{"passport":{"unfragile":{"@version":"1.0","version":"2026-05","artifact":{"id":"smithery_rhaera-mcp-server","slug":"rhaera-mcp-server","name":"mcp-server","type":"mcp","url":"https://smithery.ai/servers/Rhaera/mcp-server","page_url":"https://unfragile.ai/rhaera-mcp-server","categories":["mcp-servers"],"tags":["mcp","model-context-protocol","smithery:Rhaera/mcp-server"],"pricing":{"model":"open_source","free":true,"starting_price":null},"status":"active","verified":false},"capabilities":[{"id":"smithery_rhaera-mcp-server__cap_0","uri":"capability://tool.use.integration.multi.provider.api.orchestration","name":"multi-provider api orchestration","description":"The mcp-server enables seamless integration with multiple AI model providers through a unified Model Context Protocol (MCP). It employs a plugin architecture that allows developers to define and manage connections to various APIs, facilitating dynamic request routing based on user-defined criteria. This architecture supports extensibility, allowing new providers to be added without significant reconfiguration, making it distinct in its flexibility and adaptability.","intents":["How can I connect my application to multiple AI model providers easily?","What is the best way to manage API calls to different AI services in one place?","How do I dynamically route requests to different models based on specific conditions?"],"best_for":["developers building applications that require integration with various AI models"],"limitations":["Requires manual configuration for each new provider, which may be time-consuming"],"requires":["Node.js 14+","Access to the API keys for each AI model provider"],"input_types":["text","structured data"],"output_types":["structured data","text"],"categories":["tool-use-integration","api management"],"confidence":0.5,"matches":0,"success_rate":0},{"id":"smithery_rhaera-mcp-server__cap_1","uri":"capability://memory.knowledge.contextual.request.handling","name":"contextual request handling","description":"This capability allows the mcp-server to maintain context across multiple interactions with AI models. It uses a session management system that tracks user interactions and retains relevant context, enabling more coherent and contextually aware responses. This is achieved through a combination of in-memory storage and session identifiers, which ensures that each request can leverage past interactions effectively.","intents":["How can I maintain context across multiple API calls to improve response relevance?","What is the best way to handle user sessions in my AI application?","How do I ensure that my AI model remembers previous interactions?"],"best_for":["developers creating conversational agents or applications requiring stateful interactions"],"limitations":["In-memory context storage may lead to data loss on server restart"],"requires":["Node.js 14+","Session management library"],"input_types":["text","structured data"],"output_types":["text","structured data"],"categories":["memory-knowledge","session management"],"confidence":0.5,"matches":0,"success_rate":0},{"id":"smithery_rhaera-mcp-server__cap_2","uri":"capability://planning.reasoning.dynamic.model.selection","name":"dynamic model selection","description":"The mcp-server supports dynamic model selection based on user-defined criteria or input characteristics. This is achieved through a decision-making layer that evaluates incoming requests and selects the most appropriate model to handle the task. The architecture allows for real-time adjustments to model selection criteria, making it adaptable to changing user needs or performance metrics.","intents":["How can I automatically choose the best AI model for different types of requests?","What is the best way to optimize model performance based on input data?","How do I implement a system that selects models based on real-time criteria?"],"best_for":["teams optimizing AI model usage for diverse applications"],"limitations":["Complexity in defining selection criteria may require additional development effort"],"requires":["Node.js 14+","Knowledge of the models' capabilities"],"input_types":["text","structured data"],"output_types":["text","structured data"],"categories":["planning-reasoning","model optimization"],"confidence":0.5,"matches":0,"success_rate":0},{"id":"smithery_rhaera-mcp-server__cap_3","uri":"capability://automation.workflow.real.time.monitoring.and.logging","name":"real-time monitoring and logging","description":"The mcp-server includes built-in capabilities for real-time monitoring and logging of API requests and responses. This is implemented through middleware that captures relevant metrics and logs them to a centralized dashboard, allowing developers to track performance, usage patterns, and potential issues. This capability enhances transparency and aids in debugging and optimization efforts.","intents":["How can I monitor the performance of my API calls in real-time?","What is the best way to log interactions for debugging purposes?","How do I track usage metrics for my AI model integrations?"],"best_for":["developers needing insights into API performance and usage"],"limitations":["Logging may introduce slight latency in request processing"],"requires":["Node.js 14+","Monitoring library or service"],"input_types":["text","structured data"],"output_types":["logs","structured data"],"categories":["automation-workflow","monitoring"],"confidence":0.5,"matches":0,"success_rate":0},{"id":"smithery_rhaera-mcp-server__cap_4","uri":"capability://tool.use.integration.plugin.based.extensibility","name":"plugin-based extensibility","description":"The mcp-server is designed with a plugin-based architecture that allows developers to extend its capabilities easily. This is achieved through a well-defined API for creating and integrating new plugins, enabling customization of the server's functionality without altering the core codebase. This extensibility is particularly beneficial for teams looking to tailor the server to specific use cases or integrate additional features.","intents":["How can I add new features to my mcp-server without modifying the core code?","What is the best way to customize the functionality of my server?","How do I integrate third-party tools into my existing mcp-server setup?"],"best_for":["developers needing to customize or extend server functionality"],"limitations":["Plugin development requires familiarity with the server's architecture"],"requires":["Node.js 14+","Documentation on plugin development"],"input_types":["text","structured data"],"output_types":["text","structured data"],"categories":["tool-use-integration","customization"],"confidence":0.5,"matches":0,"success_rate":0}],"trust":{"score":24,"verified":false,"data_access_risk":"moderate","permissions":["Node.js 14+","Access to the API keys for each AI model provider","Session management library","Knowledge of the models' capabilities","Monitoring library or service","Documentation on plugin development"],"failure_modes":["Requires manual configuration for each new provider, which may be time-consuming","In-memory context storage may lead to data loss on server restart","Complexity in defining selection criteria may require additional development effort","Logging may introduce slight latency in request processing","Plugin development requires familiarity with the server's architecture","builder identity is not verified yet","no observed match outcomes yet"],"rank_breakdown":{"adoption":0.05,"quality":0.2,"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":"2026-05-24T12:16:28.138Z","last_scraped_at":"2026-05-03T15:19:13.222Z","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=rhaera-mcp-server","compare_url":"https://unfragile.ai/compare?artifact=rhaera-mcp-server"}},"signature":"U9vdiHajOhg5ODM/p3VBuMyhRckxWrW0/fbXJRC1i5LlZpmxSTP3WzORC40dluY1AONYJxLOLmGOv3Ci+rB3Cg==","signedAt":"2026-06-22T01:30:00.240Z","signedBy":"unfragile.ai","version":1},"_links":{"self":"https://unfragile.ai/api/v1/passport/rhaera-mcp-server","artifact":"https://unfragile.ai/rhaera-mcp-server","verify":"https://unfragile.ai/api/v1/verify?slug=rhaera-mcp-server","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"}}