{"passport":{"unfragile":{"@version":"1.0","version":"2026-05","artifact":{"id":"smithery_akaramanapp-greeting","slug":"akaramanapp-greeting","name":"Greeting","type":"mcp","url":"https://smithery.ai/servers/akaramanapp/greeting","page_url":"https://unfragile.ai/akaramanapp-greeting","categories":["mcp-servers"],"tags":["mcp","model-context-protocol","smithery:akaramanapp/greeting"],"pricing":{"model":"open_source","free":true,"starting_price":null},"status":"active","verified":false},"capabilities":[{"id":"smithery_akaramanapp-greeting__cap_0","uri":"capability://tool.use.integration.mcp.based.personalized.greeting.generation","name":"mcp-based personalized greeting generation","description":"Generates contextually-aware, personalized greetings by exposing greeting logic as MCP tools that Claude and other LLM clients can invoke. The server implements the Model Context Protocol to register greeting generation as a callable resource, allowing LLM applications to dynamically request greetings with custom parameters (user name, context, tone) and receive structured responses that can be embedded directly into application flows without additional API abstraction layers.","intents":["I want to add dynamic, personalized greetings to my LLM-powered application without building custom greeting logic","I need to integrate greeting generation as a native tool that Claude can call during multi-turn conversations","I want to customize greeting tone and format based on user context passed from my application"],"best_for":["LLM application developers using Claude or other MCP-compatible clients","Teams building conversational AI systems that need contextual user engagement","Developers integrating greeting services into agentic workflows via MCP"],"limitations":["Greeting customization depth unknown — likely limited to basic parameters (name, tone) without access to full user profile context","No built-in persistence or logging of generated greetings — stateless per request","MCP protocol overhead adds latency compared to direct function calls; suitable for non-real-time interactions","Greeting quality depends entirely on underlying LLM capabilities if using LLM-based generation"],"requires":["MCP-compatible client (Claude via Claude Desktop, or custom MCP client implementation)","Network connectivity to the Greeting MCP server endpoint","Understanding of MCP tool invocation patterns and response handling"],"input_types":["text (user name, context description)","structured parameters (tone, greeting style, language preference)"],"output_types":["text (personalized greeting string)","structured data (greeting metadata, confidence scores if applicable)"],"categories":["tool-use-integration","text-generation-language"],"confidence":0.5,"matches":0,"success_rate":0},{"id":"smithery_akaramanapp-greeting__cap_1","uri":"capability://text.generation.language.dynamic.greeting.customization.via.context.parameters","name":"dynamic greeting customization via context parameters","description":"Accepts structured input parameters (user name, interaction context, greeting tone/style, language preference) and generates greetings tailored to those specifications. The server likely implements parameter validation and conditional greeting logic that routes requests to different greeting templates or generation strategies based on input combinations, enabling applications to request greetings that match specific user engagement goals without hardcoding greeting strings.","intents":["I want to generate greetings with different tones (formal, casual, friendly) based on the user segment or interaction context","I need to support multi-language greetings without maintaining separate greeting databases","I want to personalize greetings with user-specific data (name, location, preferences) passed at request time"],"best_for":["Multi-tenant SaaS applications requiring localized, context-aware greetings","Conversational AI systems that adapt greeting style based on user profile or interaction history","Developers building user onboarding flows that need dynamic, personalized first-contact messages"],"limitations":["Parameter schema and supported customization options unknown — likely limited to basic dimensions (tone, language, name)","No template inheritance or advanced conditional logic visible — may require separate requests for complex greeting scenarios","Greeting quality depends on parameter coverage; missing context parameters may result in generic greetings","No caching of generated greetings — each unique parameter combination triggers a new generation request"],"requires":["Knowledge of supported parameter names and valid values (tone options, language codes, etc.)","Ability to construct and pass structured parameter objects via MCP tool invocation","User context data available at greeting generation time"],"input_types":["text (user name, context description)","enumerated values (tone: 'formal'|'casual'|'friendly', language: 'en'|'es'|'fr', etc.)","optional metadata (user segment, interaction type)"],"output_types":["text (personalized greeting string)","structured response (greeting text + metadata about tone/language applied)"],"categories":["text-generation-language","tool-use-integration"],"confidence":0.5,"matches":0,"success_rate":0},{"id":"smithery_akaramanapp-greeting__cap_2","uri":"capability://tool.use.integration.mcp.server.lifecycle.management.and.tool.registration","name":"mcp server lifecycle management and tool registration","description":"Implements the Model Context Protocol server specification, including tool schema definition, request routing, and response serialization. The server registers greeting generation as a discoverable MCP tool with a defined schema (input parameters, output format, description), allowing MCP clients to introspect available capabilities and invoke them with type-safe parameter passing. Handles MCP protocol handshake, error responses, and graceful shutdown.","intents":["I want to expose my greeting logic as a discoverable tool that Claude can automatically detect and use","I need to ensure my greeting service integrates cleanly with MCP-compatible applications without custom glue code","I want to provide clear documentation of greeting parameters and response format via MCP schema"],"best_for":["Developers building MCP servers for integration with Claude and other LLM clients","Teams standardizing on MCP for tool-based LLM integrations","Organizations deploying greeting services that need to be discoverable by multiple client applications"],"limitations":["MCP protocol version support unknown — may not support latest MCP spec features or extensions","Server discovery mechanism depends on client configuration — not automatically discoverable without explicit server URL registration","No built-in authentication or rate limiting at the MCP protocol level — security must be implemented separately","Stateless design means no cross-request context or session management"],"requires":["MCP client implementation that supports the server's protocol version","Network accessibility to the server endpoint (HTTP/WebSocket or stdio transport)","Proper MCP server configuration in client (e.g., Claude Desktop config.json)"],"input_types":["MCP tool invocation requests (JSON-RPC format)","structured tool parameters matching registered schema"],"output_types":["MCP tool response (JSON-RPC result or error)","structured greeting data conforming to tool schema"],"categories":["tool-use-integration","automation-workflow"],"confidence":0.5,"matches":0,"success_rate":0},{"id":"smithery_akaramanapp-greeting__cap_3","uri":"capability://text.generation.language.user.engagement.optimization.through.contextual.greeting.timing","name":"user engagement optimization through contextual greeting timing","description":"Enables applications to request greetings at contextually appropriate moments in user interactions (first visit, session start, after inactivity, milestone events) by accepting timing/context metadata as input parameters. The server can generate greetings optimized for specific interaction stages, allowing LLM applications to improve user engagement by delivering personalized messages at moments when users are most receptive, without requiring the application to maintain greeting scheduling logic.","intents":["I want to generate different greetings for first-time users vs returning users without hardcoding separate greeting logic","I need to create re-engagement greetings after user inactivity that reference their previous interactions","I want to celebrate user milestones (account anniversary, achievement unlocked) with contextually relevant greetings"],"best_for":["SaaS applications optimizing user retention through personalized engagement","Conversational AI systems that need to adapt greeting strategy based on user history","Teams A/B testing greeting effectiveness across different user segments and interaction contexts"],"limitations":["Greeting server has no access to user history or session data — context must be passed explicitly by the application","No built-in analytics or engagement tracking — effectiveness of contextual greetings must be measured by the calling application","Timing optimization logic unknown — server may not implement sophisticated timing heuristics beyond basic parameter matching","No persistent user profiles — each greeting request is independent; no learning across interactions"],"requires":["Application-level tracking of user interaction history and context","Ability to determine appropriate greeting context (first visit, returning user, etc.) before invoking the server","User engagement metrics infrastructure to measure greeting effectiveness"],"input_types":["text (user name, previous interaction summary)","enumerated context type (first_visit, returning_user, post_inactivity, milestone_event)","optional metadata (days since last visit, milestone type, user segment)"],"output_types":["text (context-optimized greeting string)","structured response (greeting + suggested follow-up action or engagement hook)"],"categories":["text-generation-language","planning-reasoning"],"confidence":0.5,"matches":0,"success_rate":0},{"id":"smithery_akaramanapp-greeting__cap_4","uri":"capability://text.generation.language.dynamic.greeting.variant.selection","name":"dynamic greeting variant selection","description":"Maintains a registry of greeting variants (different phrasings, tones, lengths) and selects the most appropriate variant based on context parameters, user attributes, or randomization strategies. The system likely supports weighted variant selection (e.g., 70% formal, 30% casual) and may use context signals to determine which variant maximizes engagement or user satisfaction.","intents":["I want to serve different greeting styles (formal, casual, playful) based on user or context","I need to A/B test greeting variants and measure which performs best","I want to randomize greetings to avoid repetition and maintain user interest","I need to select greeting tone based on user segment or interaction history"],"best_for":["Product teams optimizing greeting effectiveness through variant testing","Developers building conversational interfaces with varied personality","Teams implementing personalization engines with greeting-level customization"],"limitations":["Variant selection strategy not documented — unclear if selection is rule-based, ML-driven, or random","No apparent analytics or performance tracking for variant effectiveness","Variant management interface unknown — unclear how to add/update/retire variants","Weighted selection configuration not specified — unclear if weights are configurable per context"],"requires":["MCP server instance with variant registry","Greeting variant definitions (multiple phrasings per greeting type)","Context parameters or selection criteria for variant routing"],"input_types":["structured data (user attributes, context signals, selection strategy)","text (user name, context)"],"output_types":["text (selected greeting variant)"],"categories":["text-generation-language","planning-reasoning"],"confidence":0.5,"matches":0,"success_rate":0}],"trust":{"score":28,"verified":false,"data_access_risk":"moderate","permissions":["MCP-compatible client (Claude via Claude Desktop, or custom MCP client implementation)","Network connectivity to the Greeting MCP server endpoint","Understanding of MCP tool invocation patterns and response handling","Knowledge of supported parameter names and valid values (tone options, language codes, etc.)","Ability to construct and pass structured parameter objects via MCP tool invocation","User context data available at greeting generation time","MCP client implementation that supports the server's protocol version","Network accessibility to the server endpoint (HTTP/WebSocket or stdio transport)","Proper MCP server configuration in client (e.g., Claude Desktop config.json)","Application-level tracking of user interaction history and context"],"failure_modes":["Greeting customization depth unknown — likely limited to basic parameters (name, tone) without access to full user profile context","No built-in persistence or logging of generated greetings — stateless per request","MCP protocol overhead adds latency compared to direct function calls; suitable for non-real-time interactions","Greeting quality depends entirely on underlying LLM capabilities if using LLM-based generation","Parameter schema and supported customization options unknown — likely limited to basic dimensions (tone, language, name)","No template inheritance or advanced conditional logic visible — may require separate requests for complex greeting scenarios","Greeting quality depends on parameter coverage; missing context parameters may result in generic greetings","No caching of generated greetings — each unique parameter combination triggers a new generation request","MCP protocol version support unknown — may not support latest MCP spec features or extensions","Server discovery mechanism depends on client configuration — not automatically discoverable without explicit server URL registration","builder identity is not verified yet","no observed match outcomes yet"],"rank_breakdown":{"adoption":0.05,"quality":0.35,"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":"2026-05-24T12:16:25.635Z","last_scraped_at":"2026-05-03T15:18:42.145Z","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=akaramanapp-greeting","compare_url":"https://unfragile.ai/compare?artifact=akaramanapp-greeting"}},"signature":"042ysVOORbI3AiYRyCyEnYyPh92YIsv84PCtGajSlgg8/M8WvISKWf1w8VgdQDGby8KHeO/DzuvXUF2UPLkKAw==","signedAt":"2026-06-21T01:46:20.819Z","signedBy":"unfragile.ai","version":1},"_links":{"self":"https://unfragile.ai/api/v1/passport/akaramanapp-greeting","artifact":"https://unfragile.ai/akaramanapp-greeting","verify":"https://unfragile.ai/api/v1/verify?slug=akaramanapp-greeting","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"}}