Developer Builds Real-Time AI Price Comparison Tool Using Claude and MCP

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A developer set out to create a simple price comparison tool after finding that popular AI assistants could not provide accurate, real-time product prices. Using Model Context Protocol (MCP), which allows AI models to connect to external tools and APIs, they linked Claude to a product catalog covering electronics markets in the US and Southeast Asia. The MCP server exposed seven tools, enabling Claude to search, compare, and rank live prices across actual storefronts. In a test query, Claude found the cheapest AirPods Pro 2 available in Singapore within roughly eight seconds. The developer cautioned that connecting multiple MCP servers can rapidly inflate token usage, advising builders to keep tool schemas concise and start with fewer integrations.

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