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Ask for information about current events or prices in Claude or ChatGPT and a web search will quickly return something. For example, today’s EUR/USD rate. You will see a finance panel, a handful of market-data sites, perhaps an article explaining why the euro moved this morning. That is useful when you are exploring. But what if you use that number every week in a memo, a portfolio update, or a board deck? Now you need one source, a date, and a result you can trace without opening five tabs. That is why I built a small MCP server that gives Claude a direct line to the European Central Bank’s reference rates. MCP stands for Model Context Protocol. The simple version: it is a way to give an AI a tool. In this case, Claude can ask the ECB directly for the latest EUR/USD rate, a rate on a particular date, or every business-day rate across a range. Search helps you find information. An MCP gives the AI a repeatable way to retrieve information from a source you chose. The difference shows up in the details. With search, you still have to decide which source is credible, whether the number is current, and how to move it into the work you are doing. With this MCP, Claude returns the rate with the source and date attached. I also tested a Sunday, when the ECB does not publish a fresh rate. The tool returned Friday’s rate and explained why. That explanation matters. The number alone is only part of the job. The setup was less intimidating than it sounds:
Mine took one session with Claude Code. No API key. No subscription. The Python on my Mac was too old for the official MCP library, so Claude built it with nothing extra to install. The broader idea is simple. Any public data source you keep searching for can become a tool your AI uses on purpose. What is the number your team keeps looking up, copying, and pasting into a chat? That is a good place to start. Alex |
As an AI Coach, Advisor, and Agent Builder, I help organizations and business leaders harness the power of artificial intelligence to boost productivity and streamline operations. I enable organizations to navigate the transformative landscape of AI, educating teams, identifying operational and strategic opportunities with AI and creating a framework for safe and transparent use of data in the organization.
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