles all the styling and rendering, and you get back one perfect PNG file.
Who Is Carbonara MCP For?
This MCP is for people who spend time documenting technical processes. If sharing clean, styled code screenshots for blogs or internal wikis frustrates you because of messy copy-pasting, this tool solves it.
Needs to create consistent, beautiful illustrations for documentation and online tutorials across multiple languages.
Frequently shares code snippets on social media or in team chats and needs them to look clean without losing any formatting details.
Requires clear, visual aids for programming lessons and slides that keep the focus on readable code structure.
What Changes When You Connect
- Stop fighting formatting. The
cook_code_imagetool delivers high-fidelity PNGs that look professional, regardless of the language or platform. - Maintain brand consistency by choosing custom themes like 'seti' and applying uniform window styling across all your documentation assets.
- Improve readability dramatically by telling your agent to highlight specific lines or include line numbers directly in the visual output.
- It’s built for versatility. You can generate screenshots for Python, React, SQL, and more without switching tools or losing quality.
- Saves time on cleanup. Instead of manually adjusting backgrounds or adding drop shadows after generating a basic screenshot, you tell your agent to include those effects upfront.
Real-World Use Cases
Writing a tutorial blog post
A technical writer needs to show five different code examples (Python, JavaScript, SQL) for a new feature. Instead of running through five separate copy/paste cycles and hoping the styling matches, they ask their agent to use cook_code_image repeatedly, ensuring every snippet has the same theme and window controls.
Sharing a complex function in Slack
A developer wants to show a teammate how a newly implemented React component works. They send the code block to their agent, which uses cook_code_image to generate a stylized image with a custom background and drop shadow, making it instantly readable in the chat.
Creating presentation slides
An educator is building a slide deck for a university class. They use their agent to feed code snippets into cook_code_image, requesting line number visibility and a specific theme, resulting in visually uniform slides that look professional.
Documenting an API endpoint
A product manager needs to document the precise syntax of a complex SQL query. They feed the raw text into cook_code_image, specifically telling it to highlight the two critical lines, producing a perfect visual artifact for their wiki.
The Tradeoffs
Using native copy-paste
You paste code from your IDE directly into a document editor or blog post. The text looks right, but the formatting is inconsistent, and you lose the professional 'window' look.
→
Use your agent to call cook_code_image. This automatically handles syntax highlighting, adds window controls, and wraps it in a polished image format for immediate use.
Relying on basic code blocks
You generate a screenshot of code that looks fine but lacks context. It doesn't have a background color or any visual flair, making it blend into the surrounding text.
→
Use cook_code_image and specify custom backgrounds or drop shadows in your prompt. This forces the output to be an image with intentional visual depth.
Ignoring language specificity
You write a general 'code screenshot' tool that can't tell if it’s looking at Python or C++. The resulting image looks muddy and undefined.
→ The Carbonara MCP handles multiple languages correctly. Simply provide the code, and it applies the correct syntax highlighting automatically.
When It Fits, When It Doesn't
Use this MCP if your primary goal is to generate a high-quality, visually consistent image of source code for external consumption (documentation, blogs, social media). You need precise control over styling—like adding drop shadows or setting specific themes. Don't use it if you just need the raw text; in that case, copy/pasting plain text is fine. However, don't use this MCP if your workflow requires analyzing the code logic itself (e.g., checking for bugs). For deep analysis, you'll want a different agent type, but if you just need to show what the code looks like, Carbonara is the tool.
Common Questions About Carbonara MCP
What languages can Carbonara handle? +
Carbonara handles dozens of languages. You just feed the code snippet to the tool, and it automatically detects or uses the language you specify for correct syntax highlighting.
How do I make my screenshots look like they are running on a Mac? +
You tell your agent to include macOS window controls. The MCP adds those operating system style elements, making the code appear contained within a realistic application window.
Is Carbonara better than just taking a photo of my screen? +
Yes, because it's programmatic. It generates clean digital assets that are infinitely scalable and editable, unlike physical photos which capture environmental noise or blurriness.
Can I make the code look more dramatic with shadows? +
Absolutely. You can request visual effects like drop shadows and custom backgrounds to give your code snippets a polished, modern look that draws the reader's eye.
How does Carbonara let me highlight specific lines when running `cook_code_image`? +
You specify the exact line numbers or ranges in your prompt. The tool then renders only those designated lines with distinct highlighting, allowing you to focus attention without obscuring the surrounding code.
What information do I need to give my AI agent when setting up Carbonara? +
You must provide the Carbonara instance Base URL. This connection detail tells your agent exactly where the service is running so it can successfully call the cook_code_image tool.
What kind of data does the `cook_code_image` function actually return? +
It returns a base64 encoded PNG image. This means your agent gets a single, raw string that contains the complete picture file, ready for immediate use in documentation or web interfaces.
Beyond themes, can Carbonara adjust font sizes and families? +
Yes, you have granular control over typography. You simply include the desired font size and family in your prompt to get precise visual formatting for the text within the generated code image.
Use it with your favorite AI tools
Connect this server to Cursor, Claude, VS Code, and more.