{"passport":{"unfragile":{"@version":"1.0","version":"2026-05","artifact":{"id":"smithery_choudhary-github-learning-mcp","slug":"choudhary-github-learning-mcp","name":"ds-mcp-server","type":"mcp","url":"https://github.com/choudhary-github/learning-mcp","page_url":"https://unfragile.ai/choudhary-github-learning-mcp","categories":["mcp-servers","testing-quality"],"tags":["mcp","model-context-protocol","smithery:choudhary-github/learning-mcp"],"pricing":{"model":"open_source","free":true,"starting_price":null},"status":"active","verified":false},"capabilities":[{"id":"smithery_choudhary-github-learning-mcp__cap_0","uri":"capability://tool.use.integration.instant.message.reflection.for.prompt.testing","name":"instant message reflection for prompt testing","description":"This capability allows users to send a message and receive an immediate reflection of that message, enabling quick testing of prompts. It uses a lightweight server architecture that processes incoming requests and echoes back the response, ensuring that users can validate formatting and round-trip behavior in real-time. The implementation leverages the Model Context Protocol (MCP) for seamless integration with various AI models, making it distinct in its focus on rapid feedback loops.","intents":["How can I quickly test my prompts for formatting errors?","I need to validate the round-trip behavior of my integrations.","Can I debug my chatbot interactions in real-time?"],"best_for":["developers building and testing chatbot integrations"],"limitations":["Limited to echoing messages without processing; does not support complex logic or state management."],"requires":["Node.js 14+","MCP-compatible AI model"],"input_types":["text"],"output_types":["text"],"categories":["tool-use-integration","chatbot-testing"],"confidence":0.5,"matches":0,"success_rate":0},{"id":"smithery_choudhary-github-learning-mcp__cap_1","uri":"capability://data.processing.analysis.format.validation.for.integration.workflows","name":"format validation for integration workflows","description":"This capability enables users to validate the format of their messages and responses within integration workflows. It employs a schema-based approach to ensure that the messages conform to expected formats before they are sent to the AI models. This validation step is crucial for maintaining consistency and reliability in integrations, making it easier to debug issues related to message formatting.","intents":["How can I ensure my messages meet the required format before sending them?","What tools can I use to validate the structure of my API requests?","Can I check for formatting errors in my chatbot's responses?"],"best_for":["developers integrating AI models into applications"],"limitations":["Requires predefined schemas for validation; may not support dynamic or flexible message formats."],"requires":["JSON schema definition for message formats"],"input_types":["text"],"output_types":["boolean","error messages"],"categories":["data-processing-analysis","integration-validation"],"confidence":0.5,"matches":0,"success_rate":0},{"id":"smithery_choudhary-github-learning-mcp__cap_2","uri":"capability://automation.workflow.debugging.support.for.integrations","name":"debugging support for integrations","description":"This capability provides debugging support by allowing users to quickly identify and resolve issues in their integrations. It captures and logs messages exchanged between the client and server, providing insights into the request-response cycle. This logging mechanism is designed to be lightweight and non-intrusive, ensuring that it does not impact the performance of the integration while still offering valuable debugging information.","intents":["How can I debug my chatbot's integration with the AI model?","What tools can I use to log messages for troubleshooting?","Can I get insights into the request-response cycle of my API calls?"],"best_for":["developers troubleshooting AI model integrations"],"limitations":["Logging may introduce slight overhead; not suitable for high-frequency message exchanges."],"requires":["Node.js 14+","MCP-compatible AI model"],"input_types":["text"],"output_types":["log files","debug reports"],"categories":["automation-workflow","debugging-tools"],"confidence":0.5,"matches":0,"success_rate":0}],"trust":{"score":34,"verified":false,"data_access_risk":"high","permissions":["Node.js 14+","MCP-compatible AI model","JSON schema definition for message formats"],"failure_modes":["Limited to echoing messages without processing; does not support complex logic or state management.","Requires predefined schemas for validation; may not support dynamic or flexible message formats.","Logging may introduce slight overhead; not suitable for high-frequency message exchanges.","builder identity is not verified yet","no observed match outcomes yet"],"rank_breakdown":{"adoption":0.05,"quality":0.31,"ecosystem":0.5900000000000001,"match_graph":0.25,"freshness":0.9,"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":"2026-05-24T12:16:25.636Z","last_scraped_at":"2026-05-03T15:19:24.052Z","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=choudhary-github-learning-mcp","compare_url":"https://unfragile.ai/compare?artifact=choudhary-github-learning-mcp"}},"signature":"Zo87UHCtXq6BOoOxGaV+sVgA8vWj5L55wTmxVMV5ro2tjGgtleMHKb18mqJM2twztWJII97ODmKy86bLNi4sAA==","signedAt":"2026-06-16T07:53:36.231Z","signedBy":"unfragile.ai","version":1},"_links":{"self":"https://unfragile.ai/api/v1/passport/choudhary-github-learning-mcp","artifact":"https://unfragile.ai/choudhary-github-learning-mcp","verify":"https://unfragile.ai/api/v1/verify?slug=choudhary-github-learning-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"}}