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Tools are registered with the server and exposed through MCP's tool listing mechanism, supporting typed arguments, descriptions, and optional parameters. 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Resources are identified by URIs and can serve various content types (text, JSON, binary). Clients can list available resources and request specific content, enabling knowledge base integration and context injection into LLM conversations.","intents":["I want to make my documentation or knowledge base accessible to Claude for context-aware responses","I need to serve dynamic content (API responses, database queries) as resources to LLM clients","I want Claude to reference specific files or data without embedding them in every prompt"],"best_for":["Teams building RAG-adjacent systems where resources are served on-demand","Applications with large knowledge bases that need selective context injection","Developers integrating existing documentation systems with LLM agents"],"limitations":["Resource content is served synchronously — large resources may cause latency spikes","No built-in caching or compression; clients receive full content on each request","Resource discovery is limited to listing; no full-text search or filtering on server side"],"requires":["Resource content accessible to the server (files, API endpoints, database)","URI scheme definition for resource identification","MCP client implementation that supports resource retrieval"],"input_types":["Resource URIs","Content type specifications","Dynamic content sources (APIs, databases, file paths)"],"output_types":["Resource metadata (URI, MIME type, description)","Resource content (text, JSON, binary)","Resource listings"],"categories":["memory-knowledge","tool-use-integration"],"confidence":0.5,"matches":0,"success_rate":0},{"id":"smithery_apix420-apix420-mcp-server__cap_3","uri":"capability://text.generation.language.prompt.template.registration.and.client.side.execution","name":"prompt template registration and client-side execution","description":"Enables the server to register reusable prompt templates that MCP clients can discover and execute. 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Clients request template execution with parameters, and the server returns the rendered prompt or executes the full template workflow, supporting prompt composition and standardization across multiple LLM interactions.","intents":["I want to standardize how Claude approaches certain tasks using predefined prompt templates","I need to compose complex prompts with tools and resources without duplicating logic in the client","I want to version and update prompt strategies without changing client code"],"best_for":["Teams managing multiple LLM workflows with consistent patterns","Applications requiring prompt versioning and A/B testing","Organizations standardizing on prompt engineering best practices"],"limitations":["Template parameters are limited to simple types; complex nested structures require custom serialization","No built-in support for conditional logic or branching within templates","Template execution is stateless; no cross-template state sharing or session management"],"requires":["Prompt template definitions with parameter placeholders","MCP client support for prompt template discovery and execution","Understanding of template syntax and parameter binding"],"input_types":["Template definitions (text with parameter placeholders)","Parameter values (strings, numbers, booleans)","Tool and resource references"],"output_types":["Rendered prompt text","Template metadata (name, description, parameters)","Execution results (if template includes tool calls)"],"categories":["text-generation-language","tool-use-integration"],"confidence":0.5,"matches":0,"success_rate":0},{"id":"smithery_apix420-apix420-mcp-server__cap_4","uri":"capability://planning.reasoning.sampling.and.llm.invocation.through.mcp","name":"sampling and llm invocation through mcp","description":"Provides a mechanism for the server to request LLM sampling (text generation) from the connected MCP client, enabling server-side logic to invoke the LLM for intermediate reasoning, content generation, or decision-making. The server sends sampling requests with prompts and parameters, and the client returns generated text. This enables agentic patterns where the server orchestrates multi-step LLM interactions.","intents":["I want my server to call back to the LLM for intermediate reasoning or content generation","I need to implement multi-turn agent loops where the server decides next steps based on LLM output","I want to use the LLM for structured data extraction or transformation within server logic"],"best_for":["Developers building server-side agent orchestration with LLM feedback loops","Applications requiring multi-step reasoning with server-side state management","Teams implementing complex workflows that mix tool execution and LLM reasoning"],"limitations":["Adds round-trip latency for each sampling request — not suitable for high-frequency LLM calls","Sampling parameters are limited to MCP specification; advanced model-specific features may not be exposed","No built-in caching or memoization of sampling results across requests"],"requires":["MCP client with sampling capability (Claude with MCP support)","Server-side logic to handle LLM responses and make decisions","Understanding of prompt engineering for reliable LLM outputs"],"input_types":["Prompt text","Sampling parameters (temperature, max tokens, stop sequences)","System instructions"],"output_types":["Generated text","Sampling metadata (tokens used, finish reason)","Structured data (if prompt requests JSON output)"],"categories":["planning-reasoning","tool-use-integration"],"confidence":0.5,"matches":0,"success_rate":0},{"id":"smithery_apix420-apix420-mcp-server__cap_5","uri":"capability://automation.workflow.notification.and.event.streaming.to.clients","name":"notification and event streaming to clients","description":"Supports server-initiated notifications and event streams sent to MCP clients, enabling real-time updates, progress reporting, and asynchronous event delivery. 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Clients subscribe to notification types and receive updates through the MCP connection.","intents":["I want to notify Claude about background job completion or status changes in real-time","I need to stream progress updates for long-running operations back to the LLM client","I want to push external events (webhooks, database changes) to the LLM for reactive decision-making"],"best_for":["Applications with long-running operations that need progress feedback to LLM agents","Systems integrating external event sources (webhooks, message queues) with LLM workflows","Teams building reactive agent systems that respond to real-time events"],"limitations":["Notification delivery is best-effort; no built-in acknowledgment or retry mechanism","Clients must implement notification handlers; no standard UI for displaying notifications","Event ordering is not guaranteed if multiple notifications are sent in rapid succession"],"requires":["MCP client with notification support","Server-side event generation logic","Network connection stability for streaming"],"input_types":["Event data (structured or unstructured)","Notification metadata (type, priority, timestamp)"],"output_types":["Notification messages","Event streams","Status updates"],"categories":["automation-workflow","tool-use-integration"],"confidence":0.5,"matches":0,"success_rate":0}],"trust":{"score":24,"verified":false,"data_access_risk":"high","permissions":["MCP-compatible client (Claude with MCP support, or custom MCP client implementation)","Network connectivity between client and server","Understanding of MCP protocol specification and JSON-RPC 2.0","JSON Schema understanding and ability to define tool specifications","Handler functions for each registered tool","MCP client that supports tool calling (Claude, custom implementations)","Resource content accessible to the server (files, API endpoints, database)","URI scheme definition for resource identification","MCP client implementation that supports resource retrieval","Prompt template definitions with parameter placeholders"],"failure_modes":["Requires MCP client implementation on the consumer side — not compatible with non-MCP LLM clients","JSON-RPC overhead adds latency compared to direct API calls","Server must maintain persistent connection; no built-in reconnection retry logic visible in minimal documentation","Schema complexity is limited to JSON Schema capabilities — no custom validation logic beyond schema constraints","Tool definitions are static at server startup; dynamic tool registration requires server restart","No built-in support for tool versioning or deprecation workflows","Resource content is served synchronously — large resources may cause latency spikes","No built-in caching or compression; clients receive full content on each request","Resource discovery is limited to listing; no full-text search or filtering on server side","Template parameters are limited to simple types; complex nested structures require custom serialization","builder identity is not verified yet","no observed match outcomes yet"],"rank_breakdown":{"adoption":0.05,"quality":0.22,"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":"2026-05-03T15:19:36.245Z","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=apix420-apix420-mcp-server","compare_url":"https://unfragile.ai/compare?artifact=apix420-apix420-mcp-server"}},"signature":"YRztiCZ7kAyyvEn385ZxChGKoKHMwSC/0INlBdz5GCa2uPCtW3OXPG5rZ1Qwym2APUUQiAawe9TsW2Hf772pCQ==","signedAt":"2026-06-22T08:31:22.520Z","signedBy":"unfragile.ai","version":1},"_links":{"self":"https://unfragile.ai/api/v1/passport/apix420-apix420-mcp-server","artifact":"https://unfragile.ai/apix420-apix420-mcp-server","verify":"https://unfragile.ai/api/v1/verify?slug=apix420-apix420-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"}}