RSSdeck is an agent-facing data service designed to provide AI agents with efficient, structured access to RSS content. It acts as an MCP server, converting raw RSS feeds into a token-optimized format by providing concise 3-bullet summaries, deduplicating content, scoring relevance based on user interests, and performing sentiment analysis. This allows AI agents to consume RSS data without the overhead of processing full articles, integrating seamlessly with platforms like OpenClaw for use cases such as powering personal AI assistants, automating content pipelines, and monitoring specific topics.
Características Principales
01TL;DR Summaries (3-bullet)
02Deduplication of stories across feeds
03Relevance Scoring based on user interests
04Sentiment Analysis (bullish/bearish/neutral)
05Token-efficient API responses
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