{"id":20356,"date":"2025-05-27T05:32:40","date_gmt":"2025-05-27T05:32:40","guid":{"rendered":"https:\/\/uxmag.com\/?p=20356"},"modified":"2025-05-28T16:36:05","modified_gmt":"2025-05-28T16:36:05","slug":"what-to-know-about-model-context-protocol-mcp","status":"publish","type":"post","link":"https:\/\/uxmag.com\/articles\/what-to-know-about-model-context-protocol-mcp","title":{"rendered":"What to Know About Model Context Protocol (MCP)"},"content":{"rendered":"\n<p>Model Context Protocol (MCP) has quickly emerged as a topic of interest in conversations about AI for business. This post explains the significance of MCP, how the technology works, its revolutionary aspects, and how organizations can position themselves to use it.<\/p>\n\n\n\n<p>MCP was released by Anthropic last November, described as<em>&nbsp;<strong>\u201ca new standard for connecting AI assistants to the systems where data lives, including content repositories, business tools, and development environments.\u201d<\/strong><\/em><sup>1<\/sup><\/p>\n\n\n\n<p>MCP is significant because it directly addresses a problem that AI agents present for most organizations:&nbsp;<strong>interconnectivity<\/strong>. In an ideal framework, AI agents can be sequenced to work together while utilizing shared tools and information. This is often described as&nbsp;<a href=\"https:\/\/onereach.ai\/journal\/unlocking-enterprise-value-with-ai-agent-orchestration\/\" target=\"_blank\" rel=\"noreferrer noopener\">orchestration<\/a>, and in that sense, an MCP is like the sheet music that gets passed around to all of the players in the orchestra before a concert.<\/p>\n\n\n\n<p>Sheet music comes in a standardized language that the musicians in an orchestra can understand. Each player\u2019s set of instructions is different, telling them which instrument to use, when to use it, and how. In this way, MCP can make it far easier for AI agents to communicate with the other elements in an organization\u2019s technology ecosystem.<\/p>\n\n\n\n<h2 class=\"wp-block-heading\">How does MCP work?<\/h2>\n\n\n\n<p>As a protocol with standardized ways to communicate information, MCP gives AI agents clear rules for how to locate, connect to, and use external tools. In action, an AI agent uses JSON (JavaScript Object Notation) to query an MCP server that provides access to requested tools, resources, and prompts. This provides two-way communication between AI agents, data sources, and tools.<\/p>\n\n\n\n<figure class=\"wp-block-image size-large\"><img decoding=\"async\" width=\"1024\" height=\"711\" src=\"https:\/\/uxmag.com\/wp-content\/uploads\/2025\/05\/Image-1-1024x711.png\" alt=\"\" class=\"wp-image-20357\" srcset=\"https:\/\/uxmag.com\/wp-content\/uploads\/2025\/05\/Image-1-1024x711.png 1024w, https:\/\/uxmag.com\/wp-content\/uploads\/2025\/05\/Image-1-300x208.png 300w, https:\/\/uxmag.com\/wp-content\/uploads\/2025\/05\/Image-1-768x533.png 768w, https:\/\/uxmag.com\/wp-content\/uploads\/2025\/05\/Image-1-400x278.png 400w, https:\/\/uxmag.com\/wp-content\/uploads\/2025\/05\/Image-1-331x230.png 331w, https:\/\/uxmag.com\/wp-content\/uploads\/2025\/05\/Image-1.png 1400w\" sizes=\"(max-width: 1024px) 100vw, 1024px\" \/><figcaption class=\"wp-element-caption\"><em><strong>Figure 1<\/strong>: MCP Deep-Dive. Image source: <a href=\"https:\/\/www.anthropic.com\/\" target=\"_blank\" rel=\"noreferrer noopener\">Anthropic<\/a><\/em><\/figcaption><\/figure>\n\n\n\n<p>MCP servers exist in&nbsp;<a href=\"https:\/\/github.com\/modelcontextprotocol\/servers\" target=\"_blank\" rel=\"noreferrer noopener\">an open-source repository<\/a>,&nbsp;and Anthropic has shared pre-built servers for enterprise systems like Google Drive, Slack, GitHub, Git, Postgres, and Puppeteer. Because MCP is open-source, it\u2019s technology agnostic, and anyone can experiment with it using their own tools and models.<\/p>\n\n\n\n<p><strong>Advantages of MCP include:<\/strong><\/p>\n\n\n\n<ul class=\"wp-block-list\">\n<li>More flexible and scalable than custom API integrations,<\/li>\n\n\n\n<li>Compatible with frameworks like LangChain and Agents,<\/li>\n\n\n\n<li>Compatible with an open technology ecosystem that integrates market-best tools and models.<\/li>\n<\/ul>\n\n\n\n<blockquote class=\"wp-block-quote is-layout-flow wp-block-quote-is-layout-flow\">\n<p><\/p>\n<cite><em>\u201cWithout MCP (or something like it), every time an agent needs to do something in the world \u2014 whether fetching a file, querying a database, or invoking an API \u2014 developers would have to wire up a custom integration or use ad-hoc solutions,\u201d<\/em>&nbsp;Ksenia Se wrote in her post for Hugging Face.&nbsp;<em>\u201cThat\u2019s like building a robot but having to custom-craft each finger to grasp different objects \u2014 tedious and not scalable.\u201d<\/em><sup>2<\/sup><\/cite><\/blockquote>\n\n\n\n<h2 class=\"wp-block-heading\">Does MCP change everything?<\/h2>\n\n\n\n<p>Providing a standardized interface for AI agents to communicate with a broader ecosystem of information and software is revolutionary. Still, the initial release of MCP went largely unnoticed until earlier this year,&nbsp;<a href=\"https:\/\/www.tiktok.com\/@individualkex\/video\/7491794273508134190\" target=\"_blank\" rel=\"noreferrer noopener\">when MCP seemed to eclipse AI agents<\/a>&nbsp;as the focal point of marketplace attention.<\/p>\n\n\n\n<blockquote class=\"wp-block-quote is-layout-flow wp-block-quote-is-layout-flow\">\n<p><\/p>\n<cite><em>\u201cMCP is bigger as an idea than it is as an actual technological achievement,\u201d<\/em>&nbsp;says Robb Wilson, CEO and co-founder of OneReach.ai, noting that the real revolution comes with the trajectory MCP opens.<em>&nbsp;\u201cIts implications and where it\u2019s going is what\u2019s exciting.\u201d<\/em><\/cite><\/blockquote>\n\n\n\n<p>Those implications relate to how the MCP closes the gap between LLM-based AI agents and real-world business systems and information. Block (Square), Apollo, Zed, Replit, Codeium, and Sourcegraph were early MCP adopters, and the ecosystem now has more than 1,000 community-built MCP servers.<\/p>\n\n\n\n<p>Add to this growth in the MCP ecosystem Sam Altman\u2019s announcement last month that OpenAI will support MCP across its products, including the desktop app for ChatGPT.<sup>3<\/sup> Just days ago, Google released their own Agent2Agent (A2A) protocol that they describe as a complement to MCP. The tech giant cited support from 50+ partners, including Atlassian, Intuit, PayPal, Salesforce, ServiceNow, Workday, and leading service providers like Accenture, BCG, Capgemini, Cognizant, Deloitte, McKinsey, and PwC.<sup>4<\/sup><\/p>\n\n\n\n<p>This surge of interest and activity is noteworthy, but it points to something bigger than a single protocol. With traditional software, various tools and features are bundled by graphical user interfaces (GUIs).&nbsp;<strong>Agentic AI puts us on the cusp of a world where anyone can turn to a piece of technology and simply ask for help.&nbsp;<\/strong>Behind the scenes, a flurry of activity that includes MCP (or something like it) brings back the information or action requested. In this scenario, the GUI software bundle loses all relevance.<\/p>\n\n\n\n<p>As Wilson suggests, MCP breaks software into pieces: tools for hire that users will only care about in the moment that they are needed.<\/p>\n\n\n\n<blockquote class=\"wp-block-quote is-layout-flow wp-block-quote-is-layout-flow\">\n<p><\/p>\n<cite><em>\u201cWhat we\u2019re talking about is a single UI for all our software. That\u2019s massive. If we\u2019re talking about one UI that you can use to get a bunch of stuff done, people are going to want to own that UI. OpenAI thinks and hopes they will, Anthropic hopes and thinks they will.\u201d<\/em><\/cite><\/blockquote>\n\n\n\n<h2 class=\"wp-block-heading\">How to leverage MCP<\/h2>\n\n\n\n<p>Wondering who might end up owning a lone UI perched high on a distant mountaintop clearly isn\u2019t top-of-mind for businesses at this moment, but it does point to a critical factor that organizations have to consider as they are assembling a framework for agentic AI. The alternative to one UI for all software is individual organizations with UIs that are connected to their unique software ecosystem.<\/p>\n\n\n\n<p>The backend of a truly dynamic and useful organizational UI needs to be both open to new technologies and flexible enough to rearrange itself around any new requirements that come with them. MCP is open and model-agnostic, which aligns with these requirements, but its sudden rise to prominence is also a reminder that in this new era of conversational technologies, the idea of \u201cmarket-best\u201d is completely fluid. Revolutionary tools and approaches will continue to erupt and stumble over one another as agent orchestration matures.<\/p>\n\n\n\n<p>A world filled with high-functioning tech ecosystems might seem like a distant promise, but the race toward them is already underway. MCP is a key piece in this journey, both in the way that it standardizes communication between machines and in the way that it can contribute to an open ecosystem, where any tool or data source can become part of a bigger process automation.<\/p>\n\n\n\n<hr class=\"wp-block-separator has-alpha-channel-opacity\"\/>\n\n\n\n<ol class=\"wp-block-list\">\n<li><sup>1<\/sup><a href=\"https:\/\/www.anthropic.com\/news\/model-context-protocol\" target=\"_blank\" rel=\"noreferrer noopener\">\u201cIntroducing the Model Context Protocol,\u201d Anthropic<\/a><\/li>\n\n\n\n<li><sup>2<\/sup><a href=\"https:\/\/huggingface.co\/blog\/Kseniase\/mcp\" target=\"_blank\" rel=\"noreferrer noopener\">Ksenia Se, \u201c#14: What Is MCP, and Why Is Everyone \u2013 Suddenly! \u2013 Talking About It?,\u201d Hugging Face<\/a><\/li>\n\n\n\n<li><sup>3<\/sup><a href=\"https:\/\/techcrunch.com\/2025\/03\/26\/openai-adopts-rival-anthropics-standard-for-connecting-ai-models-to-data\/\" target=\"_blank\" rel=\"noreferrer noopener\">Kyle Wiggers, \u201cOpenAI adopts rival Anthropic\u2019s standard for connecting AI models to data,\u201d TechCrunch<\/a><\/li>\n\n\n\n<li><sup>4<\/sup><a href=\"https:\/\/developers.googleblog.com\/en\/a2a-a-new-era-of-agent-interoperability\/\" target=\"_blank\" rel=\"noreferrer noopener\">\u201cAnnouncing the Agent2Agent Protocol (A2A),\u201d Google<\/a><\/li>\n<\/ol>\n\n\n\n<p><em>The article originally appeared on <a href=\"https:\/\/onereach.ai\/journal\/what-to-know-about-model-context-protocol\/\" target=\"_blank\" rel=\"noreferrer noopener\">OneReach.ai<\/a>.<\/em><\/p>\n\n\n\n<p><em>Featured image courtesy: <a href=\"https:\/\/unsplash.com\/@pawel_czerwinski\" target=\"_blank\" rel=\"noreferrer noopener\">Pawel Czerwinski<\/a>.<\/em><\/p>\n","protected":false},"excerpt":{"rendered":"<p>Model Context Protocol (MCP) has quickly emerged as a topic of interest in conversations about AI for business. This post explains the significance of MCP, how the technology works, its revolutionary aspects, and how organizations can position themselves to use it. MCP was released by Anthropic last November, described as&nbsp;\u201ca new standard for connecting AI<\/p>\n","protected":false},"author":2670,"featured_media":20360,"comment_status":"closed","ping_status":"closed","sticky":false,"template":"","format":"standard","meta":{"_genesis_hide_title":false,"_genesis_hide_breadcrumbs":false,"_genesis_hide_singular_image":false,"_genesis_hide_footer_widgets":false,"_genesis_custom_body_class":"","_genesis_custom_post_class":"","_genesis_layout":"","footnotes":""},"categories":[1],"tags":[],"topics":[3358,3207,3362,3313,3361,3360,3359],"class_list":{"0":"post-20356","1":"post","2":"type-post","3":"status-publish","4":"format-standard","5":"has-post-thumbnail","7":"category-uncategorized","8":"topics-agent-orchestration","9":"topics-ai-agents","10":"topics-ai-infrastructure","11":"topics-conversational-ai","12":"topics-emerging-technology","13":"topics-enterprise-ai","14":"topics-model-context-protocol-mcp","15":"entry"},"yoast_head":"<!-- This site is optimized with the Yoast SEO Premium plugin v18.2.1 (Yoast SEO v25.9) - https:\/\/yoast.com\/wordpress\/plugins\/seo\/ -->\n<title>What to Know About Model Context Protocol (MCP) - UX Magazine<\/title>\n<meta name=\"description\" content=\"AI agents promise to transform how work gets done \u2014 but without a shared language, they struggle to operate across tools and systems. Enter Model Context Protocol (MCP), a new open-source standard that\u2019s quickly gaining traction for solving this challenge. This article breaks down how MCP works, why it matters, and how it&#039;s paving the way for a future where AI agents can fluidly orchestrate complex tasks across entire tech ecosystems \u2014 no custom integrations required.\" \/>\n<meta name=\"robots\" content=\"index, follow, max-snippet:-1, max-image-preview:large, max-video-preview:-1\" \/>\n<link rel=\"canonical\" href=\"https:\/\/uxmag.com\/articles\/what-to-know-about-model-context-protocol-mcp\" \/>\n<meta property=\"og:locale\" content=\"en_US\" \/>\n<meta property=\"og:type\" content=\"article\" \/>\n<meta property=\"og:title\" content=\"What to Know About Model Context Protocol (MCP)\" \/>\n<meta property=\"og:description\" content=\"AI agents promise to transform how work gets done \u2014 but without a shared language, they struggle to operate across tools and systems. Enter Model Context Protocol (MCP), a new open-source standard that\u2019s quickly gaining traction for solving this challenge. 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