{"passport":{"unfragile":{"@version":"1.0","version":"2026-05","artifact":{"id":"smithery_msathiyakeerthi-google-cloud-healthcare-api-mcp","slug":"msathiyakeerthi-google-cloud-healthcare-api-mcp","name":"Google Cloud Healthcare API Server","type":"mcp","url":"https://cloud.google.com/healthcare-api","page_url":"https://unfragile.ai/msathiyakeerthi-google-cloud-healthcare-api-mcp","categories":["mcp-servers","rag-knowledge"],"tags":["mcp","model-context-protocol","google","smithery:msathiyakeerthi/google-cloud-healthcare-api-mcp"],"pricing":{"model":"open_source","free":true,"starting_price":null},"status":"active","verified":false},"capabilities":[{"id":"smithery_msathiyakeerthi-google-cloud-healthcare-api-mcp__cap_0","uri":"capability://data.processing.analysis.fhir.compliant.data.retrieval","name":"fhir-compliant data retrieval","description":"This capability allows for seamless access to healthcare data by integrating with Google Cloud's FHIR APIs. It uses a secure and authenticated Model Context Protocol (MCP) interface to enable developers to query patient records and clinical data in a standardized format, ensuring compliance with healthcare regulations. The implementation leverages RESTful API principles to facilitate efficient data retrieval and manipulation, making it distinct in its adherence to FHIR standards.","intents":["How can I retrieve patient records using FHIR APIs?","What is the best way to access clinical data securely?","Can I query healthcare data in a standardized format?"],"best_for":["healthcare application developers needing secure data access"],"limitations":["Limited to FHIR-compliant data sources; non-FHIR data requires additional handling"],"requires":["Google Cloud account with Healthcare API enabled"],"input_types":["structured queries","API requests"],"output_types":["structured data","JSON"],"categories":["data-processing-analysis","healthcare-integration"],"confidence":0.5,"matches":0,"success_rate":0},{"id":"smithery_msathiyakeerthi-google-cloud-healthcare-api-mcp__cap_1","uri":"capability://search.retrieval.real.time.clinical.insights.retrieval","name":"real-time clinical insights retrieval","description":"This capability enables healthcare applications to fetch real-time clinical insights by querying integrated public medical research databases. It employs a combination of API orchestration and data transformation techniques to aggregate insights from various sources, presenting them in a unified format. The use of advanced caching mechanisms ensures low-latency access to frequently requested data, enhancing the user experience.","intents":["How can I get real-time clinical insights for my application?","What methods can I use to integrate research data into my healthcare app?","Can I access up-to-date medical research articles through an API?"],"best_for":["developers building applications that require timely clinical information"],"limitations":["Dependent on the availability of external research databases; may face rate limits"],"requires":["Google Cloud account with access to public medical databases"],"input_types":["API queries","search terms"],"output_types":["structured data","JSON"],"categories":["search-retrieval","healthcare-integration"],"confidence":0.5,"matches":0,"success_rate":0},{"id":"smithery_msathiyakeerthi-google-cloud-healthcare-api-mcp__cap_2","uri":"capability://data.processing.analysis.secure.patient.data.management","name":"secure patient data management","description":"This capability provides tools for managing patient data securely within healthcare applications. It employs encryption and access control mechanisms to protect sensitive information while allowing authorized users to perform CRUD operations. The architecture is designed to comply with HIPAA regulations, ensuring that patient privacy is maintained throughout the data lifecycle.","intents":["How can I securely manage patient data in my application?","What are the best practices for handling sensitive healthcare information?","Can I implement access controls for patient records?"],"best_for":["healthcare developers focused on patient data security"],"limitations":["Requires thorough understanding of HIPAA compliance; may add complexity to data handling"],"requires":["Google Cloud account with Healthcare API enabled"],"input_types":["structured data","API requests"],"output_types":["structured data","JSON"],"categories":["data-processing-analysis","security"],"confidence":0.5,"matches":0,"success_rate":0},{"id":"smithery_msathiyakeerthi-google-cloud-healthcare-api-mcp__cap_3","uri":"capability://tool.use.integration.mcp.based.healthcare.application.integration","name":"mcp-based healthcare application integration","description":"This capability allows developers to integrate various healthcare applications using a Model Context Protocol (MCP) framework, enabling seamless communication between disparate systems. It supports function calling and data exchange through a standardized interface, allowing for efficient orchestration of healthcare workflows. The architecture is designed to facilitate interoperability among different healthcare systems, enhancing overall application performance.","intents":["How can I integrate my healthcare app with other systems?","What is the best way to enable communication between healthcare applications?","Can I use MCP to orchestrate healthcare workflows?"],"best_for":["developers building interoperable healthcare solutions"],"limitations":["Requires adherence to MCP standards; may limit flexibility in custom integrations"],"requires":["Google Cloud account with Healthcare API enabled"],"input_types":["API requests","function calls"],"output_types":["structured data","JSON"],"categories":["tool-use-integration","healthcare-integration"],"confidence":0.5,"matches":0,"success_rate":0},{"id":"smithery_msathiyakeerthi-google-cloud-healthcare-api-mcp__cap_4","uri":"capability://data.processing.analysis.clinical.data.analytics","name":"clinical data analytics","description":"This capability provides advanced analytics tools to process and analyze clinical data retrieved through the API. It employs machine learning algorithms and statistical models to derive insights from large datasets, enabling healthcare providers to make data-driven decisions. The implementation includes data visualization tools to present findings in an easily interpretable format, enhancing user engagement.","intents":["How can I analyze clinical data for insights?","What tools are available for visualizing healthcare data?","Can I apply machine learning to my clinical datasets?"],"best_for":["data scientists and analysts in the healthcare sector"],"limitations":["Requires expertise in data analytics and machine learning; may require additional libraries"],"requires":["Google Cloud account with access to analytics tools"],"input_types":["structured data","clinical datasets"],"output_types":["visualizations","reports"],"categories":["data-processing-analysis","analytics"],"confidence":0.5,"matches":0,"success_rate":0}],"trust":{"score":32,"verified":false,"data_access_risk":"moderate","permissions":["Google Cloud account with Healthcare API enabled","Google Cloud account with access to public medical databases","Google Cloud account with access to analytics tools"],"failure_modes":["Limited to FHIR-compliant data sources; non-FHIR data requires additional handling","Dependent on the availability of external research databases; may face rate limits","Requires thorough understanding of HIPAA compliance; may add complexity to data handling","Requires adherence to MCP standards; may limit flexibility in custom integrations","Requires expertise in data analytics and machine learning; may require additional libraries","builder identity is not verified yet","no observed match outcomes yet"],"rank_breakdown":{"adoption":0.05,"quality":0.45,"ecosystem":0.52,"match_graph":0.25,"freshness":0.5,"weights":{"adoption":0.25,"quality":0.25,"ecosystem":0.15,"match_graph":0.23,"freshness":0.12}},"observed_outcomes":{"matches":0,"success_rate":0,"avg_confidence":0,"top_intents":[],"last_matched_at":null},"maintenance":{"status":"active","updated_at":"2026-05-24T12:16:27.442Z","last_scraped_at":"2026-05-03T15:18:45.876Z","last_commit":null},"community":{"stars":null,"forks":null,"weekly_downloads":null,"model_downloads":null,"model_likes":null}},"distribution":{"claim_url":"https://unfragile.ai/submit?claim=msathiyakeerthi-google-cloud-healthcare-api-mcp","compare_url":"https://unfragile.ai/compare?artifact=msathiyakeerthi-google-cloud-healthcare-api-mcp"}},"signature":"DglBIvGzkRIR7XkHghs76aUt5fnZ6l9xyUYPIbSqmzh57B19sup5ZZKfufQsl+Cm+B5Jf4hcSDxRWJYenxjACw==","signedAt":"2026-06-20T16:18:30.971Z","signedBy":"unfragile.ai","version":1},"_links":{"self":"https://unfragile.ai/api/v1/passport/msathiyakeerthi-google-cloud-healthcare-api-mcp","artifact":"https://unfragile.ai/msathiyakeerthi-google-cloud-healthcare-api-mcp","verify":"https://unfragile.ai/api/v1/verify?slug=msathiyakeerthi-google-cloud-healthcare-api-mcp","publicKey":"https://unfragile.ai/api/v1/trust-passport-public-key","spec":"https://unfragile.ai/trust","schema":"https://unfragile.ai/schema.json","docs":"https://unfragile.ai/docs"}}