{"passport":{"unfragile":{"@version":"1.0","version":"2026-05","artifact":{"id":"smithery_xjtlumedia-x23","slug":"xjtlumedia-x23","name":"AI Answer Copier","type":"mcp","url":"https://smithery.ai/servers/XJTLUmedia/x23","page_url":"https://unfragile.ai/xjtlumedia-x23","categories":["mcp-servers","code-editors"],"tags":["mcp","model-context-protocol","smithery:XJTLUmedia/x23"],"pricing":{"model":"open_source","free":true,"starting_price":null},"status":"active","verified":false},"capabilities":[{"id":"smithery_xjtlumedia-x23__cap_0","uri":"capability://tool.use.integration.zero.friction.pipeline.for.educational.content","name":"zero-friction pipeline for educational content","description":"This capability allows AI models to directly export generated content into local educational tools by leveraging the Model Context Protocol (MCP) architecture. It integrates with local export tools, enabling seamless communication between the AI's output and the required file formats for platforms like Quizizz and Kahoot. This eliminates the need for manual formatting, significantly speeding up the content creation process.","intents":["How can I automatically export AI-generated questions to my LMS?","Can I streamline the process of getting AI content into my teaching tools?","I want to reduce the time spent formatting educational content."],"best_for":["educators looking to automate content creation workflows"],"limitations":["Requires specific integration with supported local export tools; may not work with all educational platforms."],"requires":["MCP-enabled IDE","API access to local export tools"],"input_types":["text"],"output_types":["structured data","CSV","JSON","XML"],"categories":["tool-use-integration","educational-technology"],"confidence":0.5,"matches":0,"success_rate":0},{"id":"smithery_xjtlumedia-x23__cap_1","uri":"capability://data.processing.analysis.multi.format.exporting.for.educational.tools","name":"multi-format exporting for educational tools","description":"This capability enables the conversion of AI-generated content into various educational formats such as CSV for Quizizz, JSON for Canvas, and XML for Moodle. It employs a flexible templating system that maps AI output to the specific requirements of each format, ensuring that the content is correctly structured and ready for upload without additional formatting.","intents":["Can I convert AI-generated questions into different formats for various educational platforms?","How do I ensure my content is compatible with multiple LMS systems?","I need to export my AI content in a specific format for my teaching tools."],"best_for":["teachers and content creators using multiple educational platforms"],"limitations":["Limited to predefined formats; custom formats may require additional development."],"requires":["MCP-enabled IDE","knowledge of target format specifications"],"input_types":["text"],"output_types":["CSV","JSON","XML","PDF"],"categories":["data-processing-analysis","educational-technology"],"confidence":0.5,"matches":0,"success_rate":0},{"id":"smithery_xjtlumedia-x23__cap_2","uri":"capability://data.processing.analysis.intelligent.smart.parse.for.question.generation","name":"intelligent smart-parse for question generation","description":"This capability intelligently parses raw AI-generated text to identify and categorize question components such as stems, distractors, and correct answers. It uses natural language processing techniques to analyze the structure of the text, ensuring that the output is not only accurate but also pedagogically sound, ready for direct use in assessments.","intents":["How can I automatically structure AI-generated questions for quizzes?","Can I ensure the quality of AI-generated educational content?","I want to extract question components from raw text efficiently."],"best_for":["educators and instructional designers focusing on quality content"],"limitations":["May struggle with ambiguous or poorly structured input text."],"requires":["MCP-enabled IDE","API access to NLP tools"],"input_types":["text"],"output_types":["structured data"],"categories":["data-processing-analysis","educational-technology"],"confidence":0.5,"matches":0,"success_rate":0},{"id":"smithery_xjtlumedia-x23__cap_3","uri":"capability://data.processing.analysis.first.class.math.and.code.support","name":"first-class math and code support","description":"This capability provides native support for exporting LaTeX equations and indented code snippets, ensuring that complex mathematical and programming content is preserved during the export process. It uses a specialized rendering engine that accurately formats these elements for various educational tools, preventing common issues that arise with plain text exports.","intents":["Can I include math equations in my AI-generated quizzes?","How do I ensure code snippets are correctly formatted for educational content?","I want to export complex content without losing formatting."],"best_for":["STEM educators and developers creating technical assessments"],"limitations":["Limited to LaTeX and specific programming languages; may not support all syntax variations."],"requires":["MCP-enabled IDE","knowledge of LaTeX and programming syntax"],"input_types":["text","code"],"output_types":["structured data","PDF"],"categories":["data-processing-analysis","educational-technology"],"confidence":0.5,"matches":0,"success_rate":0}],"trust":{"score":42,"verified":false,"data_access_risk":"moderate","permissions":["MCP-enabled IDE","API access to local export tools","knowledge of target format specifications","API access to NLP tools","knowledge of LaTeX and programming syntax"],"failure_modes":["Requires specific integration with supported local export tools; may not work with all educational platforms.","Limited to predefined formats; custom formats may require additional development.","May struggle with ambiguous or poorly structured input text.","Limited to LaTeX and specific programming languages; may not support all syntax variations.","builder identity is not verified yet","no observed match outcomes yet"],"rank_breakdown":{"adoption":0.47617888631967015,"quality":0.43,"ecosystem":0.49000000000000005,"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":"2026-05-24T12:16:28.695Z","last_scraped_at":"2026-05-03T15:18:31.929Z","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=xjtlumedia-x23","compare_url":"https://unfragile.ai/compare?artifact=xjtlumedia-x23"}},"signature":"V9n9Dttn03mCIQBp3CdImnqgbO9UgC+uw6VTklxVxr5FvJ1u/uXEw8yNZqftxoBDTqJPrGuSmcsrZDkcSE2HDg==","signedAt":"2026-06-22T08:31:31.599Z","signedBy":"unfragile.ai","version":1},"_links":{"self":"https://unfragile.ai/api/v1/passport/xjtlumedia-x23","artifact":"https://unfragile.ai/xjtlumedia-x23","verify":"https://unfragile.ai/api/v1/verify?slug=xjtlumedia-x23","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"}}