Sparkfeed is an RSS reader for agents and humans. It brings RSS feeds and supported websites without RSS into one workspace, where individuals and teams can organize sources by client, topic, or project, read and save articles, and use Spark AI to help prepare digests and briefs. Shared workspaces keep colleagues working from the same sources, while MCP and a REST API let AI agents access that source context.
Follow sources you choose:
Subscribe to RSS and Atom feeds, discover sources through curated collections, or import existing subscriptions with OPML. Sparkfeed also follows supported websites that do not publish a feed. Source-health indicators show publishing activity, quiet sources, and fetching failures.
Read and organize:
Group sources into folders, search collected articles, and save favorites for later. Agencies and consultancies can organize research around clients, while marketing teams, founders, writers, and researchers can follow their own markets and topics.
Prepare digests with Spark AI:
Ask questions about workspace articles, find relevant material, and request documents, digests, or briefs. Spark AI includes saved chat history and live web search. Digests are created when requested, rather than sent on an automatic schedule.
Work with colleagues and agents:
Invite colleagues into shared workspaces with member roles, or share public feed and folder links. Connect external tools and AI agents through the workspace-scoped REST API and Model Context Protocol, or MCP.
Choose hosted or self-hosted:
Sparkfeed Cloud offers a permanent free plan, paid personal and team plans, and enterprise options. The self-hosted Community Edition is available under AGPL-3.0-only and supports up to 10 registered people. Self-hosting requires your own infrastructure and provider credentials for optional services such as AI.
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