{"id":37775,"date":"2025-06-17T05:00:00","date_gmt":"2025-06-17T12:00:00","guid":{"rendered":"https:\/\/cloudinary.com\/blog\/?p=37775"},"modified":"2025-07-18T11:32:11","modified_gmt":"2025-07-18T18:32:11","slug":"cloudinary-mcp-server","status":"publish","type":"post","link":"https:\/\/cloudinary.com\/blog\/cloudinary-mcp-server","title":{"rendered":"Cloudinary\u2019s MCP Server: How Builders and AI Create Together"},"content":{"rendered":"\n<p class=\"has-text-align-center\"><em>Developers and builders can now connect Cloudinary to their preferred LLM.<\/em><\/p>\n\n\n\n<p>The new Cloudinary Model Context Protocol (MCP) (beta) server is officially live! Now you can connect AI agents to Cloudinary functions to test rapidly, automate more creatively, and develop cross-system workflows without writing code.&nbsp;(<a href=\"https:\/\/www.businesswire.com\/news\/home\/20250617855668\/en\/Cloudinary-Introduces-Cloudinary-Model-Context-Protocol-MCP-Server-and-AI-ready-Documentation\">See full press release here<\/a>.)<\/p>\n\n\n\n<p>Along with new OpenAPI specs and AI-ready documentation, the release of our MCP server is the next step toward a new era of building where developers, vibe coders, and non-technical builders can create and launch rich visual apps, products, product MVPs, demos, and more using natural language.<\/p>\n\n\n<cld-video-player\n      cloud-name='cloudinary-marketing'\n      public-id='Sanjay_MCP_Announce_Exp02_noMusic'\n      js-config='{\"playbackRates\":[0.5,1,1.5,2]}'\n      style='max-width: ;'\n      class='c-video-player'\n      poster-timestamp='3'\n      core-version='2.12.3'\n      player-version='1.7.0'\n      >\n      <video\n        id='_video-player69d650352e368'\n        data-cld-big-play-button='init'\n        data-cld-source-types='[\"hls\",\"webm\\\/vp9\",\"mp4\\\/h265\",\"mp4\"]'\n        controls\n        muted\n        class='cld-video-player cld-fluid wp-block-cloudinary-video-player  cld-video-player-skin-dark'\n      ><\/video>\n    <\/cld-video-player>\n\n\n<h2 class=\"wp-block-heading\">What is MCP Exactly?<\/h2>\n\n\n\n<p>For those unfamiliar with Model Context Protocol, here\u2019s a quick explanation.&nbsp;<\/p>\n\n\n<cld-video-player\n      cloud-name='cloudinary-marketing'\n      public-id='Matt-MCP_exp04'\n      js-config='{\"playbackRates\":[0.5,1,1.5,2]}'\n      style='max-width: ;'\n      class='c-video-player'\n      \n      core-version='2.12.3'\n      player-version='1.7.0'\n      >\n      <video\n        id='_video-player69d650352e67e'\n        data-cld-big-play-button='init'\n        data-cld-source-types='[\"hls\",\"webm\\\/vp9\",\"mp4\\\/h265\",\"mp4\"]'\n        controls\n        muted\n        class='cld-video-player cld-fluid wp-block-cloudinary-video-player  cld-video-player-skin-dark'\n      ><\/video>\n    <\/cld-video-player>\n\n\n<h2 class=\"wp-block-heading\">How Does MCP Work?<\/h2>\n\n\n\n<p>LLMs like Claude are powerful for generating text, but they don\u2019t have access to live data, external tools, or real-time context. Matt Noyes, Cloudinary\u2019s Senior Director of Product Marketing, sums it up this way: \u201cMCP, as a set of rules, fills that gap. It gives these models a way to use tools and data they weren\u2019t trained on and can\u2019t access by themselves.\u201d<\/p>\n\n\n\n<p>With the help of MCP, these LLMs and <a href=\"https:\/\/www.nimblechapps.com\/blog\/exploring-agentic-ai-what-it-means-and-everything-in-it\" target=\"_blank\" rel=\"noreferrer noopener\">AI agents<\/a> can go beyond their traditional limitations to use outside tools and handle complex requests without being constantly retrained.<\/p>\n\n\n\n<p>For example, after allowing Claude access to Cloudinary\u2019s MCP server, you can tell it, \u201cFind all assets with the tag &#8216;holiday2025&#8217; and move them to the folder &#8216;holiday2025_campaign&#8217;.&#8221; Claude will complete that task on your behalf, then respond with: \u201cDone! I\u2019ve added the tag \u2018holiday2024\u2019 to all images in the current folder.\u201d<\/p>\n\n\n\n<h2 class=\"wp-block-heading\">What Does the Launch of the MCP Server Mean for Cloudinary Users?<\/h2>\n\n\n\n<p>Cloudinary users can now manage, transform, and optimize visual media with natural language prompts.&nbsp;<\/p>\n\n\n\n<p>Here\u2019s just some of what you can expect:&nbsp;<\/p>\n\n\n\n<ul class=\"wp-block-list\">\n<li><strong>LLM-readable and retrievable documentation. <\/strong>Access Cloudinary docs as structured Markdown, with chunk-level metadata and code blocks optimized for AI tools.<\/li>\n<\/ul>\n\n\n\n<ul class=\"wp-block-list\">\n<li><strong>Accurate, updated API calls. <\/strong>Forget outdated answers or hallucinated API calls. Tools like Cursor and Claude now fetch official docs directly from Cloudinary\u2019s Markdown and MCP sources.&nbsp;<\/li>\n<\/ul>\n\n\n\n<ul class=\"wp-block-list\">\n<li><strong>Dedicated documentation and video tutorials. <\/strong><a href=\"https:\/\/cloudinary.com\/documentation\/cloudinary_llm_mcp#banner\">Learn from tutorials covering MCP configuration<\/a> in various IDEs, tips, and use cases for getting the most out of Cloudinary\u2019s MCP server.&nbsp;<\/li>\n<\/ul>\n\n\n\n<ul class=\"wp-block-list\">\n<li><strong>Real-time API awareness.<\/strong> Automate creatively with Claude and OpenAI Assistants that can now (via API):\n<ul class=\"wp-block-list\">\n<li>Understand and navigate the API structure.<\/li>\n\n\n\n<li>Validate input types and required parameters.<\/li>\n\n\n\n<li>Generate accurate SDK-based calls (Node.js, Python, etc.).<\/li>\n\n\n\n<li>Suggest inline examples directly in the IDE.<\/li>\n<\/ul>\n<\/li>\n<\/ul>\n\n\n\n<ul class=\"wp-block-list\">\n<li><strong>Exposed upload and Admin APIs via dedicated MCP servers.<\/strong> Give LLM tools programmatic access to Cloudinary endpoint definitions and parameters.<\/li>\n<\/ul>\n\n\n\n<ul class=\"wp-block-list\">\n<li><strong>Execution-ready APIs.<\/strong> By providing an API key and endpoint, empower AI tools to begin chaining or calling Cloudinary API operations in live tasks or CLI scripts.<\/li>\n<\/ul>\n\n\n\n<ul class=\"wp-block-list\">\n<li><strong>Build using Base44 integration.<\/strong> Base44 is a no-code automation agent with a Cloudinary integration with preloaded knowledge of Cloudinary\u2019s product and capabilities. Users of any skill level can quickly create full apps using natural language prompts.<\/li>\n<\/ul>\n\n\n\n<h2 class=\"wp-block-heading\">Example Use Cases<\/h2>\n\n\n\n<p>You can use your AI agent of choice to tag files, create metadata fields, crop assets, automate workflows, and complete a host of other tasks. Here are just a few ideas to get you started:&nbsp;<\/p>\n\n\n\n<h3 class=\"wp-block-heading\">Automate Media Workflows<\/h3>\n\n\n\n<ul class=\"wp-block-list\">\n<li><strong>Upload assets. <\/strong>Claude can receive a file and upload it to a specific folder or location in Cloudinary.<\/li>\n\n\n\n<li><strong>Organize media. <\/strong>Tag, categorize, or move assets based on metadata.<\/li>\n\n\n\n<li><strong>Delete or archive. <\/strong>Automatically remove outdated or unused media as part of a cleanup.<\/li>\n<\/ul>\n\n\n\n<h3 class=\"wp-block-heading\">Orchestrate Complex Workflows<\/h3>\n\n\n\n<ul class=\"wp-block-list\">\n<li><strong>Create multi-step automations. <\/strong>Chain taste like uploading a file, tagging it, applying a transformation, generating delivery URLs.<\/li>\n\n\n\n<li><strong>Integrate across tools. <\/strong>Trigger or respond to events from other systems using an AI agent as a coordinator.<\/li>\n<\/ul>\n\n\n\n<h3 class=\"wp-block-heading\">Asset Retrieval and Insights<\/h3>\n\n\n\n<ul class=\"wp-block-list\">\n<li><strong>Search media assets.<\/strong> Retrieve files using natural language prompts like: \u201cRetrieve all image assets with the tag \u2018car\u2019\u201d.<\/li>\n\n\n\n<li><strong>Uncover media and insights. <\/strong>Use Claude to uncover assets based on metadata and tags, and ask for suggestions on how to improve.<\/li>\n<\/ul>\n\n\n\n<h2 class=\"wp-block-heading\">What\u2019s Next?<strong>&nbsp;<\/strong><\/h2>\n\n\n\n<p>With the release of our new MCP server, we hope to empower builders of all kinds to explore the future of creating rich visual experiences with Cloudinary. And we\u2019re just getting started. These tools pave the way for a suite of Cloudinary-native agents that will automate content workflows, moderation, transformations, and delivery,&nbsp;putting creative power in the hands of every builder.&nbsp;<\/p>\n\n\n\n<p>For more detailed information, visit <a href=\"https:\/\/cloudinary.com\/documentation\/cloudinary_llm_mcp\">Cloudinary Documentation<\/a>.&nbsp;<\/p>\n\n\n\n<p><\/p>\n","protected":false},"excerpt":{"rendered":"<p>Developers and builders can now connect Cloudinary to their preferred LLM. The new Cloudinary Model Context Protocol (MCP) (beta) server is officially live! Now you can connect AI agents to Cloudinary functions to test rapidly, automate more creatively, and develop cross-system workflows without writing code.&nbsp;(See full press release here.) Along with new OpenAPI specs and [&hellip;]<\/p>\n","protected":false},"author":87,"featured_media":37796,"comment_status":"closed","ping_status":"open","sticky":false,"template":"","format":"standard","meta":{"_acf_changed":false,"_cloudinary_featured_overwrite":false,"footnotes":""},"categories":[1],"tags":[336,409,363],"class_list":["post-37775","post","type-post","status-publish","format-standard","has-post-thumbnail","hentry","category-uncategorized","tag-ai","tag-generative-ai","tag-media-flows"],"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>Cloudinary MCP Server: Connect LLMs to Visual Media Workflows<\/title>\n<meta name=\"description\" content=\"Cloudinary\u2019s new MCP server lets AI agents like Claude connect to Cloudinary APIs. 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