{"passport":{"unfragile":{"@version":"1.0","version":"2026-05","artifact":{"id":"smithery_devbrother2024-mcp-server-test-251209","slug":"devbrother2024-mcp-server-test-251209","name":"mcp-server-test-251209","type":"mcp","url":"https://github.com/devbrother2024/mcp-server-test-251209","page_url":"https://unfragile.ai/devbrother2024-mcp-server-test-251209","categories":["mcp-servers","testing-quality"],"tags":["mcp","model-context-protocol","smithery:devbrother2024/mcp-server-test-251209"],"pricing":{"model":"open_source","free":true,"starting_price":null},"status":"active","verified":false},"capabilities":[{"id":"smithery_devbrother2024-mcp-server-test-251209__cap_0","uri":"capability://tool.use.integration.schema.based.function.calling.with.multi.provider.support","name":"schema-based function calling with multi-provider support","description":"This capability allows the MCP server to handle function calls through a schema-based registry that supports multiple providers. It utilizes a flexible architecture that can dynamically adapt to different API specifications, enabling seamless integration with various models and services. This design choice allows for easy expansion and modification of supported functions without significant code changes, making it distinct in its adaptability.","intents":["How can I integrate multiple AI models into my application using a single protocol?","What is the best way to manage API calls to different AI services?","How do I dynamically add new functions to my MCP server?"],"best_for":["developers building multi-model applications requiring flexible API integration"],"limitations":["Requires manual schema definition for each new provider, which can be time-consuming."],"requires":["Node.js 14+","MCP-compatible models from providers like OpenAI or Anthropic"],"input_types":["structured data","API requests"],"output_types":["structured data","API responses"],"categories":["tool-use-integration","api orchestration"],"confidence":0.5,"matches":0,"success_rate":0},{"id":"smithery_devbrother2024-mcp-server-test-251209__cap_1","uri":"capability://planning.reasoning.contextual.model.switching","name":"contextual model switching","description":"This capability enables the server to switch between different AI models based on the context of the incoming request. It employs a context analysis layer that evaluates the request parameters and dynamically selects the most appropriate model to handle the task, optimizing performance and relevance of responses. This approach is particularly effective in multi-model environments where different models excel at different tasks.","intents":["How can I ensure that the right AI model is used for specific types of queries?","What is the best way to optimize response quality by selecting models based on context?","How do I implement a system that intelligently routes requests to different AI services?"],"best_for":["teams developing applications that require diverse AI capabilities"],"limitations":["Context analysis may introduce latency in decision-making for model selection."],"requires":["Node.js 14+","Pre-configured models with defined capabilities"],"input_types":["text","structured data"],"output_types":["text","structured data"],"categories":["planning-reasoning","model management"],"confidence":0.5,"matches":0,"success_rate":0},{"id":"smithery_devbrother2024-mcp-server-test-251209__cap_2","uri":"capability://data.processing.analysis.dynamic.response.formatting","name":"dynamic response formatting","description":"This capability allows the server to format responses dynamically based on user-defined templates or schemas. It leverages a templating engine that interprets response data and applies the appropriate format before sending it back to the client. This flexibility ensures that responses are not only accurate but also presented in a way that meets specific user requirements, enhancing usability.","intents":["How can I customize the output format of my API responses?","What is the best way to ensure that responses are user-friendly and structured?","How do I implement dynamic formatting for different types of data?"],"best_for":["developers creating user-facing applications that require tailored outputs"],"limitations":["Complex templates may increase processing time for response generation."],"requires":["Node.js 14+","Defined response templates"],"input_types":["structured data"],"output_types":["formatted text","structured data"],"categories":["data-processing-analysis","response management"],"confidence":0.5,"matches":0,"success_rate":0}],"trust":{"score":27,"verified":false,"data_access_risk":"moderate","permissions":["Node.js 14+","MCP-compatible models from providers like OpenAI or Anthropic","Pre-configured models with defined capabilities","Defined response templates"],"failure_modes":["Requires manual schema definition for each new provider, which can be time-consuming.","Context analysis may introduce latency in decision-making for model selection.","Complex templates may increase processing time for response generation.","builder identity is not verified yet","no observed match outcomes yet"],"rank_breakdown":{"adoption":0.05,"quality":0.16,"ecosystem":0.5900000000000001,"match_graph":0.25,"freshness":0.6,"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":"2026-05-24T12:16:26.345Z","last_scraped_at":"2026-05-03T15:19:25.721Z","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=devbrother2024-mcp-server-test-251209","compare_url":"https://unfragile.ai/compare?artifact=devbrother2024-mcp-server-test-251209"}},"signature":"gYUyUMPiK8SoeXUACexv9ZMxwcFOHZpLpGCg3oLFxACqIuiLBZV0HHkry5WxckzRX11D74+fcuNQQW1QU7TvAw==","signedAt":"2026-06-21T00:15:18.373Z","signedBy":"unfragile.ai","version":1},"_links":{"self":"https://unfragile.ai/api/v1/passport/devbrother2024-mcp-server-test-251209","artifact":"https://unfragile.ai/devbrother2024-mcp-server-test-251209","verify":"https://unfragile.ai/api/v1/verify?slug=devbrother2024-mcp-server-test-251209","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"}}