Healthcare MCP Server provides AI assistants with access to medical information through five specialized tools: FDA drug information lookup, PubMed research search, Health.gov topic retrieval, clinical trials search, and ICD-10 code lookup. The implementation features efficient caching to reduce API calls, anonymous usage tracking, and supports both stdio mode for Cline integration and HTTP/SSE mode for web clients. Built with FastMCP and deployed via Docker or Railway, it's particularly valuable for healthcare professionals, researchers, and patients who need to access evidence-based medical information without leaving their AI assistant interface.
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Highlight AISearch for drug information from the FDA database. Parameters: drug_name (string), search_type (string, optional, default: 'general')
Search for medical literature in PubMed. Parameters: query (string), max_results (integer, optional, default: 5), date_range (string, optional)
Access evidence-based health information. Parameters: topic (string), language (string, optional, default: 'en')
Search for ongoing and completed clinical trials. Parameters: condition (string), status (string, optional, default: 'recruiting'), max_results (integer, optional, default: 10)
Look up ICD-10 codes or descriptions. Parameters: code (string, optional), description (string, optional), max_results (integer, optional, default: 10)
Search for pre-print articles on medRxiv. Parameters: query (string), max_results (integer, optional, default: 10)
Calculate Body Mass Index (BMI). Parameters: height_meters (float), weight_kg (float)
Search for biomedical books and documents in the NCBI Bookshelf. Parameters: query (string), max_results (integer, optional, default: 10)
Extract metadata from a DICOM file. Parameters: file_path (string)
