{"passport":{"unfragile":{"@version":"1.0","version":"2026-05","artifact":{"id":"smithery_veriteknik-pluggedin-mcp","slug":"veriteknik-pluggedin-mcp","name":"pluggedin-mcp","type":"mcp","url":"https://github.com/VeriTeknik/pluggedin-mcp","page_url":"https://unfragile.ai/veriteknik-pluggedin-mcp","categories":["mcp-servers","rag-knowledge"],"tags":["mcp","model-context-protocol","smithery:VeriTeknik/pluggedin-mcp"],"pricing":{"model":"open_source","free":true,"starting_price":null},"status":"active","verified":false},"capabilities":[{"id":"smithery_veriteknik-pluggedin-mcp__cap_0","uri":"capability://search.retrieval.unified.document.search.with.attribution.aware.retrieval","name":"unified document search with attribution-aware retrieval","description":"This capability allows users to perform searches across multiple documents while maintaining attribution for the sources of information. It utilizes a centralized indexing system that aggregates content from various sources and employs a metadata tagging mechanism to ensure that the origin of each piece of information is preserved during retrieval. This approach enhances the reliability and trustworthiness of the search results, making it distinct from traditional search systems that may lack source attribution.","intents":["How can I search across all my documents and know where each piece of information comes from?","I need to find specific data in multiple sources without losing track of the original context.","Can I get a comprehensive search result that includes source citations for my research?"],"best_for":["research teams needing to reference multiple documents accurately"],"limitations":["Performance may degrade with an extremely large number of documents due to indexing overhead."],"requires":["Node.js 14+","Access to all relevant document sources"],"input_types":["text query"],"output_types":["structured data with source citations"],"categories":["search-retrieval","document-management"],"confidence":0.5,"matches":0,"success_rate":0},{"id":"smithery_veriteknik-pluggedin-mcp__cap_1","uri":"capability://automation.workflow.multi.workspace.orchestration","name":"multi-workspace orchestration","description":"This capability enables users to manage and orchestrate tasks across multiple workspaces from a single interface. It employs a centralized control mechanism that allows for the seamless integration of various tools and services, facilitating the execution of workflows that span different environments. This orchestration is achieved through a unified API that abstracts the complexities of inter-workspace communication, making it easier for users to coordinate activities across diverse platforms.","intents":["How can I manage tasks across different projects without switching between multiple tools?","I want to automate workflows that involve multiple workspaces and tools.","Can I run processes in different environments from a single dashboard?"],"best_for":["project managers overseeing multiple teams and tools"],"limitations":["Complex workflows may require additional configuration and setup time."],"requires":["API access to all integrated workspaces","Node.js 14+"],"input_types":["workflow definitions","task commands"],"output_types":["task execution results","status updates"],"categories":["automation-workflow","project-management"],"confidence":0.5,"matches":0,"success_rate":0},{"id":"smithery_veriteknik-pluggedin-mcp__cap_2","uri":"capability://memory.knowledge.long.lived.workspace.memory.management","name":"long-lived workspace memory management","description":"This capability provides a mechanism for maintaining persistent memory across user sessions and workspaces. It uses a structured storage approach that captures user interactions and context over time, allowing the system to recall previous states and information. This long-term memory is designed to enhance user experience by providing contextually relevant suggestions and insights based on historical data, setting it apart from ephemeral memory systems that lose context after each session.","intents":["How can I ensure that my workspace remembers previous interactions for future reference?","I want to retrieve past project details without having to re-enter everything.","Can I have a system that learns from my previous work and provides relevant suggestions?"],"best_for":["teams working on long-term projects requiring context retention"],"limitations":["Memory size may be limited based on storage configurations."],"requires":["Database setup for memory storage","Node.js 14+"],"input_types":["user interactions","contextual data"],"output_types":["retrieved memory data","contextual suggestions"],"categories":["memory-knowledge","user-experience"],"confidence":0.5,"matches":0,"success_rate":0},{"id":"smithery_veriteknik-pluggedin-mcp__cap_3","uri":"capability://tool.use.integration.capability.discovery.and.execution.catalog","name":"capability discovery and execution catalog","description":"This capability allows users to discover and execute various functionalities from a centralized catalog. It employs a dynamic registry that lists available capabilities across integrated tools and services, enabling users to easily find and run the functionalities they need without having to navigate through multiple interfaces. The catalog is designed to be extensible, allowing for the addition of new capabilities as they become available, which enhances the overall usability of the system.","intents":["How can I find and use different functionalities from various tools in one place?","I want to quickly access and execute capabilities without searching through multiple applications.","Can I see all available tools and their functions in a single catalog?"],"best_for":["users managing diverse toolsets looking for efficiency"],"limitations":["Catalog may require regular updates to include new capabilities."],"requires":["Access to integrated tools","Node.js 14+"],"input_types":["search queries","capability requests"],"output_types":["list of available capabilities","execution results"],"categories":["tool-use-integration","user-interface"],"confidence":0.5,"matches":0,"success_rate":0}],"trust":{"score":30,"verified":false,"data_access_risk":"high","permissions":["Node.js 14+","Access to all relevant document sources","API access to all integrated workspaces","Database setup for memory storage","Access to integrated tools"],"failure_modes":["Performance may degrade with an extremely large number of documents due to indexing overhead.","Complex workflows may require additional configuration and setup time.","Memory size may be limited based on storage configurations.","Catalog may require regular updates to include new capabilities.","builder identity is not verified yet","no observed match outcomes yet"],"rank_breakdown":{"adoption":0.05,"quality":0.33,"ecosystem":0.5900000000000001,"match_graph":0.25,"freshness":0.52,"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":"2026-05-24T12:16:28.693Z","last_scraped_at":"2026-05-03T15:19:25.720Z","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=veriteknik-pluggedin-mcp","compare_url":"https://unfragile.ai/compare?artifact=veriteknik-pluggedin-mcp"}},"signature":"qZ5Mk6XKK40604bqk3sGYu7S+TtDIIBP4zBTVWU1FZMUxeVO7Z8zVfgEHNdXIWpN/o1OT2y8w3MSfzMStEsaAw==","signedAt":"2026-06-20T22:49:15.634Z","signedBy":"unfragile.ai","version":1},"_links":{"self":"https://unfragile.ai/api/v1/passport/veriteknik-pluggedin-mcp","artifact":"https://unfragile.ai/veriteknik-pluggedin-mcp","verify":"https://unfragile.ai/api/v1/verify?slug=veriteknik-pluggedin-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"}}