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Rivul is a free, read-only remote MCP server for searching scholarly literature. It runs semantic search over more than 300 million paper records from a dated OpenAlex snapshot, so an agent can find papers by meaning rather than exact keywords, then open the full record for any result. Tools: - search_papers: semantic search with optional filters for publication year range, minimum citation count, open access only, topic and field. Sort by relevance, most cited, newest or oldest. - get_paper_details: the full record for one work by its OpenAlex ID: title, every author, venue, work type, topic, field, publication date, citation count, DOI and open-access links. - usage_status: the workspace's MCP usage for the current day. Results come only from the index, never from a model. Each result carries a stable OpenAlex ID so the source can be checked, and every response states the snapshot date. Useful for literature reviews, scoping reviews, finding highly cited or open-access papers on a topic, citation chasing, and checking that a cited paper exists. Free for every account, with no plans or payment. Sign in with Google through OAuth 2.1 (PKCE, dynamic client registration), or use an MCP key from rivul.ai. Endpoint: https://rivul.ai/mcp (Streamable HTTP). Setup and docs: https://rivul.ai/features/atlas
Search animals in eight languages with habitats, countries, photos and source credits.
Turn text, files, URLs, or photos into Anki flashcard decks from your AI assistant.
Check work from photos: read results, write checks in plain words, send photos for a verdict.