{"id":29486,"date":"2026-06-22T14:54:10","date_gmt":"2026-06-22T11:54:10","guid":{"rendered":"https:\/\/www.intellectsoft.net\/blog\/?p=29486"},"modified":"2026-06-22T15:31:00","modified_gmt":"2026-06-22T12:31:00","slug":"model-context-protocol","status":"publish","type":"post","link":"https:\/\/www.intellectsoft.net\/blog\/model-context-protocol\/","title":{"rendered":"Why and How to Connect AI to Your Infrastructure with Model Context Protocol"},"content":{"rendered":"<h3><span style=\"font-weight: 400;\">Key Takeaways\u00a0<\/span><\/h3>\n<ul>\n<li style=\"font-weight: 400;\" aria-level=\"1\"><span style=\"font-weight: 400;\">MCP helps connect AI to your business systems and data, making it more intelligent, useful, and capable of completing real tasks.<\/span><\/li>\n<li style=\"font-weight: 400;\" aria-level=\"1\"><span style=\"font-weight: 400;\">Without MCP, AI can only provide answers; with MCP, it can integrate into your systems and take action.<\/span><\/li>\n<li style=\"font-weight: 400;\" aria-level=\"1\"><span style=\"font-weight: 400;\">The Model Context Protocol follows a simple Host \u2192 Client \u2192 Server architecture.<\/span><\/li>\n<li style=\"font-weight: 400;\" aria-level=\"1\"><span style=\"font-weight: 400;\">MCP sets up a standard connection between AI and business tools, data, and workflows, so it can access and process information in real-time.\u00a0<\/span><\/li>\n<li style=\"font-weight: 400;\" aria-level=\"1\"><span style=\"font-weight: 400;\">AI yields the most value when it\u2019s integrated with your infrastructure, in turn better automating processes and bringing more insights.\u00a0<\/span><\/li>\n<\/ul>\n<p>&nbsp;<\/p>\n<blockquote><p><i>\u201cThink of MCP as a USB-C port for AI applications.\u201d<\/i><\/p>\n<p><i><span style=\"font-weight: 400;\">\u00a0 \u00a0 \u00a0 \u00a0 \u00a0 \u00a0 \u00a0 \u00a0 \u00a0 \u00a0 \u00a0 \u00a0 \u00a0 \u00a0 \u00a0 \u00a0 \u00a0 \u00a0 \u00a0 \u00a0 \u00a0 \u00a0 \u00a0 \u00a0 \u00a0 \u00a0 \u00a0 \u00a0 \u00a0 \u00a0 \u00a0 \u00a0 \u00a0 \u00a0 \u00a0 \u00a0 \u00a0(Anthropic)<\/span><\/i><\/p><\/blockquote>\n<p>&nbsp;<\/p>\n<p><span style=\"font-weight: 400;\">If you ask any business today, <\/span><i><span style=\"font-weight: 400;\">\u201cDo you use AI? Or are you planning to integrate it?\u201d<\/span><\/i><span style=\"font-weight: 400;\"> You&#8217;ll hear the answer &#8216;nope&#8217; once in a blue moon.\u201d But new questions naturally emerge: <\/span><i><span style=\"font-weight: 400;\">\u201cHow do companies integrate AI into their infrastructure? And are they doing this successfully?\u201d <\/span><\/i><span style=\"font-weight: 400;\">Answers won\u2019t be so optimistic.<\/span><\/p>\n<p><span style=\"font-weight: 400;\">Sure, businesses are adopting AI, but most intelligent systems operate in isolation. Even the most advanced tools can\u2019t access real-time databases and new information to scale up. They are stuck with the training data and prompts created for them.<\/span><\/p>\n<p><span style=\"font-weight: 400;\">Luckily, Anthropic has introduced the <\/span><b>Model Context Protocol (MCP), <\/b><span style=\"font-weight: 400;\">an open-source standard with which AI models can interact with multiple data sources and scale up. They can connect their infrastructure to artificial intelligence and ensure their models understand their data, processes, and business context.<\/span><\/p>\n<p><span style=\"font-weight: 400;\">In this article, Intellectsoft\u2019s solution architect, Sergii Gagauz, explains the significance of MCP for AI integration and explains how to embed AI into a system with MCP. Keep reading: the best is yet to come.<\/span><\/p>\n<h2><span style=\"font-weight: 400;\">What is Model Context Protocol?<\/span><\/h2>\n<p><span style=\"font-weight: 400;\">Model Context Protocol is an open standard for connecting AI assistants with external systems. It\u2019s frequently described as &#8220;USB-C for AI. Businesses\u00a0 can use AI without MCP and with MCP, but let\u2019s see how this affects their performance.\u00a0<\/span><\/p>\n<p><img loading=\"lazy\" decoding=\"async\" class=\"alignnone wp-image-29488 size-full\" src=\"https:\/\/www.intellectsoft.net\/blog\/wp-content\/uploads\/img-1-4.png\" alt=\"With MCP - Without MCP\" width=\"1800\" height=\"876\" srcset=\"https:\/\/www.intellectsoft.net\/blog\/wp-content\/uploads\/img-1-4.png 1800w, https:\/\/www.intellectsoft.net\/blog\/wp-content\/uploads\/img-1-4-300x146.png 300w, https:\/\/www.intellectsoft.net\/blog\/wp-content\/uploads\/img-1-4-1024x498.png 1024w, https:\/\/www.intellectsoft.net\/blog\/wp-content\/uploads\/img-1-4-768x374.png 768w, https:\/\/www.intellectsoft.net\/blog\/wp-content\/uploads\/img-1-4-1536x748.png 1536w, https:\/\/www.intellectsoft.net\/blog\/wp-content\/uploads\/img-1-4-600x292.png 600w, https:\/\/www.intellectsoft.net\/blog\/wp-content\/uploads\/img-1-4-450x219.png 450w, https:\/\/www.intellectsoft.net\/blog\/wp-content\/uploads\/img-1-4-1000x487.png 1000w\" sizes=\"auto, (max-width: 1800px) 100vw, 1800px\" \/><\/p>\n<p><b>Without MCP, <\/b><span style=\"font-weight: 400;\">AI is a standalone assistant. What does it mean? It can answer questions and make suggestions. But it can\u2019t directly access your database, internal tools, or business applications. Is it okay? Of course, nope. Employees must copy data between systems, update tickets, send notifications, and perform other routine tasks on hand.\u00a0<\/span><\/p>\n<p><b>With MCP, <\/b><span style=\"font-weight: 400;\">AI is an integrated part of your daily workflows. It\u2019s a secret sauce of AI integration as it can connect to your infrastructure and swiftly find relevant information. In addition, thanks to MCP, AI can interact with tools such as GitHub, Jira, Slack, and databases. So you can focus on strategy while AI executes the workflows. So you don\u2019t need to manage every step manually.\u00a0<\/span><\/p>\n<p><span style=\"font-weight: 400;\">To sum up, with MCP, AI shifts from its role of text producer to an active participant in business and engineering. MCP has become a catalyst for AI agents in delivering enterprise value.\u00a0<\/span><\/p>\n<h2><span style=\"font-weight: 400;\">How Model Context Protocol Works<\/span><\/h2>\n<p><span style=\"font-weight: 400;\">At first sight, MCP may seem complex, but its architecture is plain. It follows a <\/span><b>Host \u2192 Client \u2192 Server<\/b><span style=\"font-weight: 400;\"> architecture that allows <\/span><a href=\"https:\/\/www.intellectsoft.net\/ai\"><span style=\"font-weight: 400;\">AI solutions<\/span><\/a><span style=\"font-weight: 400;\"> to securely communicate with external tools and data sources.\u00a0<\/span><\/p>\n<p><span style=\"font-weight: 400;\">Companies don\u2019t need to build custom integrations for every system, but use MCP to create a consistent connection layer between AI and enterprise infrastructure. Let\u2019s see how every component of the MCP architecture works.\u00a0<\/span><\/p>\n<p><img loading=\"lazy\" decoding=\"async\" class=\"alignnone wp-image-29489 size-full\" src=\"https:\/\/www.intellectsoft.net\/blog\/wp-content\/uploads\/img-2-4.png\" alt=\"How Model Context Protocol Works \" width=\"1800\" height=\"957\" srcset=\"https:\/\/www.intellectsoft.net\/blog\/wp-content\/uploads\/img-2-4.png 1800w, https:\/\/www.intellectsoft.net\/blog\/wp-content\/uploads\/img-2-4-300x160.png 300w, https:\/\/www.intellectsoft.net\/blog\/wp-content\/uploads\/img-2-4-1024x544.png 1024w, https:\/\/www.intellectsoft.net\/blog\/wp-content\/uploads\/img-2-4-768x408.png 768w, https:\/\/www.intellectsoft.net\/blog\/wp-content\/uploads\/img-2-4-1536x817.png 1536w, https:\/\/www.intellectsoft.net\/blog\/wp-content\/uploads\/img-2-4-600x319.png 600w, https:\/\/www.intellectsoft.net\/blog\/wp-content\/uploads\/img-2-4-450x239.png 450w, https:\/\/www.intellectsoft.net\/blog\/wp-content\/uploads\/img-2-4-1000x532.png 1000w\" sizes=\"auto, (max-width: 1800px) 100vw, 1800px\" \/><\/p>\n<ul>\n<li><b>MCP Clients: <\/b><span style=\"font-weight: 400;\">These are AI apps that interact with users and communicate with MCP servers. When a user submits a request, the client finds the right tools and data sources, interacts with MCP servers, and helps the AI complete the task. In simple terms, the client connects the AI model to external systems and business data.<\/span><\/li>\n<li><b>MCP Servers: <\/b><span style=\"font-weight: 400;\">MCP servers let AI access enterprise tools and data. They can connect AI to CRMs, databases, and other business systems. MCP servers also control what AI can and cannot access. This helps to secure sensitive information.\u00a0<\/span><\/li>\n<li><b>Data flow: <\/b><span style=\"font-weight: 400;\">When a user submits a request, the AI determines which datasets are needed to complete it. Then, the MCP client finds the relevant tools and data sources through the MCP servers. Finally, AI processes the outputs and delivers a response to the user.\u00a0<\/span><\/li>\n<\/ul>\n<p><span style=\"font-weight: 400;\">All in all, MCP allows AI to work with real business systems and data in real time and go beyond its training data.<\/span><\/p>\n<h2><span style=\"font-weight: 400;\">What Can AI Access Through MCP?\u00a0<\/span><\/h2>\n<p><span style=\"font-weight: 400;\">One of the key superpowers of MCP is that it standardizes how AI systems interact with external sources. Through the Model Context Protocol, AI can access tools, resources, and prompts. Let\u2019s review them as they provide the context and functionality needed to complete real business tasks!<\/span><\/p>\n<p><img loading=\"lazy\" decoding=\"async\" class=\"alignnone wp-image-29490 size-full\" src=\"https:\/\/www.intellectsoft.net\/blog\/wp-content\/uploads\/img-3-1.png\" alt=\"What Can AI Access Through MCP \" width=\"1800\" height=\"1130\" srcset=\"https:\/\/www.intellectsoft.net\/blog\/wp-content\/uploads\/img-3-1.png 1800w, https:\/\/www.intellectsoft.net\/blog\/wp-content\/uploads\/img-3-1-300x188.png 300w, https:\/\/www.intellectsoft.net\/blog\/wp-content\/uploads\/img-3-1-1024x643.png 1024w, https:\/\/www.intellectsoft.net\/blog\/wp-content\/uploads\/img-3-1-768x482.png 768w, https:\/\/www.intellectsoft.net\/blog\/wp-content\/uploads\/img-3-1-1536x964.png 1536w, https:\/\/www.intellectsoft.net\/blog\/wp-content\/uploads\/img-3-1-600x377.png 600w, https:\/\/www.intellectsoft.net\/blog\/wp-content\/uploads\/img-3-1-450x283.png 450w, https:\/\/www.intellectsoft.net\/blog\/wp-content\/uploads\/img-3-1-1000x628.png 1000w\" sizes=\"auto, (max-width: 1800px) 100vw, 1800px\" \/><\/p>\n<h3><span style=\"font-weight: 400;\">Tools: actions AI can perform\u00a0<\/span><\/h3>\n<p><span style=\"font-weight: 400;\">First, we\u2019ll focus on tools. They allow AI to integrate with other systems and take action. They turn AI into a doer. An AI assistant can create a Jira ticket, reply to a Slack message, search a PostgreSQL database, or update records in a CRM \u2013 all this saves your team\u2019s time and cuts the number of routine tasks. AI completes repetitive work, while your employees focus on strategic and creative roles.<\/span><\/p>\n<h3><span style=\"font-weight: 400;\">Resources: data AI can access<\/span><\/h3>\n<p><span style=\"font-weight: 400;\">Another external source of AI intelligence is the resources or data it can access. This is all information stored in business systems, and thanks to MCP, AI can use it. CRM records, support tickets, internal documentation, inventory databases, knowledge bases, or API responses \u2013 all these can be used as resources for your AI tool. Shift from training data to real-time business data is a good way to benefit from statistical algorithms.<\/span><\/p>\n<h3><span style=\"font-weight: 400;\">Prompts: reusable instructions and workflows<\/span><\/h3>\n<p><span style=\"font-weight: 400;\">The quality of an AI system&#8217;s work also depends on the prompts it relies on. No doubt, prompts define how <\/span><a href=\"https:\/\/www.intellectsoft.net\/blog\/what-is-generative-ai\/\"><span style=\"font-weight: 400;\">generative AI <\/span><\/a><span style=\"font-weight: 400;\">performs specific tasks. You need a lot of time to create prompts for every task. But it\u2019s possible to generate reusable instructions for internal knowledge retrieval, data analysis, or customer support. Indeed, it\u2019s a good way to standardize interactions and achieve more consistent results.<\/span><\/p>\n<p><img loading=\"lazy\" decoding=\"async\" class=\"alignnone wp-image-29493 size-large\" src=\"https:\/\/www.intellectsoft.net\/blog\/wp-content\/uploads\/img-4-1-1024x573.png\" alt=\"Prompts: reusable instructions and workflows \" width=\"1024\" height=\"573\" srcset=\"https:\/\/www.intellectsoft.net\/blog\/wp-content\/uploads\/img-4-1-1024x573.png 1024w, https:\/\/www.intellectsoft.net\/blog\/wp-content\/uploads\/img-4-1-300x168.png 300w, https:\/\/www.intellectsoft.net\/blog\/wp-content\/uploads\/img-4-1-768x430.png 768w, https:\/\/www.intellectsoft.net\/blog\/wp-content\/uploads\/img-4-1-1536x860.png 1536w, https:\/\/www.intellectsoft.net\/blog\/wp-content\/uploads\/img-4-1-600x336.png 600w, https:\/\/www.intellectsoft.net\/blog\/wp-content\/uploads\/img-4-1-450x252.png 450w, https:\/\/www.intellectsoft.net\/blog\/wp-content\/uploads\/img-4-1-1000x560.png 1000w, https:\/\/www.intellectsoft.net\/blog\/wp-content\/uploads\/img-4-1.png 1800w\" sizes=\"auto, (max-width: 1024px) 100vw, 1024px\" \/><\/p>\n<p>&nbsp;<\/p>\n<p><span style=\"font-weight: 400;\">This diagram shows how an AI can use the Model Context Protocol to connect separate apps without any custom integration code. With just a single text prompt, AI can automatically find and update Jira tickets, seamlessly posting the summary to Slack.<\/span><\/p>\n<h2><span style=\"font-weight: 400;\">Why AI Systems Need Access to Enterprise Infrastructure\u00a0<\/span><\/h2>\n<p><span style=\"font-weight: 400;\">Many businesses feel frustrated while integrating AI without understanding where it can be applicable and how to grow it with data. And if you hear thoughts that AI is just a hype and AI-backed systems don\u2019t work with enterprise infrastructure, don\u2019t listen to them. They just failed to connect it properly and feed it with the latest data. So let\u2019s clarify why it\u2019s vital to ensure AI systems have access to your infrastructure!<\/span><\/p>\n<ul>\n<li style=\"font-weight: 400;\" aria-level=\"1\"><b>Access to real business data<\/b><span style=\"font-weight: 400;\"> instead of relying solely on training data and generic knowledge.<\/span><\/li>\n<li style=\"font-weight: 400;\" aria-level=\"1\"><b>Precise, relevant outputs<\/b><span style=\"font-weight: 400;\"> tailored to your customers, operations, and processes.\u00a0<\/span><\/li>\n<li style=\"font-weight: 400;\" aria-level=\"1\"><b>Everyday workflow automation<\/b><span style=\"font-weight: 400;\"> across Jira, Slack, GitHub, ERP, and CRM systems<\/span><\/li>\n<li style=\"font-weight: 400;\" aria-level=\"1\"><b>Higher performance and efficiency<\/b><span style=\"font-weight: 400;\"> through less manual effort and more emphasis on strategic tasks.<\/span><\/li>\n<\/ul>\n<p><span style=\"font-weight: 400;\">AI can become valuable when it can access your enterprise infrastructure via MCP and deliver outputs based on your datasets. That is the reason why the MCP is a kind of bridge between artificial intelligence and your business system.\u00a0<\/span><\/p>\n<h2><span style=\"font-weight: 400;\">What AI Integration with MCP Can Do for Your Business<\/span><\/h2>\n<p><span style=\"font-weight: 400;\">Thanks to MCP, companies see significant improvement in both AI capabilities and development team productivity. But let\u2019s review what gains you can receive from AI integration with MCP!<\/span><\/p>\n<h3><span style=\"font-weight: 400;\">Faster <\/span><a href=\"https:\/\/www.intellectsoft.net\/ai\/development\"><span style=\"font-weight: 400;\">AI software development<\/span><\/a><span style=\"font-weight: 400;\"> and integration\u00a0<\/span><\/h3>\n<p><span style=\"font-weight: 400;\">With MCP, you build AI systems faster and more easily. Your developers don\u2019t need to write custom code for every integration. They can use ready-made MCP servers or quickly build one using a standard template.<\/span><\/p>\n<p><span style=\"font-weight: 400;\">What used to take days can now be done in hours if you connect via the Model Context Protocol. Plus, when they build an MCP server, they can reuse it across different AI systems and agents. So businesses can test their ideas faster. They can plug in different MCP connectors and run multiple AI use cases in parallel.<\/span><\/p>\n<h3><span style=\"font-weight: 400;\">Improved AI responses and relevance\u00a0<\/span><\/h3>\n<p><span style=\"font-weight: 400;\">Integration of AI with MCP is a great way to make your AI model more accurate and practical, as it pulls real-time, fresh data and doesn\u2019t rely on outdated training datasets. As a result, AI captures the full context and nails it faster, saving time and boosting productivity.<\/span><\/p>\n<p><span style=\"font-weight: 400;\">Becoming more intelligent, AI can answer precisely about your processes, documents, and customer data. For instance, if you code with AI, it can detect issues in your code and offer fixes.<\/span><\/p>\n<h3><span style=\"font-weight: 400;\">Multi-step task automation\u00a0<\/span><\/h3>\n<p><span style=\"font-weight: 400;\">Certainly, AI integration using MCP makes statistical algorithms more advanced. In what way? It enables AI to manage tricky multi-step tasks that involve many tools. So your intelligent system doesn&#8217;t need to switch between apps. It can move between applications and carry out the full workflow.\u00a0<\/span><\/p>\n<p><span style=\"font-weight: 400;\">For example, AI can check a calendar, schedule a meeting, send invitations, update records, and notify the team \u2013 all from one prompt. MCP turns AI into a digital assistant that keeps everything in sync and completes tasks with minimal human help.<\/span><\/p>\n<h3><span style=\"font-weight: 400;\">Reduced complexity and fewer errors<\/span><\/h3>\n<p><span style=\"font-weight: 400;\">Feel tired from building and keeping separate integrations for every tool? Sure, it can drain valuable engineering resources and kill a lot of time. As an MCP serves as a bridge between AI and business systems, it gets rid of the need to connect each tool separately. So this speeds up development, minimizes errors, and simplifies upkeep.\u00a0<\/span><\/p>\n<p><span style=\"font-weight: 400;\">With the Model Context Protocol, your AI ecosystem is more stable. Even if a tool is updated, it can keep working with AI. MCP is also fast and lightweight, helping AI get the information it needs without slowing things down.<\/span><\/p>\n<h3><span style=\"font-weight: 400;\">Reusable integrations across AI platforms\u00a0<\/span><\/h3>\n<p><span style=\"font-weight: 400;\">Yes, it\u2019s absolutely tiresome to create separate connections for every AI tool you use. Luckily, with MCP, you can build an integration once and use it across different AI models and platforms.<\/span><\/p>\n<p><span style=\"font-weight: 400;\">For example, the same Slack integration can work with different AI assistants that support MCP. How does this help you? You save development time, cut costs, and plant seeds for tomorrow when it comes to the adoption of new AI technologies. This answers the question: <\/span><a href=\"https:\/\/www.intellectsoft.net\/blog\/how-does-ai-reduce-costs\/\"><span style=\"font-weight: 400;\">how does AI reduce costs?<\/span><\/a><span style=\"font-weight: 400;\"> It reduces the need to build the same integration multiple times and lets you use it across different AI platforms.<\/span><\/p>\n<h3><span style=\"font-weight: 400;\">Stronger security and more control\u00a0<\/span><\/h3>\n<p><span style=\"font-weight: 400;\">With MCP, all actions go through a single location where they are monitored and logged. So this makes AI safer and easier to control. You don\u2019t need to connect AI to random APIs, as everything is managed through a central system.<\/span><\/p>\n<p><span style=\"font-weight: 400;\">You can set rules for what AI may access, so it can use only approved connections. Your data stays secure and allows AI to operate within defined limits. MCP gives more control and stronger security when using AI.<\/span><\/p>\n<p><span style=\"font-weight: 400;\">Before the emergence of the Model Context Protocol, you needed to wait for weeks to add a new data source and build a custom integration. It was slow, tiresome, and involved engineering work. With MCP, an analyst can connect a new data source and get insights instantly. Plus, they can add data in real time during a meeting and answer questions on the spot.\u00a0<\/span><\/p>\n<h2><span style=\"font-weight: 400;\">How Intellectsoft Helps Enterprises Implement MCP<\/span><\/h2>\n<p><span style=\"font-weight: 400;\">At Intellectsoft, we help businesses connect AI to their enterprise infrastructure using MCP to ensure that they will benefit the most from their AI solutions. Here are a few steps we follow:\u00a0<\/span><b><\/b><\/p>\n<ul>\n<li aria-level=\"1\"><b>Step 1. Assessment of AI use cases and data readiness: <\/b><span style=\"font-weight: 400;\">We analyze your business needs and identify processes where AI can add real value. We also evaluate your data and systems to make sure they are ready for AI integration.\u00a0<\/span><\/li>\n<li aria-level=\"1\"><b>Step 2.<\/b> <b>Rapid Proof of Concept: <\/b><span style=\"font-weight: 400;\">Our team builds a prototype, a simple working version, fast. That\u2019s why you can see how it can work in a real-life setting before making heavy investments.\u00a0<\/span><\/li>\n<li aria-level=\"1\"><b>Step 3. Infrastructure integration and deployment: <\/b><span style=\"font-weight: 400;\">We connect AI to your existing tools and systems using MCP. So everything works securely and without disruption.<\/span><\/li>\n<li aria-level=\"1\"><b>Step 4. Optimization and scaling: <\/b><span style=\"font-weight: 400;\">Once your AI solution is ready, we fine-tune it, increase performance, and scale it across your business.<\/span><\/li>\n<\/ul>\n<h3><span style=\"font-weight: 400;\">Ready to bring MCP into your enterprise?<\/span><a href=\"https:\/\/www.intellectsoft.net\/contacts\"><span style=\"font-weight: 400;\"> Let\u2019s talk <\/span><\/a><span style=\"font-weight: 400;\">and discuss how we can help you design and implement AI that actually works in your business.<\/span><\/h3>\n<p>&nbsp;<\/p>\n<p>&nbsp;<\/p>\n","protected":false},"excerpt":{"rendered":"<p>Key Takeaways\u00a0 MCP helps connect AI to your business systems and data, making it more intelligent, useful, and capable of completing real tasks. Without MCP,&#8230;<\/p>\n","protected":false},"author":91,"featured_media":29499,"comment_status":"closed","ping_status":"closed","sticky":false,"template":"","format":"standard","meta":{"_acf_changed":false,"footnotes":""},"categories":[798,2],"tags":[],"class_list":["post-29486","post","type-post","status-publish","format-standard","has-post-thumbnail","hentry","category-artificial-intelligence","category-business"],"acf":[],"yoast_head":"<!-- This site is optimized with the Yoast SEO plugin v23.8 - https:\/\/yoast.com\/wordpress\/plugins\/seo\/ -->\n<title>Why to Integrate AI to Your System with Model Context Protocol<\/title>\n<meta name=\"description\" content=\"Want to connect AI to your infrastructure? 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