{"passport":{"unfragile":{"@version":"1.0","version":"2026-05","artifact":{"id":"smithery_pls-perplexity","slug":"pls-perplexity","name":"perplexity","type":"mcp","url":"https://smithery.ai/servers/Pls/perplexity","page_url":"https://unfragile.ai/pls-perplexity","categories":["mcp-servers"],"tags":["mcp","model-context-protocol","smithery:Pls/perplexity"],"pricing":{"model":"open_source","free":true,"starting_price":null},"status":"active","verified":false},"capabilities":[{"id":"smithery_pls-perplexity__cap_0","uri":"capability://tool.use.integration.schema.based.function.calling.with.multi.provider.support","name":"schema-based function calling with multi-provider support","description":"This capability allows users to define functions using a schema that can be called across multiple providers, such as OpenAI and Anthropic. It utilizes a registry pattern to manage function definitions and their corresponding API endpoints, enabling seamless integration and orchestration of different model contexts. The architecture is designed to support dynamic function invocation based on user input, making it flexible and extensible for various use cases.","intents":["How can I call functions from different AI providers using a single schema?","I want to integrate multiple models into my application easily.","Can I dynamically invoke functions based on user queries?"],"best_for":["developers building applications that require multi-provider AI integrations"],"limitations":["Requires manual configuration of each provider's API settings","Limited to supported providers as defined in the schema"],"requires":["Node.js 16+","API keys for each integrated provider"],"input_types":["text","structured data"],"output_types":["structured data","text"],"categories":["tool-use-integration","api orchestration"],"confidence":0.5,"matches":0,"success_rate":0},{"id":"smithery_pls-perplexity__cap_1","uri":"capability://memory.knowledge.context.aware.query.processing","name":"context-aware query processing","description":"This capability processes user queries by maintaining context across interactions, leveraging a context management system that tracks previous inputs and outputs. It employs a stateful design that allows the server to remember user-specific data and preferences, enhancing the relevance and accuracy of responses. This approach distinguishes it from stateless systems that treat each query independently.","intents":["How can I maintain context across multiple queries in my application?","I need to improve the relevance of responses based on previous interactions.","Can the system remember user preferences for future queries?"],"best_for":["developers creating conversational agents or interactive applications"],"limitations":["Context memory is limited to the current session and does not persist across sessions","Increased complexity in managing state"],"requires":["Node.js 16+","Session management setup"],"input_types":["text"],"output_types":["text"],"categories":["memory-knowledge","context management"],"confidence":0.5,"matches":0,"success_rate":0},{"id":"smithery_pls-perplexity__cap_2","uri":"capability://text.generation.language.dynamic.response.generation.based.on.user.intent","name":"dynamic response generation based on user intent","description":"This capability generates responses dynamically by interpreting user intent through natural language processing techniques. It utilizes a combination of intent recognition and contextual understanding to tailor responses that align with user expectations. The system adapts its output based on the detected intent, ensuring that responses are relevant and contextually appropriate.","intents":["How can I generate responses that are tailored to user intent?","I want to improve the accuracy of my application's replies based on user queries.","Can the system adapt its responses based on user feedback?"],"best_for":["developers building intelligent chatbots or virtual assistants"],"limitations":["Intent recognition may struggle with ambiguous queries","Requires continuous training to improve accuracy"],"requires":["Node.js 16+","NLP model integration"],"input_types":["text"],"output_types":["text"],"categories":["text-generation-language","nlp"],"confidence":0.5,"matches":0,"success_rate":0},{"id":"smithery_pls-perplexity__cap_3","uri":"capability://data.processing.analysis.real.time.analytics.for.user.interactions","name":"real-time analytics for user interactions","description":"This capability provides real-time analytics on user interactions, leveraging event-driven architecture to capture and analyze data as it occurs. It employs streaming data processing techniques to deliver insights into user behavior and system performance, allowing developers to make informed decisions based on live data. This approach is distinct from batch processing systems that analyze data after the fact.","intents":["How can I monitor user interactions in real-time?","I want to analyze user behavior as it happens.","Can I get live feedback on system performance?"],"best_for":["data analysts and developers looking to optimize user experience"],"limitations":["Requires robust infrastructure to handle streaming data","Potential latency in data processing"],"requires":["Node.js 16+","Real-time data processing framework"],"input_types":["event data"],"output_types":["analytics reports","dashboards"],"categories":["data-processing-analysis","real-time analytics"],"confidence":0.5,"matches":0,"success_rate":0},{"id":"smithery_pls-perplexity__cap_4","uri":"capability://automation.workflow.customizable.integration.workflows","name":"customizable integration workflows","description":"This capability enables users to create customizable workflows for integrating various services and APIs, using a visual workflow builder that allows for drag-and-drop functionality. It employs a modular design that allows users to connect different components and define the flow of data between them, making it easy to set up complex integrations without extensive coding. This approach is more user-friendly than traditional coding methods for API integrations.","intents":["How can I create custom workflows for integrating APIs?","I want to visually design my integration processes.","Can I connect multiple services without writing code?"],"best_for":["non-technical users and developers looking for quick integrations"],"limitations":["Limited to predefined components and connectors","Complex workflows may become difficult to manage visually"],"requires":["Node.js 16+","Access to integrated services' APIs"],"input_types":["event data","API calls"],"output_types":["integration logs","data outputs"],"categories":["automation-workflow","visual integration"],"confidence":0.5,"matches":0,"success_rate":0}],"trust":{"score":24,"verified":false,"data_access_risk":"moderate","permissions":["Node.js 16+","API keys for each integrated provider","Session management setup","NLP model integration","Real-time data processing framework","Access to integrated services' APIs"],"failure_modes":["Requires manual configuration of each provider's API settings","Limited to supported providers as defined in the schema","Context memory is limited to the current session and does not persist across sessions","Increased complexity in managing state","Intent recognition may struggle with ambiguous queries","Requires continuous training to improve accuracy","Requires robust infrastructure to handle streaming data","Potential latency in data processing","Limited to predefined components and connectors","Complex workflows may become difficult to manage visually","builder identity is not verified yet","no observed match outcomes yet"],"rank_breakdown":{"adoption":0.05,"quality":0.2,"ecosystem":0.38999999999999996,"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":"2026-05-24T12:16:27.443Z","last_scraped_at":"2026-05-03T15:19:20.349Z","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=pls-perplexity","compare_url":"https://unfragile.ai/compare?artifact=pls-perplexity"}},"signature":"KE1TznBsaiQr9Uezz4Af60fL8FbONT3xJCOgZhOJUlUPmmX1y41G/r1MawKBZ/LeKpWliyeUR2ibdfcHQNNUBw==","signedAt":"2026-06-21T04:56:11.970Z","signedBy":"unfragile.ai","version":1},"_links":{"self":"https://unfragile.ai/api/v1/passport/pls-perplexity","artifact":"https://unfragile.ai/pls-perplexity","verify":"https://unfragile.ai/api/v1/verify?slug=pls-perplexity","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"}}