Lorem Picsum MCP. Generate image URLs and fetch asset metadata instantly.
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…and any MCP-compatible client
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Lorem Picsum delivers placeholder images and associated metadata directly to your AI agent. You can generate random URLs with specific dimensions, fetch details for specific assets by ID, or list entire collections of available photos.
This server lets your AI client retrieve image information—including author credits and original size—without you ever leaving your code editor or chat window.
What your AI agents can do
Get image info
Retrieves detailed metadata, including dimensions and authors, for a single image ID.
Get random image url
Generates a URL for a random image. You can customize the size, blur level, grayscale filter, and format (JPG/WebP).
Get seed image url
Creates a reliable image URL based on a seed string, ensuring consistent visuals for testing.
The agent generates an image URL on demand, allowing you to specify width, height, blur level, and color filters.
You can get author names, original dimensions, and format types for any given image ID or seed string.
The agent retrieves a precise URL for a known image ID, supporting custom sizing parameters.
You pull a paginated list of currently available photos and their basic metadata.
The agent generates an image URL based on a predictable seed string, perfect for reliable UI mockups.
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Supported MCP Clients
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Lorem Picsum: 6 Tools for Image Assets
These tools let you get random image links, fetch specific assets by ID, and pull metadata (author, dimensions) directly into your workflow.
019e5d30get image info
Retrieves detailed metadata, including dimensions and authors, for a single image ID.
019e5d30get random image url
Generates a URL for a random image. You can customize the size, blur level, grayscale filter, and format (JPG/WebP).
019e5d30get seed image url
Creates a reliable image URL based on a seed string, ensuring consistent visuals for testing.
019e5d30get seed info
Retrieves metadata (like author and dimensions) associated with a specific image seed ID.
019e5d30get specific image url
Gets an exact URL for an image by its unique ID, allowing you to specify the required width and height.
019e5d30list images
Pulls a paginated list of available images in the dataset, giving you basic info on several assets at once.
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What you can do with this MCP connector
You're working on a UI mockup, but you don't want to leave your editor or chat window to download some placeholder photos. This server gives your AI agent direct access to a massive library of image URLs and all their associated metadata. You can get everything you need for visual assets right where you are.
Generating Images On Demand
Need an image? Use get_random_image_url to generate a URL instantly. With this tool, you don't just get an image; you control the output. You can specify the exact width and height you want. Plus, you can mess with the look—you can apply blur effects or force grayscale filtering. It even lets you pick the format, whether it needs to be JPG or WebP.
For testing something that has to look identical every single time, use get_seed_image_url. This function takes a seed string and spits out an image URL based on that input. That predictability is huge for reliable UI mockups; you know exactly what the output's going to be across multiple runs.
Pinpointing Specific Assets
Sometimes, random isn't gonna cut it. You need something specific. If you have a unique ID for an image, use get_specific_image_url. This tool gets you the precise URL for that known asset while letting you set custom width and height parameters. It's direct, fast, and accurate.
Listing and Inspecting Metadata
If you want to know what kind of visuals are available in the dataset, run list_images. This pulls a paginated list of photos, giving you basic info on several assets at once so you can get oriented.
When you find an image ID or a seed string and need the deep details—the stuff that doesn't just show up on the URL—you hit metadata retrieval. Use get_image_info to pull detailed data, including the original dimensions and author credits for any single image ID. If you used a seed string to generate an image, use get_seed_info.
This retrieves the associated metadata, like who the author is or what its original size was.
How You Use It
Your AI client calls one of these tools—say, get_random_image_url with specific parameters. The server processes that request and returns either a clean URL, a detailed metadata JSON object, or both. You take that data—the image link or the author credits—and plug it straight into your application code. It keeps your workflow tight and focused on building, not fetching.
How Lorem Picsum MCP Works
- 1 Connect your AI client to the Lorem Picsum MCP Server. No API key is needed for public access.
- 2 Your agent calls a specific tool function (e.g.,
get_random_image_url), passing required parameters like dimensions and blur levels. - 3 The server executes the request and returns structured data—either a direct image URL or a detailed metadata object.
The bottom line is: you tell your AI client what kind of picture you need, and it handles generating the link and pulling all the details for you.
Who Is Lorem Picsum MCP For?
This is for front-end developers who hate leaving their IDE to find placeholder assets. It's also useful for UI/UX designers who need to test specific layouts quickly, or content managers needing image metadata and author credits for attribution.
You use get_random_image_url in your code editor. It drops a realistic placeholder URL right where you need it, so you don't have to switch tabs or open a new browser.
When testing a component, you use the tools to generate images with specific effects (like blur or grayscale) to see how the layout handles varying image qualities.
You run list_images and then use get_image_info on selected IDs. This gives you all the author details required for proper attribution when using open-source assets.
What Changes When You Connect
- Stop manually generating mockups. Using
get_random_image_urllets your agent generate a perfectly sized, filtered placeholder URL in one step. - Never worry about broken links or inconsistent assets again. The
get_seed_image_urltool guarantees that the image you test today will look exactly the same next week. - Need attribution? Running
list_imagesand then callingget_image_infoon IDs gives you the author's credit and original dimensions—all without leaving your workflow. - Control the look of your mocks. You can pass parameters to force specific formats (JPG or WebP) or apply effects like Gaussian blur directly through the tool calls.
- Testing complex layouts? The
get_specific_image_urltool lets you fetch an image for a precise size, which is key when designing responsive components.
Real-World Use Cases
Mocking up a blog post layout
A developer needs 5 random images for a new article mockup. Instead of opening 5 browser tabs and resizing assets, they ask their agent to use get_random_image_url five times, specifying the exact dimensions (e.g., 600x400) every time. The agent returns all five clean URLs instantly.
A/B testing image variations
A designer needs to compare how a component looks with blur vs. grayscale. They use the tool parameters in get_random_image_url multiple times, changing only the filter setting. This lets them quickly validate visual effects without manual asset prep.
Building a catalogue of assets
A content manager needs to know all available images and their original dimensions for an open-source campaign. They call list_images first, then use get_image_info on key IDs to build a comprehensive metadata record.
Ensuring consistent UI state
When testing a checkout flow that requires the same banner image across multiple sessions, the developer uses get_seed_image_url. This guarantees the exact pixel data is retrieved every time for reliable component testing.
The Tradeoffs
Assuming metadata availability
A user just asks, 'What's the author of image ID 50?' and expects a simple text answer.
→
Don't assume. You must call get_image_info with the specific ID to reliably get the author name and other metadata fields like original dimensions.
Mixing random and specific IDs
Trying to use a general image search tool when you know the exact asset ID (e.g., 237). This is inefficient.
→
If you have an ID, always start with get_specific_image_url or get_image_info. Only use random tools if you genuinely don't know the target asset.
Ignoring formatting needs
Generating a massive image URL when the frontend only accepts small, compressed assets.
→
Always specify dimensions and format in get_random_image_url or get_specific_image_url. This ensures the output matches your required display size (e.g., 1200x800).
When It Fits, When It Doesn't
Use this server if you need to generate, retrieve, or inspect placeholder image assets and their metadata programmatically. The tools are best when you need precise control: do you need a random asset (get_random_image_url), a guaranteed consistent asset (get_seed_image_url), or full details about an existing ID (get_image_info)?
Don't use this if your goal is to manage real, production-ready images. This server is for mockups and development testing only. If you need permanent storage management, look at dedicated cloud storage APIs (like AWS S3 or Google Cloud Storage). If you just need a simple image link without any metadata attached, a basic URL generator might suffice—but if you need author credits or original dimensions, use this tool.
Independent Platform Disclaimer: Vinkius is an independent platform and is not affiliated with, endorsed by, sponsored by, verified by, or otherwise authorized by Lorem Picsum. 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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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 6 capabilities that interface natively with Claude, ChatGPT, Cursor, and any MCP client. No middleware. No custom integration required.
Available Capabilities
Finding the right placeholder image shouldn't involve opening a new tab and resizing assets manually.
Before MCP servers, populating UI mockups meant leaving your code editor. You’d open a browser, navigate to a stock photo site, find an image that 'looked close enough,' download it, resize it in Photoshop, and then save the URL back into your component file—a multi-step nightmare.
Now, you just tell your agent what you need. Using `get_random_image_url` lets you ask for a 1000x600 image with a blur filter applied, and the agent returns the perfect link instantly. It keeps all your work inside your IDE.
Lorem Picsum MCP Server: Get Author Credits and Image Data Instantly
Previously, if you found an image that worked, getting the author's credit or knowing its original resolution required clicking through multiple metadata pages. You’d have to copy three separate pieces of information just to cite it correctly.
With this server, calling `get_image_info` on any ID pulls all that data—author, dimensions, and format—into a clean JSON object you can use immediately for attribution or documentation.
Common Questions About Lorem Picsum MCP
How can I get a blurred or grayscale version of a random image? +
You can use the get_random_image_url tool and set the blur parameter (1-10) or the grayscale boolean to true. The agent will construct the correct URL for you.
Is it possible to always get the same image for a specific UI element? +
Yes! Use the get_seed_image_url tool with a unique seed string. This ensures that the same image is returned every time you use that specific seed.
Can I find out who the author of a specific image is? +
Absolutely. Use the get_image_info tool with the image ID. It will return the author's name, the original dimensions, and the source URL.
Do I need to worry about API keys when using list_images? +
No, you don't need an API key for public access. The server operates on the Model Context Protocol standard and is publicly available through Vinkius.
How do I retrieve a large number of images using list_images? +
You must handle pagination manually. To get results beyond the initial set, pass the next page token or offset parameter when calling list_images again.
What happens if I use get_specific_image_url with an invalid ID? +
The tool returns a structured error object. This message tells you exactly which parameter failed, allowing your AI client to correct the input immediately.
Can I verify a seed string's metadata using get_seed_info? +
Yes, get_seed_info retrieves comprehensive data for that exact seed. This confirms its existence and provides all the initial context needed for reliable UI testing.
What is the recommended way to specify dimensions with get_random_image_url? +
Always provide explicit width and height parameters. Giving these values ensures the resulting URL is predictable and meets your layout constraints right away.
Use it with your favorite AI tools
Connect this server to Cursor, Claude, VS Code, and more.
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