{"passport":{"unfragile":{"@version":"1.0","version":"2026-05","artifact":{"id":"smithery_bitsbound-mcp-server","slug":"bitsbound-mcp-server","name":"mcp-server","type":"mcp","url":"https://smithery.ai/servers/bitsbound/mcp-server","page_url":"https://unfragile.ai/bitsbound-mcp-server","categories":["mcp-servers"],"tags":["mcp","model-context-protocol","smithery:bitsbound/mcp-server"],"pricing":{"model":"open_source","free":true,"starting_price":null},"status":"active","verified":false},"capabilities":[{"id":"smithery_bitsbound-mcp-server__cap_0","uri":"capability://tool.use.integration.multi.provider.api.orchestration","name":"multi-provider api orchestration","description":"This capability enables the mcp-server to orchestrate API calls across multiple model providers using a unified context protocol. It employs a plugin architecture that allows seamless integration of various AI models, enabling users to switch between them without changing the underlying code structure. The server manages state and context, ensuring that requests are routed correctly based on the defined schema, which enhances flexibility and reduces integration complexity.","intents":["How can I integrate multiple AI models into my application seamlessly?","I need to switch between different AI providers without rewriting my code.","What is the best way to manage API calls to different models in a consistent manner?"],"best_for":["developers building applications that require diverse AI model integrations"],"limitations":["Requires manual configuration for each model provider, which can be time-consuming."],"requires":["Node.js 14+","Access to API keys for each model provider"],"input_types":["structured data","API requests"],"output_types":["structured data","API responses"],"categories":["tool-use-integration","api management"],"confidence":0.5,"matches":0,"success_rate":0},{"id":"smithery_bitsbound-mcp-server__cap_1","uri":"capability://memory.knowledge.contextual.state.management","name":"contextual state management","description":"The mcp-server maintains contextual state across multiple interactions, allowing for a coherent dialogue with users or applications. It uses a context stack that captures previous interactions and model responses, which can be referenced in subsequent API calls. This capability ensures that the server can provide relevant responses based on historical context, making it suitable for complex conversational applications.","intents":["How can I maintain context across multiple API calls?","I want to build a conversational agent that remembers previous interactions.","What is the best way to manage state in a multi-turn conversation?"],"best_for":["developers creating conversational AI applications"],"limitations":["Context stack size is limited, which may lead to loss of older interactions."],"requires":["Node.js 14+","Properly configured context storage"],"input_types":["text","structured data"],"output_types":["text","structured data"],"categories":["memory-knowledge","conversational ai"],"confidence":0.5,"matches":0,"success_rate":0},{"id":"smithery_bitsbound-mcp-server__cap_2","uri":"capability://data.processing.analysis.schema.based.request.validation","name":"schema-based request validation","description":"This capability ensures that all incoming API requests conform to a predefined schema, which is crucial for maintaining data integrity and preventing errors. The mcp-server uses JSON Schema validation to enforce structure and type checks on incoming requests, providing immediate feedback to developers about request validity. This reduces the likelihood of runtime errors and improves overall system reliability.","intents":["How can I ensure that my API requests are valid before processing?","What is the best way to enforce data integrity in my API?","I need to validate incoming data against a specific schema."],"best_for":["API developers looking to enforce strict data validation"],"limitations":["Schemas must be manually defined and updated, which can be cumbersome."],"requires":["Node.js 14+","JSON Schema definitions for validation"],"input_types":["JSON","structured data"],"output_types":["error messages","validation results"],"categories":["data-processing-analysis","api validation"],"confidence":0.5,"matches":0,"success_rate":0},{"id":"smithery_bitsbound-mcp-server__cap_3","uri":"capability://planning.reasoning.dynamic.model.switching","name":"dynamic model switching","description":"This capability allows users to dynamically switch between different AI models based on specific criteria or user inputs. The mcp-server leverages a routing mechanism that evaluates incoming requests and selects the appropriate model to handle each request. This is particularly useful in scenarios where different models excel at different tasks, enabling optimal performance without manual intervention.","intents":["How can I automatically choose the best model for a given task?","I want to switch models based on user input or context.","What is the best way to implement model selection in my application?"],"best_for":["developers building applications that require adaptive AI capabilities"],"limitations":["Routing logic can become complex, requiring careful design to avoid performance bottlenecks."],"requires":["Node.js 14+","Configuration of model performance metrics"],"input_types":["text","structured data"],"output_types":["text","model responses"],"categories":["planning-reasoning","model management"],"confidence":0.5,"matches":0,"success_rate":0},{"id":"smithery_bitsbound-mcp-server__cap_4","uri":"capability://automation.workflow.real.time.monitoring.and.logging","name":"real-time monitoring and logging","description":"The mcp-server includes built-in capabilities for real-time monitoring and logging of API interactions, which is essential for debugging and performance optimization. It captures metrics such as response times, error rates, and request volumes, providing developers with insights into system performance. The logging system is designed to be lightweight and non-intrusive, ensuring that it does not impact the performance of the server.","intents":["How can I monitor the performance of my API in real-time?","I need to log API interactions for debugging purposes.","What is the best way to analyze request patterns and performance metrics?"],"best_for":["developers needing insights into API performance"],"limitations":["Logging can generate large volumes of data, requiring efficient storage solutions."],"requires":["Node.js 14+","Logging configuration"],"input_types":["API requests","system metrics"],"output_types":["logs","performance reports"],"categories":["automation-workflow","monitoring"],"confidence":0.5,"matches":0,"success_rate":0}],"trust":{"score":24,"verified":false,"data_access_risk":"moderate","permissions":["Node.js 14+","Access to API keys for each model provider","Properly configured context storage","JSON Schema definitions for validation","Configuration of model performance metrics","Logging configuration"],"failure_modes":["Requires manual configuration for each model provider, which can be time-consuming.","Context stack size is limited, which may lead to loss of older interactions.","Schemas must be manually defined and updated, which can be cumbersome.","Routing logic can become complex, requiring careful design to avoid performance bottlenecks.","Logging can generate large volumes of data, requiring efficient storage solutions.","builder identity is not verified yet","no observed match outcomes yet"],"rank_breakdown":{"adoption":0.05,"quality":0.2,"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":"2026-05-24T12:16:25.636Z","last_scraped_at":"2026-05-03T15:19:44.685Z","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=bitsbound-mcp-server","compare_url":"https://unfragile.ai/compare?artifact=bitsbound-mcp-server"}},"signature":"30wMQIzBz0awvSjEUZLmb9YZP2NtuPO5QHH3nE8gUW6pTOPJy7aZJKN35CKcGIEIjLmOYjofY/eBHZlIQ8l7CA==","signedAt":"2026-06-20T13:35:34.593Z","signedBy":"unfragile.ai","version":1},"_links":{"self":"https://unfragile.ai/api/v1/passport/bitsbound-mcp-server","artifact":"https://unfragile.ai/bitsbound-mcp-server","verify":"https://unfragile.ai/api/v1/verify?slug=bitsbound-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"}}