Current Awareness

The Current Awareness MCP is a tracking system for pharmaceutical industry dynamics and cutting-edge news, covering global medical news search and in-depth news detail mining. It helps the AI assistant semantically search life-sciences and pharmaceutical news and fetch detailed news records by news IDs. Tools included: • news_search: Semantically search news content. • news_fetch: Fetch news details by news IDs.

• When tracking pharmaceutical news, company updates, R&D events, deal news, or regulatory updates. • When the user describes a news topic in natural language and wants relevant news snippets. • When news IDs are available and full news details are needed. • When news sources are needed for industry updates, competitor monitoring, or daily reports. • Not suitable for structured drug pipelines, clinical trial records, or financial report evidence.

• For news_search, provide natural-language query and lang, where lang is CN or EN; optionally provide top_k. • For news_fetch, provide news_ids. • Queries should focus on pharmaceutical entities, events, companies, drugs, diseases, regulatory topics, or deals.

• news_search returns semantically matched news snippets, usually including title or display text, text snippet, document type, URL, and reference. • news_fetch returns news detail records, including news ID, title, content, URL, publication time, and reference information.

• news_search is semantic retrieval and returns relevant snippets; it may not cover every news source. • news_fetch requires explicit news IDs. • News content is time-sensitive; consider publication time when interpreting results. • For structured facts such as highest drug phase or clinical trial status, cross-check with the corresponding structured MCP.