{"passport":{"unfragile":{"@version":"1.0","version":"2026-05","artifact":{"id":"smithery_leecj-deepwiki","slug":"leecj-deepwiki","name":"deepwiki","type":"mcp","url":"https://smithery.ai/servers/leecj/deepwiki","page_url":"https://unfragile.ai/leecj-deepwiki","categories":["mcp-servers"],"tags":["mcp","model-context-protocol","smithery:leecj/deepwiki"],"pricing":{"model":"open_source","free":true,"starting_price":null},"status":"active","verified":false},"capabilities":[{"id":"smithery_leecj-deepwiki__cap_0","uri":"capability://memory.knowledge.contextual.knowledge.retrieval","name":"contextual knowledge retrieval","description":"This capability allows users to retrieve contextually relevant information from a knowledge base by utilizing a model-context-protocol (MCP) architecture. It employs a structured query mechanism to fetch data based on user input, ensuring that responses are tailored to the specific context of the query. The integration with various data sources enhances the richness of the retrieved information, making it distinct from simpler keyword-based search systems.","intents":["How can I retrieve specific information based on user queries?","I need to access contextual data for my application.","What is the best way to integrate a knowledge base with my project?"],"best_for":["developers building applications that require contextual data retrieval"],"limitations":["Performance may degrade with very large datasets due to query complexity","Requires a well-structured knowledge base for optimal results"],"requires":["MCP-compatible knowledge base","Node.js 14+"],"input_types":["text"],"output_types":["structured data"],"categories":["memory-knowledge","data-integration"],"confidence":0.5,"matches":0,"success_rate":0},{"id":"smithery_leecj-deepwiki__cap_1","uri":"capability://data.processing.analysis.multi.source.data.integration","name":"multi-source data integration","description":"This capability enables the aggregation of data from multiple sources into a unified format, utilizing the MCP architecture for seamless integration. It supports various data formats and employs a transformation layer to harmonize data before presenting it to the user. This approach allows for flexible data handling and enhances the overall usability of the integrated data.","intents":["How can I combine data from different APIs into a single response?","What is the best way to integrate multiple data sources for my application?","I need to transform and unify data from various formats."],"best_for":["data engineers working on integration projects"],"limitations":["Complex transformations can introduce latency","Limited support for real-time data streaming"],"requires":["Node.js 14+","Access to multiple data sources"],"input_types":["structured data","API responses"],"output_types":["structured data"],"categories":["data-processing-analysis","integration"],"confidence":0.5,"matches":0,"success_rate":0},{"id":"smithery_leecj-deepwiki__cap_2","uri":"capability://tool.use.integration.dynamic.api.orchestration","name":"dynamic api orchestration","description":"This capability allows users to dynamically orchestrate API calls based on user-defined workflows, leveraging the MCP architecture for efficient function calling. It supports conditional logic and branching, enabling complex workflows to be executed seamlessly. This dynamic approach differentiates it from static API integration methods, providing greater flexibility in application design.","intents":["How can I create dynamic workflows that call multiple APIs?","What is the best way to manage API calls based on user input?","I need to implement conditional logic in my API workflows."],"best_for":["developers building applications with complex API interactions"],"limitations":["Increased complexity can lead to harder debugging","Requires careful management of API rate limits"],"requires":["Node.js 14+","API keys for the services being orchestrated"],"input_types":["text","structured data"],"output_types":["structured data"],"categories":["tool-use-integration","workflow-automation"],"confidence":0.5,"matches":0,"success_rate":0},{"id":"smithery_leecj-deepwiki__cap_3","uri":"capability://planning.reasoning.context.aware.task.management","name":"context-aware task management","description":"This capability facilitates context-aware task management by integrating user input with a task management system via the MCP architecture. It allows for the creation, updating, and tracking of tasks based on contextual information, ensuring that task management is relevant to the current user scenario. This integration enhances productivity by aligning tasks with user needs.","intents":["How can I manage tasks based on current user context?","What is the best way to integrate task management with my application?","I need to track tasks dynamically as user input changes."],"best_for":["project managers and developers looking to enhance task management"],"limitations":["Requires a well-defined task structure for optimal performance","May not support all task management tools natively"],"requires":["Node.js 14+","Access to a task management API"],"input_types":["text"],"output_types":["structured data"],"categories":["planning-reasoning","task-management"],"confidence":0.5,"matches":0,"success_rate":0}],"trust":{"score":23,"verified":false,"data_access_risk":"moderate","permissions":["MCP-compatible knowledge base","Node.js 14+","Access to multiple data sources","API keys for the services being orchestrated","Access to a task management API"],"failure_modes":["Performance may degrade with very large datasets due to query complexity","Requires a well-structured knowledge base for optimal results","Complex transformations can introduce latency","Limited support for real-time data streaming","Increased complexity can lead to harder debugging","Requires careful management of API rate limits","Requires a well-defined task structure for optimal performance","May not support all task management tools natively","builder identity is not verified yet","no observed match outcomes yet"],"rank_breakdown":{"adoption":0.05,"quality":0.18,"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":"2026-05-24T12:16:26.915Z","last_scraped_at":"2026-05-03T15:19:27.558Z","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=leecj-deepwiki","compare_url":"https://unfragile.ai/compare?artifact=leecj-deepwiki"}},"signature":"8POoWhEjWxNtioKNAKVLpSuzXSbwS3ngxaJrTqs5TQajy9q/xYs9PGBt8LlIVpv5t2EO5yTSsrAvn+QQtzm5AQ==","signedAt":"2026-06-20T21:18:50.347Z","signedBy":"unfragile.ai","version":1},"_links":{"self":"https://unfragile.ai/api/v1/passport/leecj-deepwiki","artifact":"https://unfragile.ai/leecj-deepwiki","verify":"https://unfragile.ai/api/v1/verify?slug=leecj-deepwiki","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"}}