MCP server for Cortellis drug database search and ontology exploration, enabling AI assistants to query pharmaceutical data through a standardized interface. Developed by Joan Saez-Pons, it provides two main tools: search_drugs for finding medications based on criteria like company, indication, phase, or technology; and explore_ontology for discovering taxonomy terms within the Cortellis database. The implementation authenticates with the Cortellis API using digest authentication and supports both stdio and HTTP transport methods, making it valuable for researchers and pharmaceutical professionals who need to access structured drug development information without leaving their AI assistant conversation.
아직 리뷰가 없습니다. 첫 번째 리뷰를 작성해 보세요!
대화에 참여하려면 로그인하세요
Search for drugs in the Cortellis database with optional parameters such as query, company ID, indication ID, action, phase, and more.
Explore taxonomy terms in the Cortellis database with options to specify a search term, category, action, indication, company, drug name, target, and technology.
Return the entire drug record with all available fields for a given numeric Drug Identifier.
Return SWOT analysis complementing chosen drug record based on the numeric Drug Identifier.
Return financial commentary and data, including actual sales and consensus forecast, for a given numeric Drug Identifier.
Return the entire company record with all available fields for a given numeric Company Identifier.
Search for companies in the Cortellis database with optional filters such as query, company name, headquarters country, and more.
Search for deals in the Cortellis database with optional filters including query, deal title, drug names, indications, and more.
