{"passport":{"unfragile":{"@version":"1.0","version":"2026-05","artifact":{"id":"smithery_documentation-x-number-automation","slug":"documentation-x-number-automation","name":"number-automation","type":"repo","url":"https://github.com/documentation-x/number-automation","page_url":"https://unfragile.ai/documentation-x-number-automation","categories":["testing-quality"],"tags":["mcp","model-context-protocol","smithery:documentation-x/number-automation"],"pricing":{"model":"open_source","free":true,"starting_price":null},"status":"active","verified":false},"capabilities":[{"id":"smithery_documentation-x-number-automation__cap_0","uri":"capability://text.generation.language.personalized.greeting.automation","name":"personalized greeting automation","description":"This capability generates personalized greetings by leveraging a model-context-protocol (MCP) to dynamically insert user names into friendly salutations. It utilizes a simple input-output mapping where user input is parsed to extract names, and then a predefined template is populated with this data, ensuring a conversational tone. The integration with MCP allows for seamless communication between different components, enhancing the user experience by providing quick responses.","intents":["How can I automate greetings for my users based on their names?","What is the best way to implement personalized salutations in my application?","Can I create friendly messages that adapt to user input?"],"best_for":["developers creating user-facing applications with personalized interactions"],"limitations":["Limited to simple greeting formats; complex message structures require additional handling."],"requires":["Node.js 14+","MCP-compatible environment"],"input_types":["text"],"output_types":["text"],"categories":["text-generation-language","user-engagement"],"confidence":0.5,"matches":0,"success_rate":0},{"id":"smithery_documentation-x-number-automation__cap_1","uri":"capability://automation.workflow.setup.testing.with.example.prompts","name":"setup testing with example prompts","description":"This capability allows users to test their setup by providing a series of example prompts that validate the functionality of the automation system. It employs a feedback loop where user responses to prompts are analyzed to ensure the system behaves as expected. This testing feature is crucial for debugging and refining the automation process, ensuring that the greetings are generated correctly and in a timely manner.","intents":["How can I verify that my greeting automation is working correctly?","What prompts can I use to test the functionality of my setup?","Can I get feedback on the responses generated by my automation?"],"best_for":["developers and testers validating automation setups"],"limitations":["Requires manual input for testing; no automated testing framework included."],"requires":["Node.js 14+","MCP-compatible environment"],"input_types":["text"],"output_types":["text","structured data"],"categories":["automation-workflow","testing"],"confidence":0.5,"matches":0,"success_rate":0},{"id":"smithery_documentation-x-number-automation__cap_2","uri":"capability://text.generation.language.origin.story.exploration","name":"origin story exploration","description":"This capability provides users with an interactive exploration of the 'Hello, World' program's origin story, integrating educational content with the greeting automation. It uses a narrative-driven approach to engage users, presenting historical context and significance in a conversational format. The integration with MCP allows for dynamic content delivery based on user queries, making the learning experience more personalized and engaging.","intents":["How can I learn about the history of the 'Hello, World' program?","What educational content can I integrate into my greeting automation?","Can I provide users with interactive stories related to programming?"],"best_for":["educators and developers looking to enhance user engagement with historical context"],"limitations":["Content is limited to predefined narratives; no user-generated content support."],"requires":["Node.js 14+","MCP-compatible environment"],"input_types":["text"],"output_types":["text"],"categories":["text-generation-language","education"],"confidence":0.5,"matches":0,"success_rate":0}],"trust":{"score":25,"verified":false,"data_access_risk":"low","permissions":["Node.js 14+","MCP-compatible environment"],"failure_modes":["Limited to simple greeting formats; complex message structures require additional handling.","Requires manual input for testing; no automated testing framework included.","Content is limited to predefined narratives; no user-generated content support.","builder identity is not verified yet","no observed match outcomes yet"],"rank_breakdown":{"adoption":0.05,"quality":0.31,"ecosystem":0.48999999999999994,"match_graph":0.25,"freshness":0.5,"weights":{"adoption":0.3,"quality":0.2,"ecosystem":0.15,"match_graph":0.3,"freshness":0.05}},"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":"2026-05-03T15:19:46.451Z","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=documentation-x-number-automation","compare_url":"https://unfragile.ai/compare?artifact=documentation-x-number-automation"}},"signature":"A5TM5UNdac06DeMyHPF9UMRSj2IYovLfGtjycxItJ2jNxEO2XjeUbCuPZhIC1HcH3l25D8XokV4FtWZV2GpPCw==","signedAt":"2026-06-22T05:20:45.622Z","signedBy":"unfragile.ai","version":1},"_links":{"self":"https://unfragile.ai/api/v1/passport/documentation-x-number-automation","artifact":"https://unfragile.ai/documentation-x-number-automation","verify":"https://unfragile.ai/api/v1/verify?slug=documentation-x-number-automation","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"}}