{"passport":{"unfragile":{"@version":"1.0","version":"2026-05","artifact":{"id":"smithery_jennyyyyyy7528-cell-mcpfetchserver","slug":"jennyyyyyy7528-cell-mcpfetchserver","name":"mcpfetchserver","type":"mcp","url":"https://smithery.ai/servers/jennyyyyyy7528-cell/mcpfetchserver","page_url":"https://unfragile.ai/jennyyyyyy7528-cell-mcpfetchserver","categories":["mcp-servers"],"tags":["mcp","model-context-protocol","smithery:jennyyyyyy7528-cell/mcpfetchserver"],"pricing":{"model":"open_source","free":true,"starting_price":null},"status":"active","verified":false},"capabilities":[{"id":"smithery_jennyyyyyy7528-cell-mcpfetchserver__cap_0","uri":"capability://tool.use.integration.mcp.protocol.integration.for.model.orchestration","name":"mcp protocol integration for model orchestration","description":"This capability enables seamless integration with multiple models using the Model Context Protocol (MCP), allowing users to orchestrate and manage interactions between various AI models. It employs a modular architecture that supports dynamic model loading and context switching, ensuring efficient resource utilization and responsiveness. The server can handle multiple concurrent requests, leveraging asynchronous processing to maintain performance across different model interactions.","intents":["How can I manage multiple AI models in a single application?","What is the best way to switch contexts between different models dynamically?","How do I orchestrate model interactions for complex workflows?"],"best_for":["developers building applications that require multiple AI model integrations"],"limitations":["Limited to models that support MCP; may not work with legacy APIs","Potential latency due to context switching overhead"],"requires":["Node.js 14+","MCP-compliant models"],"input_types":["structured data","text"],"output_types":["structured data","text"],"categories":["tool-use-integration","model-management"],"confidence":0.5,"matches":0,"success_rate":0},{"id":"smithery_jennyyyyyy7528-cell-mcpfetchserver__cap_1","uri":"capability://automation.workflow.asynchronous.request.handling","name":"asynchronous request handling","description":"This capability allows the server to handle multiple requests asynchronously, enabling it to process incoming requests without blocking. It employs an event-driven architecture that utilizes Node.js's non-blocking I/O model, allowing for high throughput and responsiveness even under heavy load. This design choice ensures that the server can efficiently manage multiple simultaneous interactions with various models.","intents":["How can I ensure my application remains responsive under load?","What is the best way to handle multiple simultaneous requests to an AI model?","How do I optimize server performance for concurrent model interactions?"],"best_for":["developers building high-performance applications that require real-time interactions"],"limitations":["Complexity in managing state across asynchronous calls","Requires careful error handling to maintain reliability"],"requires":["Node.js 14+","Understanding of asynchronous programming in JavaScript"],"input_types":["text","structured data"],"output_types":["text","structured data"],"categories":["automation-workflow","performance-optimization"],"confidence":0.5,"matches":0,"success_rate":0},{"id":"smithery_jennyyyyyy7528-cell-mcpfetchserver__cap_2","uri":"capability://memory.knowledge.dynamic.context.management","name":"dynamic context management","description":"This capability allows for dynamic management of context across different model interactions, enabling the server to maintain relevant information for each session. It uses a context stack that is updated in real-time as requests are processed, ensuring that each model interaction has access to the necessary context without requiring redundant data transfers. This approach minimizes latency and enhances the relevance of responses.","intents":["How can I maintain context across multiple model interactions?","What strategies can I use to optimize context management for AI models?","How do I ensure that each model receives the appropriate context for its tasks?"],"best_for":["developers needing to manage complex interactions with multiple AI models"],"limitations":["Increased memory usage for maintaining context stacks","Complexity in context retrieval and management"],"requires":["Node.js 14+","MCP-compliant models"],"input_types":["text","structured data"],"output_types":["text","structured data"],"categories":["memory-knowledge","context-management"],"confidence":0.5,"matches":0,"success_rate":0}],"trust":{"score":23,"verified":false,"data_access_risk":"moderate","permissions":["Node.js 14+","MCP-compliant models","Understanding of asynchronous programming in JavaScript"],"failure_modes":["Limited to models that support MCP; may not work with legacy APIs","Potential latency due to context switching overhead","Complexity in managing state across asynchronous calls","Requires careful error handling to maintain reliability","Increased memory usage for maintaining context stacks","Complexity in context retrieval and management","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":"2026-05-24T12:16:26.914Z","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=jennyyyyyy7528-cell-mcpfetchserver","compare_url":"https://unfragile.ai/compare?artifact=jennyyyyyy7528-cell-mcpfetchserver"}},"signature":"RD9OAfpVxlROCI/A+LG2ODSOyapld3TeSj6HL4UVkkRloG8Az+JDyjx9eTBIzhUuO3zVlmHwsbcln1DENxwiDA==","signedAt":"2026-06-22T20:09:33.516Z","signedBy":"unfragile.ai","version":1},"_links":{"self":"https://unfragile.ai/api/v1/passport/jennyyyyyy7528-cell-mcpfetchserver","artifact":"https://unfragile.ai/jennyyyyyy7528-cell-mcpfetchserver","verify":"https://unfragile.ai/api/v1/verify?slug=jennyyyyyy7528-cell-mcpfetchserver","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"}}