{"id":71875,"date":"2026-06-03T10:00:00","date_gmt":"2026-06-03T08:00:00","guid":{"rendered":"https:\/\/symmy.com\/erpedie\/co-je-mcp-server-2\/"},"modified":"2026-08-18T07:42:31","modified_gmt":"2026-08-18T05:42:31","slug":"co-je-mcp-server","status":"publish","type":"erpedie","link":"https:\/\/symmy.com\/en\/erpedie\/co-je-mcp-server\/","title":{"rendered":"What is an MCP server and what can it do for your business?"},"content":{"rendered":"

Over the past year, MCP has been popping up everywhere AI adoption is discussed. Tech media write about it, the biggest AI players \u2014 Anthropic, OpenAI and Microsoft \u2014 stand behind it, and it is starting to make its way into the world of business systems. And amid all of that stands the question most managing directors and IT admins are asking: what actually is it, and what will it do for us?<\/strong> You will find the answer below \u2014 no technical jargon, with real-world examples from Czech companies.<\/p>\n

What is an MCP server?<\/h2>\n
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An MCP server is an intermediary that gives an AI assistant (Claude, ChatGPT and others) secure access to the data in your business systems \u2014 so you can simply ask questions about your own data in plain language.<\/strong><\/p>\n<\/div>\n

MCP stands for Model Context Protocol<\/em> \u2014 an open standard introduced in late 2024 by Anthropic (the maker of the Claude AI assistant) and since adopted by OpenAI (ChatGPT) and Microsoft. Think of it as a USB port for artificial intelligence: one standardised way to \u201cplug\u201d your accounting, warehouse, CRM or anything else into an AI.<\/p>\n

The problem MCP solves<\/h2>\n

AI assistants are great with text, but they don’t know your company data<\/strong>. Ask ChatGPT \u201cHow much does company ABC owe us?\u201d and it has no way of finding out \u2014 your invoices live in POHODA, Helios or another ERP the AI cannot see into.<\/p>\n

Before MCP, there were two inconvenient workarounds: copying data into the chat by hand (slow and risky), or building a bespoke integration for every system and every assistant separately (expensive). MCP replaces both: one MCP server for your ERP works with every AI assistant that supports the standard<\/strong>.<\/p>\n

How it works in practice<\/h2>\n
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  1. The MCP server connects to your system<\/strong> \u2014 the ERP database, for example \u2014 and offers the AI a set of \u201ctools\u201d: find overdue invoices, check stock levels, list a customer’s orders\u2026<\/em><\/li>\n
  2. The AI assistant calls a tool<\/strong> whenever you ask a question. \u201cWhich customers have overdue invoices above 100 000 K\u010d?\u201d gets translated into an ERP query, and the AI receives real data back.<\/li>\n
  3. You get the answer in the chat<\/strong> \u2014 in plain language, with context, often with a suggested next step (\u201cshall I prepare payment reminders?\u201d).<\/li>\n<\/ol>\n

    Importantly, a well-designed MCP server only grants the AI the permissions you decide on. It typically starts in read-only mode<\/strong> \u2014 the AI can ask questions but cannot change anything. Write actions (issuing an invoice, creating an order) are enabled separately, and every one of them is confirmed by a human.<\/p>\n

    What MCP can do for your business<\/h2>\n