The smry MCP server enables agents to read public sources such as articles, PDFs, and YouTube videos, converting them into clean text with stable paragraph citations. It also provides authenticated access to manage a user's private library, including notes, highlights, feeds, files, and page monitors, supporting tasks like summarization, fact extraction, and content monitoring.
- Operator: smry
- Endpoint: https://api.smry.ai/mcp
- Transport: streamable-http
- Sign-in: No sign-in
- Category: Productivity and knowledge
- Use cases: Read and summarize public articles or PDFs; Extract facts and quotes with stable paragraph citations; Manage private library, notes, and highlights; Monitor specific web pages for changes
- Tools: get_article, search_article, search_web, open_web_pages, search_feeds, list_library_objects, get_library_object, get_library_asset, list_library, get_library_changes, get_saved_article, search_saved_item, save_content, save_article, update_library_item, bulk_update_library_items, remove_library_item, manage_collections, query_feeds, manage_feed_filter, discover_feed_inputs, follow_feeds, create_news_query, set_feed_feedback, get_feed_changes, mutate_feeds, create_monitor, manage_feed_consumers
- Documentation: https://r.smry.ai/
- Directory listing: https://koskamo.com/explore/smry-mcp
- Also known as: smry MCP MCP; smry-mcp