{"passport":{"unfragile":{"@version":"1.0","version":"2026-05","artifact":{"id":"smithery_ferryzhaohui-leiga-mcp-server-test","slug":"ferryzhaohui-leiga-mcp-server-test","name":"leiga-mcp-server-test","type":"mcp","url":"https://github.com/FerryZhaoHui/leiga-mcp-server-test","page_url":"https://unfragile.ai/ferryzhaohui-leiga-mcp-server-test","categories":["mcp-servers","testing-quality"],"tags":["mcp","model-context-protocol","smithery:FerryZhaoHui/leiga-mcp-server-test"],"pricing":{"model":"open_source","free":true,"starting_price":null},"status":"active","verified":false},"capabilities":[{"id":"smithery_ferryzhaohui-leiga-mcp-server-test__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 based on a predefined schema, enabling seamless integration with multiple model providers. It utilizes a modular architecture that supports dynamic loading of provider-specific handlers, allowing for flexible and extensible function execution without hardcoding provider logic. This design choice ensures that developers can easily add or modify integrations without significant code changes.","intents":["How can I call functions from different model providers in a unified way?","I need to integrate multiple AI models into my application without rewriting code.","What is the best way to manage function calls to various APIs in my MCP server?"],"best_for":["developers building applications that require integration with multiple AI model providers"],"limitations":["Requires manual configuration of each provider's schema, which can be error-prone without proper documentation.","Performance may vary based on the number of providers integrated."],"requires":["Node.js 14+","MCP-compliant model providers"],"input_types":["structured data","function calls"],"output_types":["structured data","function results"],"categories":["tool-use-integration","mcp-servers"],"confidence":0.5,"matches":0,"success_rate":0},{"id":"smithery_ferryzhaohui-leiga-mcp-server-test__cap_1","uri":"capability://memory.knowledge.contextual.state.management.for.function.execution","name":"contextual state management for function execution","description":"This capability manages the context for function calls, ensuring that the necessary state is preserved across different executions. It employs a context-aware architecture that captures and stores relevant data during function calls, allowing for stateful interactions that can adapt based on previous inputs. This is particularly useful for applications that require continuity in user interactions or data processing.","intents":["How can I maintain context across multiple function calls?","I need to ensure that my application remembers user inputs during processing.","What is the best way to manage state in a multi-step function execution?"],"best_for":["developers creating interactive applications that require stateful processing"],"limitations":["State management can introduce complexity and potential performance overhead if not managed properly.","Limited to in-memory state management; persistent storage requires additional implementation."],"requires":["Node.js 14+","MCP-compliant model providers"],"input_types":["structured data","contextual information"],"output_types":["structured data","contextual results"],"categories":["memory-knowledge","mcp-servers"],"confidence":0.5,"matches":0,"success_rate":0},{"id":"smithery_ferryzhaohui-leiga-mcp-server-test__cap_2","uri":"capability://tool.use.integration.dynamic.api.orchestration.for.model.interaction","name":"dynamic api orchestration for model interaction","description":"This capability enables the server to orchestrate API calls dynamically based on incoming requests and the defined schema. It uses a routing mechanism that evaluates the request parameters and determines the appropriate model provider and function to call, streamlining the process of interacting with multiple APIs. This orchestration is crucial for applications that need to switch between models based on specific criteria or user inputs.","intents":["How can I efficiently route requests to different AI models based on user input?","I need to switch between multiple APIs dynamically in my application.","What is the best way to manage API calls to various models based on request parameters?"],"best_for":["developers building applications that require flexible API interactions"],"limitations":["Dynamic routing may introduce latency if not optimized for specific use cases.","Requires careful schema design to ensure accurate routing."],"requires":["Node.js 14+","MCP-compliant model providers"],"input_types":["structured data","API requests"],"output_types":["structured data","API responses"],"categories":["tool-use-integration","mcp-servers"],"confidence":0.5,"matches":0,"success_rate":0}],"trust":{"score":27,"verified":false,"data_access_risk":"high","permissions":["Node.js 14+","MCP-compliant model providers"],"failure_modes":["Requires manual configuration of each provider's schema, which can be error-prone without proper documentation.","Performance may vary based on the number of providers integrated.","State management can introduce complexity and potential performance overhead if not managed properly.","Limited to in-memory state management; persistent storage requires additional implementation.","Dynamic routing may introduce latency if not optimized for specific use cases.","Requires careful schema design to ensure accurate routing.","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":"2026-05-24T12:16:26.346Z","last_scraped_at":"2026-05-03T15:19:08.154Z","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=ferryzhaohui-leiga-mcp-server-test","compare_url":"https://unfragile.ai/compare?artifact=ferryzhaohui-leiga-mcp-server-test"}},"signature":"mG/Wu4hVXIqrg53lbhrP5PCBSfBUCZm+Dh+ZjHDdhM3V7pXWqk3Xa0DKpQzNeRyZE3IW9UD7+KO03/RbfyHsBg==","signedAt":"2026-06-20T16:13:31.503Z","signedBy":"unfragile.ai","version":1},"_links":{"self":"https://unfragile.ai/api/v1/passport/ferryzhaohui-leiga-mcp-server-test","artifact":"https://unfragile.ai/ferryzhaohui-leiga-mcp-server-test","verify":"https://unfragile.ai/api/v1/verify?slug=ferryzhaohui-leiga-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"}}