{"passport":{"unfragile":{"@version":"1.0","version":"2026-05","artifact":{"id":"smithery_seefor-sif-pw","slug":"seefor-sif-pw","name":"sif-pw","type":"mcp","url":"https://smithery.ai/servers/seefor/sif-pw","page_url":"https://unfragile.ai/seefor-sif-pw","categories":["mcp-servers"],"tags":["mcp","model-context-protocol","smithery:seefor/sif-pw"],"pricing":{"model":"open_source","free":true,"starting_price":null},"status":"active","verified":false},"capabilities":[{"id":"smithery_seefor-sif-pw__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 interface with multiple AI model providers. It utilizes a modular architecture that abstracts the function calling process, enabling seamless integration with various APIs like OpenAI and Anthropic. This design choice enhances flexibility and reduces the complexity of switching between different model providers, making it easier for developers to adapt to changing requirements.","intents":["How can I call functions from different AI providers without rewriting my code?","I need a way to switch between models easily for testing.","Can I integrate multiple APIs into my application seamlessly?"],"best_for":["developers building applications that require multi-provider AI integration"],"limitations":["Requires careful schema definition to avoid runtime errors","Limited to providers supported by the schema"],"requires":["Node.js 14+","API keys for the respective AI providers"],"input_types":["structured data","text"],"output_types":["structured data","text"],"categories":["tool-use-integration","api orchestration"],"confidence":0.5,"matches":0,"success_rate":0},{"id":"smithery_seefor-sif-pw__cap_1","uri":"capability://memory.knowledge.contextual.model.management","name":"contextual model management","description":"This capability manages the context of interactions with AI models by maintaining state across multiple requests. It employs a context stack mechanism that ensures relevant information is preserved and reused, enhancing the coherence of conversations or tasks. This architectural choice allows for a more natural interaction flow, making it distinct from simpler stateless approaches.","intents":["How can I maintain context across multiple API calls?","I want to ensure my application remembers user interactions.","Can I manage conversation state in my AI application?"],"best_for":["developers creating conversational agents or interactive applications"],"limitations":["Increased memory usage for context storage","Context size may be limited based on configuration"],"requires":["Node.js 14+","Memory allocation for context storage"],"input_types":["text","structured data"],"output_types":["text","structured data"],"categories":["memory-knowledge","context management"],"confidence":0.5,"matches":0,"success_rate":0},{"id":"smithery_seefor-sif-pw__cap_2","uri":"capability://tool.use.integration.dynamic.api.orchestration","name":"dynamic api orchestration","description":"This capability orchestrates calls to multiple APIs dynamically based on user-defined workflows. It leverages a rule-based engine to determine the sequence of API calls and manage dependencies between them. This approach allows for complex workflows to be executed with minimal configuration, distinguishing it from static orchestration methods.","intents":["How can I automate a series of API calls based on user input?","I need to create workflows that involve multiple AI services.","Can I manage dependencies between different API calls?"],"best_for":["developers building complex applications that require API integrations"],"limitations":["Workflow complexity can lead to debugging challenges","Requires thorough testing to ensure correct execution order"],"requires":["Node.js 14+","Access to the APIs being orchestrated"],"input_types":["text","structured data"],"output_types":["text","structured data"],"categories":["tool-use-integration","automation-workflow"],"confidence":0.5,"matches":0,"success_rate":0}],"trust":{"score":23,"verified":false,"data_access_risk":"moderate","permissions":["Node.js 14+","API keys for the respective AI providers","Memory allocation for context storage","Access to the APIs being orchestrated"],"failure_modes":["Requires careful schema definition to avoid runtime errors","Limited to providers supported by the schema","Increased memory usage for context storage","Context size may be limited based on configuration","Workflow complexity can lead to debugging challenges","Requires thorough testing to ensure correct execution order","builder identity is not verified yet","no observed match outcomes yet"],"rank_breakdown":{"adoption":0.05,"quality":0.16,"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":"2026-05-24T12:16:28.138Z","last_scraped_at":"2026-05-03T15:19:06.728Z","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=seefor-sif-pw","compare_url":"https://unfragile.ai/compare?artifact=seefor-sif-pw"}},"signature":"a0hlSIrKLnH9oBCRB5OvwJdvVuCE7GlzVGp2ATcw/N84FK7eAN5YxzbTBWV/a1GaLodaBUGQmaRy86aN2CJ5BQ==","signedAt":"2026-06-19T15:19:30.132Z","signedBy":"unfragile.ai","version":1},"_links":{"self":"https://unfragile.ai/api/v1/passport/seefor-sif-pw","artifact":"https://unfragile.ai/seefor-sif-pw","verify":"https://unfragile.ai/api/v1/verify?slug=seefor-sif-pw","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"}}