{"passport":{"unfragile":{"@version":"1.0","version":"2026-05","artifact":{"id":"smithery_monet88-mcp-chrome","slug":"monet88-mcp-chrome","name":"mcp-chrome","type":"mcp","url":"https://github.com/monet88/mcp-chrome","page_url":"https://unfragile.ai/monet88-mcp-chrome","categories":["mcp-servers"],"tags":["mcp","model-context-protocol","smithery:monet88/mcp-chrome"],"pricing":{"model":"open_source","free":true,"starting_price":null},"status":"active","verified":false},"capabilities":[{"id":"smithery_monet88-mcp-chrome__cap_0","uri":"capability://tool.use.integration.mcp.server.integration.for.model.context.management","name":"mcp server integration for model context management","description":"This capability allows for seamless integration of multiple AI models via the Model Context Protocol (MCP), enabling dynamic context switching and management. It employs a modular architecture that supports various model endpoints, facilitating real-time context updates and interactions without requiring extensive reconfiguration. The server is designed to handle multiple concurrent requests efficiently, utilizing asynchronous processing to maintain responsiveness.","intents":["How can I integrate multiple AI models into my application using MCP?","What is the best way to manage context switching between different AI models?","How do I set up a server to handle dynamic model interactions?"],"best_for":["developers building applications that require multiple AI model integrations"],"limitations":["Limited to models that support the MCP specification; may require additional configuration for non-standard models"],"requires":["Node.js 14+","MCP-compatible AI models"],"input_types":["text","structured data"],"output_types":["text","structured data"],"categories":["tool-use-integration","mcp-servers"],"confidence":0.5,"matches":0,"success_rate":0},{"id":"smithery_monet88-mcp-chrome__cap_1","uri":"capability://automation.workflow.asynchronous.request.handling.for.improved.performance","name":"asynchronous request handling for improved performance","description":"This capability leverages asynchronous programming patterns to handle multiple requests concurrently, ensuring that the server remains responsive even under heavy load. By using event-driven architecture, it minimizes latency and maximizes throughput, allowing developers to scale their applications efficiently. This approach is particularly beneficial for applications requiring real-time interactions with AI models.","intents":["How can I ensure my application remains responsive while handling multiple AI requests?","What techniques can I use to improve the performance of my MCP server?","How do I implement asynchronous processing in my server setup?"],"best_for":["teams developing high-performance applications with real-time AI interactions"],"limitations":["Complexity in debugging asynchronous code; potential for callback hell if not managed properly"],"requires":["Node.js 14+","Knowledge of asynchronous programming patterns"],"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_monet88-mcp-chrome__cap_2","uri":"capability://memory.knowledge.dynamic.context.management.for.ai.models","name":"dynamic context management for ai models","description":"This capability enables the server to manage and switch contexts dynamically based on user interactions or application requirements. It uses a context stack mechanism that allows for quick retrieval and application of the appropriate context for each model interaction. This is particularly useful in scenarios where user input can change the required context on-the-fly.","intents":["How can I manage different contexts for various AI models in my application?","What is the best way to switch contexts dynamically based on user input?","How do I implement context stacks for AI interactions?"],"best_for":["developers building interactive applications that require context-aware AI responses"],"limitations":["Context management can become complex with multiple models; requires careful design to avoid context leakage"],"requires":["Node.js 14+","MCP-compatible AI 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":24,"verified":false,"data_access_risk":"moderate","permissions":["Node.js 14+","MCP-compatible AI models","Knowledge of asynchronous programming patterns"],"failure_modes":["Limited to models that support the MCP specification; may require additional configuration for non-standard models","Complexity in debugging asynchronous code; potential for callback hell if not managed properly","Context management can become complex with multiple models; requires careful design to avoid context leakage","builder identity is not verified yet","no observed match outcomes yet"],"rank_breakdown":{"adoption":0.05,"quality":0.16,"ecosystem":0.48999999999999994,"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":"2026-05-24T12:16:27.442Z","last_scraped_at":"2026-05-03T15:19:16.961Z","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=monet88-mcp-chrome","compare_url":"https://unfragile.ai/compare?artifact=monet88-mcp-chrome"}},"signature":"eRD5isVg/vmv4xyXX+lVjUYMioeTBHEGNR4iQpxC2GHPzmKv2CcOOdkB2iISIVg37iFEZx1HAs6Ajhh4bVQZDQ==","signedAt":"2026-06-22T02:42:48.258Z","signedBy":"unfragile.ai","version":1},"_links":{"self":"https://unfragile.ai/api/v1/passport/monet88-mcp-chrome","artifact":"https://unfragile.ai/monet88-mcp-chrome","verify":"https://unfragile.ai/api/v1/verify?slug=monet88-mcp-chrome","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"}}