{"passport":{"unfragile":{"@version":"1.0","version":"2026-05","artifact":{"id":"smithery_chohi22-mcp","slug":"chohi22-mcp","name":"chohi22TEST","type":"mcp","url":"https://github.com/chohi22/mcp","page_url":"https://unfragile.ai/chohi22-mcp","categories":["mcp-servers"],"tags":["mcp","model-context-protocol","smithery:chohi22/mcp"],"pricing":{"model":"open_source","free":true,"starting_price":null},"status":"active","verified":false},"capabilities":[{"id":"smithery_chohi22-mcp__cap_0","uri":"capability://tool.use.integration.multi.provider.api.orchestration","name":"multi-provider api orchestration","description":"This capability allows for seamless integration and orchestration of multiple APIs using the Model Context Protocol (MCP). It employs a schema-based approach to define API interactions, enabling dynamic routing and context management across different service providers. This architecture facilitates efficient communication between various models and applications, ensuring that the right context is maintained throughout the process.","intents":["How can I integrate multiple AI models into my application?","What is the best way to manage API calls to different services?","How do I ensure context is preserved when switching between models?"],"best_for":["developers building applications that require integration of multiple AI services"],"limitations":["Requires careful schema definition to avoid context loss","Limited to services that support MCP"],"requires":["Node.js 14+","MCP-compatible API keys"],"input_types":["structured data","API requests"],"output_types":["structured data","API responses"],"categories":["tool-use-integration","api management"],"confidence":0.5,"matches":0,"success_rate":0},{"id":"smithery_chohi22-mcp__cap_1","uri":"capability://memory.knowledge.context.aware.model.switching","name":"context-aware model switching","description":"This capability enables the system to switch between different AI models based on the context of the user request. It leverages contextual embeddings and a decision-making layer to determine the most appropriate model for a given task, ensuring that the output is relevant and accurate. This is achieved through a combination of context tracking and model performance metrics.","intents":["How can I automatically select the best AI model for different tasks?","What methods can I use to maintain context when switching models?","How do I optimize model performance based on user input?"],"best_for":["teams developing applications that require dynamic model selection based on user context"],"limitations":["Performance may degrade if context tracking is not properly implemented","Requires extensive model performance data for optimal switching"],"requires":["Python 3.8+","MCP-compatible models"],"input_types":["text","user queries"],"output_types":["text","model responses"],"categories":["memory-knowledge","dynamic model management"],"confidence":0.5,"matches":0,"success_rate":0},{"id":"smithery_chohi22-mcp__cap_2","uri":"capability://tool.use.integration.schema.driven.function.calling","name":"schema-driven function calling","description":"This capability allows developers to define and call functions based on a predefined schema, enabling structured interactions with various models and APIs. It uses a metadata-driven approach to ensure that function calls are validated against the schema before execution, reducing errors and improving reliability. This method also supports extensibility for future API integrations.","intents":["How can I ensure my API calls are structured correctly?","What is the best way to validate function calls in my application?","How do I extend my application to support new APIs?"],"best_for":["developers looking to build robust applications with structured API interactions"],"limitations":["Schema definitions can become complex and may require maintenance","Limited to APIs that conform to the defined schema"],"requires":["Node.js 16+","MCP-compatible API keys"],"input_types":["structured data","function definitions"],"output_types":["structured data","function results"],"categories":["tool-use-integration","api management"],"confidence":0.5,"matches":0,"success_rate":0}],"trust":{"score":26,"verified":false,"data_access_risk":"moderate","permissions":["Node.js 14+","MCP-compatible API keys","Python 3.8+","MCP-compatible models","Node.js 16+"],"failure_modes":["Requires careful schema definition to avoid context loss","Limited to services that support MCP","Performance may degrade if context tracking is not properly implemented","Requires extensive model performance data for optimal switching","Schema definitions can become complex and may require maintenance","Limited to APIs that conform to the defined schema","builder identity is not verified yet","no observed match outcomes yet"],"rank_breakdown":{"adoption":0.05,"quality":0.16,"ecosystem":0.48999999999999994,"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":"2026-05-24T12:16:25.636Z","last_scraped_at":"2026-05-03T15:19:06.728Z","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=chohi22-mcp","compare_url":"https://unfragile.ai/compare?artifact=chohi22-mcp"}},"signature":"lp6RzavOqgdY3L4oA8rzf3DUXa16leq/HAr5bM+6n5irHkR9tJ7H/8PwIOpD/MgrwJlGar+I0AT3tKnnuWurBg==","signedAt":"2026-06-21T11:35:17.441Z","signedBy":"unfragile.ai","version":1},"_links":{"self":"https://unfragile.ai/api/v1/passport/chohi22-mcp","artifact":"https://unfragile.ai/chohi22-mcp","verify":"https://unfragile.ai/api/v1/verify?slug=chohi22-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"}}