{"passport":{"unfragile":{"@version":"1.0","version":"2026-05","artifact":{"id":"smithery_daniil-shumko-cloudflare-dns-mcp","slug":"daniil-shumko-cloudflare-dns-mcp","name":"cloudflare-dns-mcp","type":"mcp","url":"https://github.com/daniil-shumko/cloudflare-dns-mcp","page_url":"https://unfragile.ai/daniil-shumko-cloudflare-dns-mcp","categories":["mcp-servers"],"tags":["mcp","model-context-protocol","smithery:daniil-shumko/cloudflare-dns-mcp"],"pricing":{"model":"open_source","free":true,"starting_price":null},"status":"active","verified":false},"capabilities":[{"id":"smithery_daniil-shumko-cloudflare-dns-mcp__cap_0","uri":"capability://tool.use.integration.mcp.based.dns.query.handling","name":"mcp-based dns query handling","description":"This capability allows the cloudflare-dns-mcp to process DNS queries using the Model Context Protocol (MCP), which enables seamless integration with various AI models. It leverages a structured request-response pattern to ensure that DNS queries are handled efficiently, allowing for dynamic context management and model switching based on the query type. This architecture distinguishes it from traditional DNS servers by enabling AI-driven responses based on contextual understanding.","intents":["How can I integrate AI models to handle DNS queries dynamically?","What is the best way to manage DNS requests with context-aware responses?","Can I use multiple AI models to respond to different types of DNS queries?"],"best_for":["developers building AI-driven DNS solutions","teams looking to enhance DNS functionality with AI"],"limitations":["Requires a stable internet connection for model access, potential latency in response times due to model switching"],"requires":["Node.js 14+","Access to AI models compatible with MCP"],"input_types":["DNS queries in text format"],"output_types":["DNS responses in structured data format"],"categories":["tool-use-integration","networking"],"confidence":0.5,"matches":0,"success_rate":0},{"id":"smithery_daniil-shumko-cloudflare-dns-mcp__cap_1","uri":"capability://planning.reasoning.dynamic.model.switching.for.dns.responses","name":"dynamic model switching for dns responses","description":"This capability allows the server to switch between different AI models based on the type of DNS query received. It uses a decision-making layer that analyzes the incoming query and selects the most appropriate model to generate the response. This dynamic approach ensures that users receive the most relevant and accurate DNS information tailored to their specific needs.","intents":["How can I ensure my DNS responses are tailored to different query types?","What methods are available for switching between AI models in a DNS context?","Can I optimize DNS responses based on user intent?"],"best_for":["teams developing advanced DNS solutions","developers seeking to enhance DNS functionality with AI"],"limitations":["Model switching may introduce slight delays in response times","Requires careful management of model performance to ensure reliability"],"requires":["Node.js 14+","Access to multiple AI models compatible with MCP"],"input_types":["DNS queries in text format"],"output_types":["DNS responses in structured data format"],"categories":["planning-reasoning","networking"],"confidence":0.5,"matches":0,"success_rate":0},{"id":"smithery_daniil-shumko-cloudflare-dns-mcp__cap_2","uri":"capability://data.processing.analysis.contextual.logging.of.dns.queries","name":"contextual logging of dns queries","description":"This capability enables the logging of DNS queries along with contextual information about the models used for responses. It employs a structured logging mechanism that captures not only the query and response but also the model context, allowing for detailed analysis and debugging. This feature is essential for understanding model performance and improving future responses.","intents":["How can I track the performance of different AI models in handling DNS queries?","What logging mechanisms are available for analyzing DNS query responses?","Can I improve my models based on historical DNS query data?"],"best_for":["data analysts monitoring AI model performance","developers looking to enhance model training with real-world data"],"limitations":["Logging may consume additional storage resources","Requires careful management of log data to avoid excessive growth"],"requires":["Node.js 14+","Access to a logging framework or database"],"input_types":["DNS queries in text format"],"output_types":["structured log entries"],"categories":["data-processing-analysis","networking"],"confidence":0.5,"matches":0,"success_rate":0},{"id":"smithery_daniil-shumko-cloudflare-dns-mcp__cap_3","uri":"capability://tool.use.integration.integration.with.external.ai.models","name":"integration with external ai models","description":"This capability allows the cloudflare-dns-mcp to integrate with various external AI models via the Model Context Protocol. It supports a range of AI services, enabling users to leverage different models for DNS query processing. This integration is facilitated through standardized APIs that ensure compatibility and ease of use, making it simple to incorporate new models as they become available.","intents":["How can I connect my DNS server to external AI models?","What is the process for integrating new AI models into my DNS solution?","Can I use multiple AI services for enhanced DNS responses?"],"best_for":["developers seeking to enhance DNS capabilities with external AI","teams looking to leverage diverse AI models"],"limitations":["Integration complexity may vary based on the AI model","Requires ongoing management of API connections"],"requires":["Node.js 14+","API keys for external AI services"],"input_types":["DNS queries in text format"],"output_types":["DNS responses in structured data format"],"categories":["tool-use-integration","networking"],"confidence":0.5,"matches":0,"success_rate":0},{"id":"smithery_daniil-shumko-cloudflare-dns-mcp__cap_4","uri":"capability://data.processing.analysis.real.time.performance.monitoring.of.dns.queries","name":"real-time performance monitoring of dns queries","description":"This capability provides real-time monitoring of DNS query performance, allowing users to track response times and model efficiency. It employs a monitoring dashboard that visualizes key metrics, enabling quick identification of performance bottlenecks and optimization opportunities. This feature is crucial for maintaining high availability and responsiveness in AI-driven DNS solutions.","intents":["How can I monitor the performance of my DNS queries in real-time?","What metrics should I track to ensure optimal DNS response times?","Can I visualize the performance of different AI models handling DNS queries?"],"best_for":["operations teams managing DNS infrastructure","developers focused on performance optimization"],"limitations":["Real-time monitoring may introduce additional resource overhead","Requires a stable infrastructure for accurate performance tracking"],"requires":["Node.js 14+","Access to a monitoring tool or dashboard"],"input_types":["DNS queries in text format"],"output_types":["performance metrics in structured data format"],"categories":["data-processing-analysis","networking"],"confidence":0.5,"matches":0,"success_rate":0}],"trust":{"score":27,"verified":false,"data_access_risk":"high","permissions":["Node.js 14+","Access to AI models compatible with MCP","Access to multiple AI models compatible with MCP","Access to a logging framework or database","API keys for external AI services","Access to a monitoring tool or dashboard"],"failure_modes":["Requires a stable internet connection for model access, potential latency in response times due to model switching","Model switching may introduce slight delays in response times","Requires careful management of model performance to ensure reliability","Logging may consume additional storage resources","Requires careful management of log data to avoid excessive growth","Integration complexity may vary based on the AI model","Requires ongoing management of API connections","Real-time monitoring may introduce additional resource overhead","Requires a stable infrastructure for accurate performance tracking","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":"2026-05-24T12:16:26.345Z","last_scraped_at":"2026-05-03T15:19:13.221Z","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=daniil-shumko-cloudflare-dns-mcp","compare_url":"https://unfragile.ai/compare?artifact=daniil-shumko-cloudflare-dns-mcp"}},"signature":"4h+TYsU8q73AslAL2pIfV2faz013n6H5fYVmjMc5alc/opR4RgDg2nY35O6UDUNruqIMHkZEqSgg33eyOz9IBA==","signedAt":"2026-06-23T06:45:17.474Z","signedBy":"unfragile.ai","version":1},"_links":{"self":"https://unfragile.ai/api/v1/passport/daniil-shumko-cloudflare-dns-mcp","artifact":"https://unfragile.ai/daniil-shumko-cloudflare-dns-mcp","verify":"https://unfragile.ai/api/v1/verify?slug=daniil-shumko-cloudflare-dns-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"}}