{"passport":{"unfragile":{"@version":"1.0","version":"2026-05","artifact":{"id":"smithery_paracetamol951-caisse-enregistreuse-mcp-server","slug":"paracetamol951-caisse-enregistreuse-mcp-server","name":"caisse-enregistreuse-mcp-server","type":"mcp","url":"https://github.com/paracetamol951/caisse-enregistreuse-mcp-server","page_url":"https://unfragile.ai/paracetamol951-caisse-enregistreuse-mcp-server","categories":["mcp-servers"],"tags":["mcp","model-context-protocol","smithery:paracetamol951/caisse-enregistreuse-mcp-server"],"pricing":{"model":"open_source","free":true,"starting_price":null},"status":"active","verified":false},"capabilities":[{"id":"smithery_paracetamol951-caisse-enregistreuse-mcp-server__cap_0","uri":"capability://tool.use.integration.mcp.protocol.integration.for.multi.provider.support","name":"mcp protocol integration for multi-provider support","description":"This capability allows the server to seamlessly integrate with multiple model providers using the Model Context Protocol (MCP). It employs a modular architecture that abstracts the communication layer, enabling dynamic switching between different LLMs based on user-defined configurations. This design choice enhances flexibility and allows for easy integration of new models without significant rework.","intents":["How can I connect my application to multiple language models easily?","What is the best way to switch between different LLM providers in my project?","Can I configure my server to use different models based on user input?"],"best_for":["developers building applications that require flexible LLM integrations"],"limitations":["Limited to models that support MCP; not all LLMs may be compatible."],"requires":["Node.js 14+","MCP-compatible model API keys"],"input_types":["configuration files","API requests"],"output_types":["structured data","JSON responses"],"categories":["tool-use-integration","mcp-servers"],"confidence":0.5,"matches":0,"success_rate":0},{"id":"smithery_paracetamol951-caisse-enregistreuse-mcp-server__cap_1","uri":"capability://memory.knowledge.contextual.request.handling.with.state.management","name":"contextual request handling with state management","description":"This capability manages user sessions and maintains context across multiple requests, allowing for a coherent interaction flow. It employs a session-based state management system that stores user context and preferences, enabling the server to provide personalized responses based on historical interactions. This approach enhances user experience by reducing the need for repeated context input.","intents":["How can I maintain user context across multiple interactions?","What is the best way to personalize responses based on user history?","Can I implement session management for my application?"],"best_for":["developers creating chatbots or interactive applications"],"limitations":["State persistence requires external storage solutions; no built-in database."],"requires":["Redis or similar state store","Node.js 14+"],"input_types":["user input","session data"],"output_types":["structured data","contextual responses"],"categories":["memory-knowledge","automation-workflow"],"confidence":0.5,"matches":0,"success_rate":0},{"id":"smithery_paracetamol951-caisse-enregistreuse-mcp-server__cap_2","uri":"capability://tool.use.integration.dynamic.api.orchestration.for.model.calls","name":"dynamic api orchestration for model calls","description":"This capability enables the server to orchestrate API calls to various model providers based on user-defined workflows. It uses a rule-based engine to determine the sequence and conditions under which different models are invoked, allowing for complex interactions and decision-making processes. This architecture supports both synchronous and asynchronous calls, enhancing the server's responsiveness.","intents":["How can I create workflows that involve multiple model calls?","What is the best way to manage API calls to different LLMs dynamically?","Can I set conditions for when to call specific models in my application?"],"best_for":["developers building complex applications requiring multi-model interactions"],"limitations":["Increased complexity in workflow management; requires careful configuration."],"requires":["Node.js 14+","API keys for each model provider"],"input_types":["workflow definitions","API requests"],"output_types":["structured data","API responses"],"categories":["tool-use-integration","automation-workflow"],"confidence":0.5,"matches":0,"success_rate":0},{"id":"smithery_paracetamol951-caisse-enregistreuse-mcp-server__cap_3","uri":"capability://data.processing.analysis.real.time.logging.and.monitoring.of.interactions","name":"real-time logging and monitoring of interactions","description":"This capability provides real-time logging of all interactions and API calls made through the server, allowing developers to monitor performance and troubleshoot issues effectively. It employs a centralized logging system that captures detailed metrics and logs, which can be analyzed for insights into user behavior and system performance. This feature is crucial for maintaining operational transparency and improving system reliability.","intents":["How can I monitor the performance of my MCP server?","What is the best way to log interactions for debugging purposes?","Can I get real-time insights into user interactions with my application?"],"best_for":["developers needing to troubleshoot and optimize their applications"],"limitations":["Logging may introduce performance overhead; requires careful management."],"requires":["Node.js 14+","logging framework (e.g., Winston)"],"input_types":["API requests","user interactions"],"output_types":["log files","monitoring dashboards"],"categories":["data-processing-analysis","automation-workflow"],"confidence":0.5,"matches":0,"success_rate":0},{"id":"smithery_paracetamol951-caisse-enregistreuse-mcp-server__cap_4","uri":"capability://data.processing.analysis.customizable.response.formatting","name":"customizable response formatting","description":"This capability allows developers to define custom response formats for the outputs generated by the models. It utilizes a templating system that enables the dynamic generation of responses based on user-defined templates, ensuring that the output meets specific application requirements. This flexibility is particularly useful for applications that need to adhere to strict formatting standards or integrate with other systems.","intents":["How can I customize the output format of my model responses?","What is the best way to ensure my API responses meet specific standards?","Can I define templates for the responses generated by different models?"],"best_for":["developers needing to adhere to specific output formats"],"limitations":["Template complexity may increase development time; requires thorough testing."],"requires":["Node.js 14+","templating library (e.g., Handlebars)"],"input_types":["response templates","API requests"],"output_types":["formatted responses","structured data"],"categories":["data-processing-analysis","tool-use-integration"],"confidence":0.5,"matches":0,"success_rate":0}],"trust":{"score":27,"verified":false,"data_access_risk":"high","permissions":["Node.js 14+","MCP-compatible model API keys","Redis or similar state store","API keys for each model provider","logging framework (e.g., Winston)","templating library (e.g., Handlebars)"],"failure_modes":["Limited to models that support MCP; not all LLMs may be compatible.","State persistence requires external storage solutions; no built-in database.","Increased complexity in workflow management; requires careful configuration.","Logging may introduce performance overhead; requires careful management.","Template complexity may increase development time; requires thorough testing.","builder identity is not verified yet","no observed match outcomes yet"],"rank_breakdown":{"adoption":0.05,"quality":0.2,"ecosystem":0.48999999999999994,"match_graph":0.25,"freshness":0.6,"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":"2026-05-24T12:16:27.443Z","last_scraped_at":"2026-05-03T15:19:49.546Z","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=paracetamol951-caisse-enregistreuse-mcp-server","compare_url":"https://unfragile.ai/compare?artifact=paracetamol951-caisse-enregistreuse-mcp-server"}},"signature":"G5JKNJt6D93ZwfCFDhGODk2A+MaINnkJ9Bax6N1ilbKAc0ild1pALnV0oHLPbopy8Ugc8leDA7m4u0b3KZF0CA==","signedAt":"2026-06-21T23:02:01.846Z","signedBy":"unfragile.ai","version":1},"_links":{"self":"https://unfragile.ai/api/v1/passport/paracetamol951-caisse-enregistreuse-mcp-server","artifact":"https://unfragile.ai/paracetamol951-caisse-enregistreuse-mcp-server","verify":"https://unfragile.ai/api/v1/verify?slug=paracetamol951-caisse-enregistreuse-mcp-server","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"}}