{"passport":{"unfragile":{"@version":"1.0","version":"2026-05","artifact":{"id":"smithery_davidkooi-agentic-news","slug":"davidkooi-agentic-news","name":"Agentic News","type":"mcp","url":"https://agentic-news.ai/mcp","page_url":"https://unfragile.ai/davidkooi-agentic-news","categories":["mcp-servers"],"tags":["mcp","model-context-protocol","news","smithery:davidkooi/agentic-news"],"pricing":{"model":"open_source","free":true,"starting_price":null},"status":"active","verified":false},"capabilities":[{"id":"smithery_davidkooi-agentic-news__cap_0","uri":"capability://tool.use.integration.24.7.topic.monitoring.with.ai.agents","name":"24/7 topic monitoring with ai agents","description":"This capability allows users to create AI agents that continuously monitor specified topics across thousands of news sources. It utilizes a model-context-protocol (MCP) to integrate various data streams, ensuring real-time updates and deduplication of information. The architecture supports dynamic topic tracking, enabling users to refine their agents based on feedback and changing interests.","intents":["I want to set up an AI agent to track the latest developments in renewable energy.","How can I create a personalized news feed that updates me on my chosen topics continuously?","I need an AI tool that monitors multiple news sources for specific keywords 24/7."],"best_for":["journalists and researchers needing constant updates on specific topics"],"limitations":["May miss niche sources if not explicitly included in the monitoring setup","Performance may vary based on the number of topics tracked simultaneously"],"requires":["API access to Agentic News service","Internet connection"],"input_types":["text (topic keywords)","user preferences"],"output_types":["text (news articles)","structured data (briefings)"],"categories":["tool-use-integration","news-monitoring"],"confidence":0.5,"matches":0,"success_rate":0},{"id":"smithery_davidkooi-agentic-news__cap_1","uri":"capability://data.processing.analysis.deduplicated.ai.analyzed.briefings","name":"deduplicated ai-analyzed briefings","description":"This capability generates concise briefings that summarize news articles while removing duplicate content. It leverages natural language processing (NLP) techniques to analyze the sentiment and relevance of articles, ensuring that users receive a clear and focused overview of their topics of interest. The system is designed to provide insights rather than just raw data.","intents":["How can I get a summary of the latest news articles without duplicates?","I need an AI tool that provides concise briefings on specific topics.","Can I receive daily updates that highlight the most relevant news without repetition?"],"best_for":["busy professionals who need quick insights from news"],"limitations":["Summaries may lack depth compared to full articles","Dependent on the quality of source articles for accurate analysis"],"requires":["Active subscription to Agentic News service"],"input_types":["text (topic keywords)","user preferences"],"output_types":["text (summarized briefings)"],"categories":["data-processing-analysis","news-analysis"],"confidence":0.5,"matches":0,"success_rate":0},{"id":"smithery_davidkooi-agentic-news__cap_2","uri":"capability://search.retrieval.semantic.search.across.news.sources","name":"semantic search across news sources","description":"This capability enables users to perform semantic searches across a vast array of news articles, utilizing advanced embedding techniques to understand context and meaning rather than relying solely on keyword matching. The search engine is built on a scalable architecture that allows for fast retrieval of relevant articles based on user queries.","intents":["I want to find articles related to climate change that discuss policy implications.","How can I search for news articles that mention specific events without using exact phrases?","Can I perform a semantic search to discover related topics in the news?"],"best_for":["researchers and analysts looking for in-depth information on complex topics"],"limitations":["Search results may vary based on the quality of the underlying data","Performance may degrade with very broad queries"],"requires":["API access to Agentic News service","Internet connection"],"input_types":["text (search queries)"],"output_types":["text (search results)","structured data (article metadata)"],"categories":["search-retrieval","news-search"],"confidence":0.5,"matches":0,"success_rate":0},{"id":"smithery_davidkooi-agentic-news__cap_3","uri":"capability://data.processing.analysis.custom.analysis.lenses.for.news.insights","name":"custom analysis lenses for news insights","description":"This capability allows users to create custom analysis lenses that apply specific filters and metrics to news articles, enabling tailored insights based on user-defined criteria. It employs a modular architecture that supports various analytical frameworks, allowing users to visualize data trends and patterns effectively.","intents":["How can I create a custom lens to analyze news trends over time?","I want to filter news articles based on sentiment and relevance to my interests.","Can I visualize the impact of certain events on public opinion through news analysis?"],"best_for":["data analysts and strategists looking for tailored insights from news data"],"limitations":["Requires user familiarity with data analysis concepts","Limited to the metrics supported by the platform"],"requires":["API access to Agentic News service","Internet connection"],"input_types":["text (analysis criteria)","user preferences"],"output_types":["visualizations (charts, graphs)","text (analysis reports)"],"categories":["data-processing-analysis","custom-analytics"],"confidence":0.5,"matches":0,"success_rate":0},{"id":"smithery_davidkooi-agentic-news__cap_4","uri":"capability://planning.reasoning.feedback.driven.refinement.of.ai.agents","name":"feedback-driven refinement of ai agents","description":"This capability allows users to refine their AI agents based on feedback from the results they produce. It employs a feedback loop mechanism where user interactions and preferences are analyzed to adjust the agent's monitoring parameters and improve relevance over time. This iterative approach enhances the accuracy and effectiveness of the agents.","intents":["How can I improve the accuracy of my news monitoring agent?","I want to provide feedback on the articles my agent is tracking to refine its performance.","Can I adjust my AI agent's focus based on the news it delivers?"],"best_for":["users who want to optimize their AI agents for better performance"],"limitations":["Refinement process may require time to yield noticeable improvements","Dependent on the quality of user feedback provided"],"requires":["API access to Agentic News service","Internet connection"],"input_types":["text (feedback)","user preferences"],"output_types":["text (refined agent settings)","structured data (performance metrics)"],"categories":["planning-reasoning","agent-optimization"],"confidence":0.5,"matches":0,"success_rate":0}],"trust":{"score":28,"verified":false,"data_access_risk":"moderate","permissions":["API access to Agentic News service","Internet connection","Active subscription to Agentic News service"],"failure_modes":["May miss niche sources if not explicitly included in the monitoring setup","Performance may vary based on the number of topics tracked simultaneously","Summaries may lack depth compared to full articles","Dependent on the quality of source articles for accurate analysis","Search results may vary based on the quality of the underlying data","Performance may degrade with very broad queries","Requires user familiarity with data analysis concepts","Limited to the metrics supported by the platform","Refinement process may require time to yield noticeable improvements","Dependent on the quality of user feedback provided","builder identity is not verified yet","no observed match outcomes yet"],"rank_breakdown":{"adoption":0.05,"quality":0.35,"ecosystem":0.42,"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":"2026-05-24T12:16:26.345Z","last_scraped_at":"2026-05-03T15:19:02.001Z","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=davidkooi-agentic-news","compare_url":"https://unfragile.ai/compare?artifact=davidkooi-agentic-news"}},"signature":"1DeXmRg/7nFeoW4plC1c3SlvT6MwjeEebvM0ZQjDDENwnvmIxoPxpgaC5B4uUeFoar0567VK42SEdm0W2W+/CQ==","signedAt":"2026-06-20T09:37:18.208Z","signedBy":"unfragile.ai","version":1},"_links":{"self":"https://unfragile.ai/api/v1/passport/davidkooi-agentic-news","artifact":"https://unfragile.ai/davidkooi-agentic-news","verify":"https://unfragile.ai/api/v1/verify?slug=davidkooi-agentic-news","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"}}