{"passport":{"unfragile":{"@version":"1.0","version":"2026-05","artifact":{"id":"smithery_soundstear-sdadasads","slug":"soundstear-sdadasads","name":"sdadasads","type":"mcp","url":"https://smithery.ai/servers/soundstear/sdadasads","page_url":"https://unfragile.ai/soundstear-sdadasads","categories":["mcp-servers"],"tags":["mcp","model-context-protocol","smithery:soundstear/sdadasads"],"pricing":{"model":"open_source","free":true,"starting_price":null},"status":"active","verified":false},"capabilities":[{"id":"smithery_soundstear-sdadasads__cap_0","uri":"capability://tool.use.integration.multi.provider.model.context.integration","name":"multi-provider model context integration","description":"This capability allows seamless integration with various model providers using a standardized context protocol. It employs a modular architecture that abstracts the specifics of each model API, enabling users to switch between providers without changing their implementation. This design choice facilitates rapid prototyping and experimentation with different AI models while maintaining a consistent interface.","intents":["How can I easily switch between different AI models for my application?","What is the best way to prototype with multiple AI providers?","Can I integrate various models without rewriting my code?"],"best_for":["developers building applications that require flexibility in AI model selection"],"limitations":["Limited to supported models; adding new providers may require additional configuration"],"requires":["Node.js 14+","API keys for each integrated model provider"],"input_types":["text","structured data"],"output_types":["text","structured data"],"categories":["tool-use-integration","model-integration"],"confidence":0.5,"matches":0,"success_rate":0},{"id":"smithery_soundstear-sdadasads__cap_1","uri":"capability://memory.knowledge.contextual.data.management","name":"contextual data management","description":"This capability manages the context for interactions with AI models by maintaining state across multiple requests. It uses a context stack that retains relevant information from previous interactions, allowing for more coherent and context-aware responses. This design minimizes the need for users to repeatedly provide context, enhancing the user experience.","intents":["How can I maintain context across multiple interactions with the AI?","What is the best way to manage state in my AI-driven application?","Can I ensure my AI responses are coherent over a conversation?"],"best_for":["developers creating conversational agents or interactive applications"],"limitations":["Context stack size is limited; excessive context may lead to performance degradation"],"requires":["Node.js 14+","session management setup"],"input_types":["text","structured data"],"output_types":["text","structured data"],"categories":["memory-knowledge","context-management"],"confidence":0.5,"matches":0,"success_rate":0},{"id":"smithery_soundstear-sdadasads__cap_2","uri":"capability://tool.use.integration.real.time.api.orchestration","name":"real-time api orchestration","description":"This capability orchestrates calls to multiple APIs in real-time, allowing for complex workflows that involve several model interactions. It leverages an event-driven architecture that triggers API calls based on specific events or conditions, enabling responsive and adaptive applications. This approach allows developers to build sophisticated interactions without managing the complexity of asynchronous programming.","intents":["How can I orchestrate multiple API calls in real-time?","What is the best way to build responsive applications that interact with various models?","Can I simplify the complexity of managing asynchronous API calls?"],"best_for":["developers building interactive applications that require real-time data processing"],"limitations":["Event-driven model may introduce latency depending on the number of chained calls"],"requires":["Node.js 14+","knowledge of event-driven programming"],"input_types":["text","structured data"],"output_types":["text","structured data"],"categories":["tool-use-integration","automation-workflow"],"confidence":0.5,"matches":0,"success_rate":0}],"trust":{"score":23,"verified":false,"data_access_risk":"moderate","permissions":["Node.js 14+","API keys for each integrated model provider","session management setup","knowledge of event-driven programming"],"failure_modes":["Limited to supported models; adding new providers may require additional configuration","Context stack size is limited; excessive context may lead to performance degradation","Event-driven model may introduce latency depending on the number of chained calls","builder identity is not verified yet","no observed match outcomes yet"],"rank_breakdown":{"adoption":0.05,"quality":0.16,"ecosystem":0.38999999999999996,"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":"2026-05-24T12:16:28.139Z","last_scraped_at":"2026-05-03T15:19:24.052Z","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=soundstear-sdadasads","compare_url":"https://unfragile.ai/compare?artifact=soundstear-sdadasads"}},"signature":"Q1o1lvtGTP5PPHLZoiCp6lYC2/48imHVpe14GOMy/uDgzTsWzJooQhoMqx4Q59CZrAVnhzLDBnGJr4ob4ArUCQ==","signedAt":"2026-06-21T18:42:37.752Z","signedBy":"unfragile.ai","version":1},"_links":{"self":"https://unfragile.ai/api/v1/passport/soundstear-sdadasads","artifact":"https://unfragile.ai/soundstear-sdadasads","verify":"https://unfragile.ai/api/v1/verify?slug=soundstear-sdadasads","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"}}