{"passport":{"unfragile":{"@version":"1.0","version":"2026-05","artifact":{"id":"smithery_barlanyado-mcp-server-test","slug":"barlanyado-mcp-server-test","name":"mcp-server-test","type":"mcp","url":"https://github.com/barlanyado/mcp-server-test","page_url":"https://unfragile.ai/barlanyado-mcp-server-test","categories":["mcp-servers","testing-quality"],"tags":["mcp","model-context-protocol","smithery:barlanyado/mcp-server-test"],"pricing":{"model":"open_source","free":true,"starting_price":null},"status":"active","verified":false},"capabilities":[{"id":"smithery_barlanyado-mcp-server-test__cap_0","uri":"capability://tool.use.integration.mcp.protocol.integration.for.model.orchestration","name":"mcp protocol integration for model orchestration","description":"This capability enables seamless integration with multiple AI models by implementing the Model Context Protocol (MCP) for standardized communication. It utilizes a modular architecture that allows developers to easily add or swap models while maintaining consistent input and output formats, facilitating flexible experimentation and deployment. The server manages context and state, ensuring that interactions with different models are coherent and contextually aware.","intents":["How can I integrate multiple AI models into my application using a unified protocol?","What is the best way to manage context across different AI models?","How do I ensure consistent input and output when switching between models?"],"best_for":["developers building multi-model AI applications"],"limitations":["Limited to models that support MCP; performance may vary based on model complexity"],"requires":["Node.js 14+","MCP-compatible AI models"],"input_types":["structured data","text"],"output_types":["structured data","text"],"categories":["tool-use-integration","model-integration"],"confidence":0.5,"matches":0,"success_rate":0},{"id":"smithery_barlanyado-mcp-server-test__cap_1","uri":"capability://memory.knowledge.context.aware.request.handling","name":"context-aware request handling","description":"This capability processes incoming requests by maintaining a context state that is updated with each interaction. It employs a context management system that tracks user interactions and model responses, allowing for more relevant and personalized outputs. The server can handle multiple concurrent sessions, ensuring that context is preserved for each user independently.","intents":["How can I maintain user-specific context across multiple interactions?","What approach should I use to ensure personalized responses from AI models?","How do I manage context for concurrent users in my application?"],"best_for":["developers creating interactive AI applications with user sessions"],"limitations":["Context management may introduce latency; requires careful state handling"],"requires":["Node.js 14+","MCP-compatible AI models"],"input_types":["text","structured data"],"output_types":["text","structured data"],"categories":["memory-knowledge","user-experience"],"confidence":0.5,"matches":0,"success_rate":0},{"id":"smithery_barlanyado-mcp-server-test__cap_2","uri":"capability://planning.reasoning.dynamic.model.selection.based.on.context","name":"dynamic model selection based on context","description":"This capability allows the server to dynamically select which AI model to invoke based on the context of the request. It analyzes the input data and previous interactions to determine the most suitable model, optimizing response relevance and accuracy. The implementation leverages decision trees and heuristics to evaluate context and make real-time selections.","intents":["How can I choose the best AI model based on user input?","What methods can I use to optimize model selection dynamically?","How do I ensure that the most relevant model is used for each request?"],"best_for":["developers looking to optimize AI model usage in applications"],"limitations":["Model selection logic may require fine-tuning for specific use cases; potential overhead in decision-making"],"requires":["Node.js 14+","MCP-compatible AI models"],"input_types":["text","structured data"],"output_types":["text","structured data"],"categories":["planning-reasoning","model-selection"],"confidence":0.5,"matches":0,"success_rate":0},{"id":"smithery_barlanyado-mcp-server-test__cap_3","uri":"capability://data.processing.analysis.multi.model.response.aggregation","name":"multi-model response aggregation","description":"This capability aggregates responses from multiple AI models to provide a comprehensive answer to user queries. It collects outputs from different models and employs a ranking system to determine the most relevant response based on predefined criteria. The server can return a single best response or a list of ranked options, enhancing user experience through diverse perspectives.","intents":["How can I combine outputs from different AI models into a single response?","What is the best way to present multiple model outputs to users?","How do I rank and select the best response from various AI models?"],"best_for":["developers building applications that require diverse AI insights"],"limitations":["Aggregation logic may introduce complexity; requires careful tuning for optimal results"],"requires":["Node.js 14+","MCP-compatible AI models"],"input_types":["text","structured data"],"output_types":["text","structured data"],"categories":["data-processing-analysis","response-aggregation"],"confidence":0.5,"matches":0,"success_rate":0},{"id":"smithery_barlanyado-mcp-server-test__cap_4","uri":"capability://memory.knowledge.session.based.state.management","name":"session-based state management","description":"This capability manages state across user sessions, allowing the server to retain information about previous interactions and user preferences. It employs a session store that can persist data across requests, enabling a more coherent user experience. The architecture supports both in-memory and persistent storage options, catering to different application needs.","intents":["How can I maintain state information across user sessions?","What strategies should I use for session data persistence?","How do I ensure a seamless user experience with retained session data?"],"best_for":["developers creating applications with user-specific interactions"],"limitations":["In-memory storage may lead to data loss on server restart; persistent storage requires additional setup"],"requires":["Node.js 14+","MCP-compatible AI models"],"input_types":["text","structured data"],"output_types":["text","structured data"],"categories":["memory-knowledge","state-management"],"confidence":0.5,"matches":0,"success_rate":0}],"trust":{"score":27,"verified":false,"data_access_risk":"moderate","permissions":["Node.js 14+","MCP-compatible AI models"],"failure_modes":["Limited to models that support MCP; performance may vary based on model complexity","Context management may introduce latency; requires careful state handling","Model selection logic may require fine-tuning for specific use cases; potential overhead in decision-making","Aggregation logic may introduce complexity; requires careful tuning for optimal results","In-memory storage may lead to data loss on server restart; persistent storage requires additional setup","builder identity is not verified yet","no observed match outcomes yet"],"rank_breakdown":{"adoption":0.05,"quality":0.2,"ecosystem":0.5900000000000001,"match_graph":0.25,"freshness":0.52,"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":"2026-05-24T12:16:25.636Z","last_scraped_at":"2026-05-03T15:19:39.637Z","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=barlanyado-mcp-server-test","compare_url":"https://unfragile.ai/compare?artifact=barlanyado-mcp-server-test"}},"signature":"QyS1Cc7A8wKaAq6/XkarXGEUL3s7rX+wBvRWWjvdPQMhOh9xAjRGQbbCFqhpV5IbVJBwTXVdqArLXsefTOsdAw==","signedAt":"2026-06-21T16:03:19.278Z","signedBy":"unfragile.ai","version":1},"_links":{"self":"https://unfragile.ai/api/v1/passport/barlanyado-mcp-server-test","artifact":"https://unfragile.ai/barlanyado-mcp-server-test","verify":"https://unfragile.ai/api/v1/verify?slug=barlanyado-mcp-server-test","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"}}