Developer builds RSS directory with MCP server to give AI tools real-time field updates

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A developer has built RSS Atlas, a directory of 2,907 RSS feeds spanning 19 languages and 37 categories, to address the gap in AI tools that cannot query recent developments within a specific technical field. The project exposes its data through a Model Context Protocol (MCP) server, making it accessible to AI assistants like Claude. The builder shared four key engineering lessons learned post-launch, covering tool design, authentication handling, user identity scoping, and rate limiting. Notable decisions included collapsing a proposed fifth tool into a parameter to reduce model decision points, and returning HTTP 401 instead of a payload error to properly trigger client authentication flows. A no-authentication demo is publicly available, with the backend running on Cloudflare Workers, Supabase, and Cloud Run Jobs.

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