Supply a search query or an article identifier. AI can organize the available bibliographic material around your research question and preserve the sources.
Copy a prompt into your agent with the oo Skill installed. Add your page links and source notes before running it.
Search a Boolean query and inspect selected records for a source-based literature summary.
/oo Embase: Search Embase with CommandLanguage query [query] for [research question]. Inspect article [identifier and identifier type] and summarize findings from the available records with source identifiers.
Set up oo CLI and the oo Skill in your agent.
Install OOMOL →Connect an Elsevier API key with Embase API access.
Connect Embase →Use /oo with the pages to read, the changes to make, and where to save the result.
Connection Guide →Choose Your Agent
Embase provides biomedical literature records through access-controlled Elsevier services. This connection searches those records and retrieves individual articles within your account entitlements.
Search by CommandLanguage query or an encoded alert ID and retrieve articles by a documented identifier.
Search Embase biomedical literature with a CommandLanguage query or an encoded alert identifier.
Leina 
Wanta 
embase.search_articles Get one Embase article record by a documented literature identifier.
embase.get_article No matching tools.
Provide an Embase CommandLanguage Boolean query and the research question you want AI to address.
Yes. Provide the article identifier and its identifier type to retrieve the available Embase record.
No. Summaries should use the content available in the record; full-text access is not part of these operations.
Manage which optional storage OOMOL can use. You can change these choices from the footer at any time.