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AI tool streamlines public tender searches with fresh data and structured queries

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A method using the Model Context Protocol (MCP) allows AI assistants to automate the search for public tenders. The system connects to live data sources, enabling assistants to fetch current notices at the time of a query rather than relying on stale, copied lists. It provides three core tools: one for searching tenders by country, sector, and keywords, and two others for listing valid countries and sectors to ensure accurate queries. This setup helps users, such as small businesses, efficiently find relevant opportunities by asking precise, structured questions. The final decision to bid on any tender remains with the human user.

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