Exposes RSS subscriptions through a Model Context Protocol (MCP) server for agent-driven access.
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Rss is a lightweight command-line application designed as an agent-first RSS reader, in contrast to traditional UI-first tools. Its primary function is to expose your RSS subscriptions via a Model Context Protocol (MCP) server, enabling your AI assistant or agent to seamlessly interact with your feeds. This allows agents to pull updates, list and filter entries, and manage read/unread states, leveraging features like OPML import, on-demand feed fetching, and persistent data storage in SQLite.
Key Features
010 GitHub stars
02MCP server over stdio for agent interaction
03OPML import with upsert by feed URL for subscription management
04Manual, agent-triggered refresh model for feeds
05SQLite storage for subscriptions, entries, and read state
06JSON responses optimized for tool use by agents
Use Cases
01Allowing AI assistants to programmatically pull updates from subscribed RSS feeds
02Tracking and updating read/unread states of RSS items via an automated agent
03Enabling agents to list, filter, and search through RSS entries
