{"id":38026,"date":"2025-07-29T07:00:00","date_gmt":"2025-07-29T14:00:00","guid":{"rendered":"https:\/\/cloudinary.com\/blog\/?p=38026"},"modified":"2025-08-20T10:27:27","modified_gmt":"2025-08-20T17:27:27","slug":"cloudinary-mcp-server-scrape-mozzarella-camembert-parmesan","status":"publish","type":"post","link":"https:\/\/cloudinary.com\/blog\/cloudinary-mcp-server-scrape-mozzarella-camembert-parmesan","title":{"rendered":"Using Cloudinary&#8217;s New MCP Server to Scrape Mozzarella, Camembert and Parmesan"},"content":{"rendered":"\n<p>I&#8217;m always interested in how new technology can help us make our esoteric tasks a little less manual. Speaking of esoteric tasks, did you know that I curate a <a href=\"https:\/\/www.kaggle.com\/datasets\/jenlooper\/cheese\">machine learning model<\/a> to classify types of cheese? It was done to power a mobile app like this:<\/p>\n\n\n\n<figure class=\"wp-block-embed is-type-video is-provider-youtube wp-block-embed-youtube wp-embed-aspect-16-9 wp-has-aspect-ratio\"><div class=\"wp-block-embed__wrapper\">\n<iframe loading=\"lazy\" title=\"Jen Looper - Cheese Comparing NativeScript, Ionic, and React Native for Mobile App\" width=\"500\" height=\"281\" src=\"https:\/\/www.youtube.com\/embed\/1Kqtg1Mw2wc?feature=oembed\" frameborder=\"0\" allow=\"accelerometer; autoplay; clipboard-write; encrypted-media; gyroscope; picture-in-picture; web-share\" referrerpolicy=\"strict-origin-when-cross-origin\" allowfullscreen><\/iframe>\n<\/div><\/figure>\n\n\n\n<p>The trick with creating custom ML models is that you need to train a model with a bunch of good-quality images so that it can learn about the categories you want to test. In this case, I wanted to be able to walk into a cheese shop and, via my custom ML-enabled mobile app, determine the type of cheese that was available out of the six standard categories of cheese worldwide: bloomy, semi-soft, hard, fresh, blue, and washed-rind. Yes, this is important work.<\/p>\n\n\n\n<p>But digging through images online and manually dumping them into folders is a pain. Alternately, walking into your local cheese shop and shooting video to later split up into images using <code>ffmp<\/code>, all the while telling the sales people that &#8220;I&#8217;m fine, just building up a dataset for my ML model&#8221;, is kind of embarrassing. Isn&#8217;t there a better way?<\/p>\n\n\n\n<p>Turns out&#8230; YES! Recently, Cloudinary released an MCP server solution that would allow me to perform a quick web scrape to gather images of types of cheese that I can curate and upload, tagged, to my account. It&#8217;s the perfect use case! Make the images <em>come to you<\/em> using an agent, and make that agent work nicely with Cloudinary, your friend for visual media management. All while never leaving the comfort and safety of your IDE!<\/p>\n\n\n\n<p>Meet the Cheesy MCP \u2014 the AI-powered agent that scrapes free, Creative-Commons licensed, high-quality cheese photos and delivers them straight to your Cloudinary account.<\/p>\n\n\n\n<p>Of course, this system can be used with images other than cheese! Use it for a sweet way to curate other image categories too.<\/p>\n\n\n\n<h2 class=\"wp-block-heading\"><strong>What is This MCP Thing?<\/strong><\/h2>\n\n\n\n<p>The Model Context Protocol, <a href=\"https:\/\/www.anthropic.com\/news\/model-context-protocol\">launched by Anthropic<\/a> last November, is the new hotness power behind AI agents, enabling them to independently function to perform actions set by a user using an agreed-upon protocol. An example is asking an agent to crawl your mailbox periodically to gather receipts to build a monthly expense report, or periodically prowl the web for images of wedding cakes to add to a Pinterest board.<\/p>\n\n\n\n<p>Cloudinary has entered the field with an offering allowing you to connect your AI tools like Claude or Cursor to the Cloudinary service for automated asset management. Take a look at the open-source, free servers listed <a href=\"https:\/\/github.com\/cloudinary\/mcp-servers\">on GitHub<\/a> as they continue to develop and evolve.<\/p>\n\n\n\n<h2 class=\"wp-block-heading\"><strong>What Does This Have to Do With Cheese?<\/strong><\/h2>\n\n\n\n<p>Honestly, what a question. What <em>doesn&#8217;t<\/em> have to do with cheese? Still, glad you asked! I built a Python project to leverage this MCP tool from within Cursor, my IDE of choice. The agent surfs Google, bringing me images that I can curate ad hoc, with a nice automation workflow done via chat in Cursor. Once the images are available, I approve them and check their metadata for proper tagging, and say &#8216;upload&#8217; in chat. The images are then uploaded right on up to my Cloudinary account, all tagged up and with metadata intact.<\/p>\n\n\n\n<h2 class=\"wp-block-heading\"><strong>Up and Running<\/strong><\/h2>\n\n\n\n<p>There are a few things you need to do to leverage these servers and a few different ways you can do it. As a Cursor user, I was happy to simply use the &#8216;add to Cursor&#8217; buttons available for us:<\/p>\n\n\n\n<p>For Cursor users, you can install MCP servers with one click using <a href=\"https:\/\/docs.cursor.com\/deeplinks\">Cursor deeplinks<\/a>:<\/p>\n\n\n\n<p>The following MCP servers are available for Cloudinary:<\/p>\n\n\n\n<figure class=\"wp-block-table\"><table class=\"has-fixed-layout\"><tbody><tr><td><strong>Server Name<\/strong><\/td><td><strong>Description<\/strong><\/td><td><strong>GitHub Repo<\/strong><\/td><td><strong>Install<\/strong><\/td><\/tr><tr><td><a href=\"https:\/\/github.com\/cloudinary\/asset-management-js?tab=readme-ov-file#model-context-protocol-mcp-server\">Asset Management<\/a><\/td><td>Upload, manage, and transform your visual media assets with advanced search and organization capabilities.<\/td><td><a href=\"https:\/\/github.com\/cloudinary\/asset-management-js\">@cloudinary\/asset-management<\/a><\/td><td><img decoding=\"async\" src=\"https:\/\/cloudinary-marketing-res.cloudinary.com\/image\/upload\/v1753314956\/blog-Using_Cloudinary_s_New_MCP_Server_to_Scrape_Mozzarella_Camembert_and_Parmesan-2.png\" alt=\"\"><\/td><\/tr><tr><td><a href=\"https:\/\/github.com\/cloudinary\/environment-config-js?tab=readme-ov-file#model-context-protocol-mcp-server\">Environment Config<\/a><\/td><td>Configure and manage your Cloudinary environment settings, upload presets, and transformations.<\/td><td><a href=\"https:\/\/github.com\/cloudinary\/environment-config-js\">@cloudinary\/environment-config<\/a><\/td><td><img decoding=\"async\" src=\"https:\/\/cloudinary-marketing-res.cloudinary.com\/image\/upload\/v1753314956\/blog-Using_Cloudinary_s_New_MCP_Server_to_Scrape_Mozzarella_Camembert_and_Parmesan-2.png\" alt=\"\"><\/td><\/tr><tr><td><a href=\"https:\/\/github.com\/cloudinary\/structured-metadata-js?tab=readme-ov-file#model-context-protocol-mcp-server\">Structured Metadata<\/a><\/td><td>Create, manage, and query structured metadata fields for enhanced asset organization and searchability.<\/td><td><a href=\"https:\/\/github.com\/cloudinary\/structured-metadata-js\">@cloudinary\/structured-metadata<\/a><\/td><td><img decoding=\"async\" src=\"https:\/\/cloudinary-marketing-res.cloudinary.com\/image\/upload\/v1753314956\/blog-Using_Cloudinary_s_New_MCP_Server_to_Scrape_Mozzarella_Camembert_and_Parmesan-2.png\" alt=\"\"><\/td><\/tr><tr><td><a href=\"https:\/\/github.com\/cloudinary\/analysis-js?tab=readme-ov-file#model-context-protocol-mcp-server\">Analysis<\/a><\/td><td>Leverage AI-powered content analysis, moderation, and auto-tagging capabilities for your visual media assets.<\/td><td><a href=\"https:\/\/github.com\/cloudinary\/analysis-js\">@cloudinary\/analysis<\/a><\/td><td><img decoding=\"async\" src=\"https:\/\/cloudinary-marketing-res.cloudinary.com\/image\/upload\/v1753314956\/blog-Using_Cloudinary_s_New_MCP_Server_to_Scrape_Mozzarella_Camembert_and_Parmesan-2.png\" alt=\"\"><\/td><\/tr><tr><td><a href=\"https:\/\/cloudinary.com\/documentation\/mediaflows_mcp\">MediaFlows<\/a><\/td><td>Build and manage low-code workflow automations for images and videos with AI-powered assistance.<\/td><td>MediaFlows MCP<\/td><td><img decoding=\"async\" src=\"https:\/\/cloudinary-marketing-res.cloudinary.com\/image\/upload\/v1753314956\/blog-Using_Cloudinary_s_New_MCP_Server_to_Scrape_Mozzarella_Camembert_and_Parmesan-2.png\" alt=\"\"><\/td><\/tr><\/tbody><\/table><\/figure>\n\n\n\n<p>Make sure you have your Cloudinary account ready with your API credentials handy as you&#8217;ll need to update the environment variables with your actual credentials after installation.<\/p>\n\n\n\n<h2 class=\"wp-block-heading\"><strong>Start Your Engines<\/strong><\/h2>\n\n\n\n<p>Once I installed the MCP JSON into Cursor, it was picked up and I was invited to configure the server. Add your credentials right into the MCP settings:<\/p>\n\n\n<div class=\"wp-block-image\">\n<figure class=\"aligncenter size-large\"><img decoding=\"async\" src=\"https:\/\/cloudinary-marketing-res.cloudinary.com\/image\/upload\/v1753314956\/blog-Using_Cloudinary_s_New_MCP_Server_to_Scrape_Mozzarella_Camembert_and_Parmesan-3.jpg\" alt=\"MCP tools settings with credentials added\"\/><\/figure><\/div>\n\n\n<p>Once ready, Cursor helped me create a Python script to scrape images and dump them into my local folder. By far this was the most finicky bit: web scraping is an inexact science. Once that is done, the system prompts me to curate them:<\/p>\n\n\n<div class=\"wp-block-image\">\n<figure class=\"aligncenter size-large\"><img decoding=\"async\" src=\"https:\/\/cloudinary-marketing-res.cloudinary.com\/image\/upload\/v1753314956\/blog-Using_Cloudinary_s_New_MCP_Server_to_Scrape_Mozzarella_Camembert_and_Parmesan-4.jpg\" alt=\"Terminal after the web scraping is complete\"\/><\/figure><\/div>\n\n\n<p>After the scrape is done and <code>candidates<\/code> are offered for upload, I am invited to interact with the system via chat, telling the agent to <code>upload<\/code>. I can check and, if necessary, overwrite any tags for the images.<\/p>\n\n\n<div class=\"wp-block-image\">\n<figure class=\"aligncenter size-large\"><img decoding=\"async\" src=\"https:\/\/cloudinary-marketing-res.cloudinary.com\/image\/upload\/v1753314957\/blog-Using_Cloudinary_s_New_MCP_Server_to_Scrape_Mozzarella_Camembert_and_Parmesan-5.jpg\" alt=\"List of candidates after the web scraping\"\/><\/figure><\/div>\n\n\n<p>And once I give it the go-ahead, the system makes the handshake with my Cloudinary account and uploads the tagged images after I ensure they are correct:<\/p>\n\n\n<div class=\"wp-block-image\">\n<figure class=\"aligncenter size-large\"><img decoding=\"async\" src=\"https:\/\/cloudinary-marketing-res.cloudinary.com\/image\/upload\/v1753314957\/blog-Using_Cloudinary_s_New_MCP_Server_to_Scrape_Mozzarella_Camembert_and_Parmesan-6.jpg\" alt=\"Cloudinary's Metadata tab with the chosen image uploaded and tagged\"\/><\/figure><\/div>\n\n\n<h2 class=\"wp-block-heading\">Fresh, Not Moldy!<\/h2>\n\n\n\n<p>It&#8217;s a new experience for me to be able to use my IDE as an agent, making handshakes between systems that I can control using code and this protocol. And honestly it took a bit of a mindshift to understand that web scraping can be done this way, rather than a plain cron job + Python or web app. But it&#8217;s rather powerful, wouldn&#8217;t you say?<\/p>\n\n\n\n<p>Give the new Cloudinary MCP servers a try, and let me know what you build. You can check out <a href=\"https:\/\/github.com\/jlooper\/cheesy-mcp\">my codebase on GitHub<\/a>.<\/p>\n\n\n\n<p>Stay tuned for esoteric demos and <a href=\"https:\/\/cloudinary.com\/users\/register_free\">sign up<\/a> to enjoy the generous free tier of this top-notch image and video platform!<\/p>\n","protected":false},"excerpt":{"rendered":"<p>I&#8217;m always interested in how new technology can help us make our esoteric tasks a little less manual. Speaking of esoteric tasks, did you know that I curate a machine learning model to classify types of cheese? It was done to power a mobile app like this: The trick with creating custom ML models is [&hellip;]<\/p>\n","protected":false},"author":87,"featured_media":38046,"comment_status":"closed","ping_status":"open","sticky":false,"template":"","format":"standard","meta":{"_acf_changed":false,"_cloudinary_featured_overwrite":false,"footnotes":""},"categories":[1],"tags":[424,25],"class_list":["post-38026","post","type-post","status-publish","format-standard","has-post-thumbnail","hentry","category-uncategorized","tag-agentic","tag-asset-management"],"acf":[],"yoast_head":"<!-- This site is optimized with the Yoast SEO Premium plugin v25.6 (Yoast SEO v26.9) - https:\/\/yoast.com\/product\/yoast-seo-premium-wordpress\/ -->\n<title>Using Cloudinary&#039;s New MCP Server to Scrape Mozzarella, Camembert and Parmesan<\/title>\n<meta name=\"description\" content=\"Discover how to use Cloudinary&#039;s new Model Context Protocol (MCP) server to automate web scraping and instantly upload tagged images 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