{"passport":{"unfragile":{"@version":"1.0","version":"2026-05","artifact":{"id":"smithery_ebenova-fieldops-mcp","slug":"ebenova-fieldops-mcp","name":"fieldops-mcp","type":"mcp","url":"https://smithery.ai/servers/ebenova/fieldops-mcp","page_url":"https://unfragile.ai/ebenova-fieldops-mcp","categories":["mcp-servers"],"tags":["mcp","model-context-protocol","smithery:ebenova/fieldops-mcp"],"pricing":{"model":"open_source","free":true,"starting_price":null},"status":"active","verified":false},"capabilities":[{"id":"smithery_ebenova-fieldops-mcp__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 and call functions using a schema-based approach, enabling seamless integration with multiple service providers. It leverages a dynamic function registry that maps function signatures to their respective APIs, allowing for flexible orchestration of tasks across various models and endpoints. This design choice enhances interoperability and reduces the complexity of managing different API contracts.","intents":["How can I integrate multiple AI models into my application seamlessly?","What is the best way to manage function calls to different APIs?","How can I ensure my application can easily switch between service providers?"],"best_for":["developers building applications that require integration with multiple AI services"],"limitations":["Requires manual configuration of function schemas for each provider, which can be time-consuming."],"requires":["Node.js 18+","API keys for the respective service providers"],"input_types":["structured data","JSON"],"output_types":["structured data","JSON"],"categories":["tool-use-integration","api orchestration"],"confidence":0.5,"matches":0,"success_rate":0},{"id":"smithery_ebenova-fieldops-mcp__cap_1","uri":"capability://automation.workflow.contextual.task.orchestration","name":"contextual task orchestration","description":"This capability enables the orchestration of tasks based on contextual information, allowing for adaptive workflows that respond to real-time data inputs. It employs a context management system that tracks the state and history of interactions, ensuring that subsequent tasks are executed with the most relevant information. This approach enhances the efficiency of multi-step processes by reducing the need for redundant data retrieval.","intents":["How can I automate workflows that depend on previous task outputs?","What is the best way to manage state across multiple API calls?","How can I ensure my application adapts to changing user inputs dynamically?"],"best_for":["teams developing complex workflows that require state management"],"limitations":["State management can introduce latency if not optimized, potentially slowing down response times."],"requires":["Node.js 18+","Database for state persistence"],"input_types":["text","structured data"],"output_types":["text","structured data"],"categories":["automation-workflow","context management"],"confidence":0.5,"matches":0,"success_rate":0},{"id":"smithery_ebenova-fieldops-mcp__cap_2","uri":"capability://tool.use.integration.multi.model.integration.framework","name":"multi-model integration framework","description":"This capability provides a framework for integrating multiple AI models into a single application, allowing users to leverage the strengths of different models for various tasks. It uses a modular architecture that decouples model selection from execution, enabling developers to easily swap models based on performance or availability. This flexibility is particularly useful for applications that require diverse AI functionalities.","intents":["How can I use different AI models for different tasks within my application?","What is the best way to manage model dependencies in my project?","How can I ensure my application can adapt to new models as they become available?"],"best_for":["developers looking to build applications with diverse AI capabilities"],"limitations":["Integration complexity increases with the number of models, requiring careful management."],"requires":["Node.js 18+","Access to multiple AI model APIs"],"input_types":["text","structured data"],"output_types":["text","structured data"],"categories":["tool-use-integration","model orchestration"],"confidence":0.5,"matches":0,"success_rate":0}],"trust":{"score":23,"verified":false,"data_access_risk":"high","permissions":["Node.js 18+","API keys for the respective service providers","Database for state persistence","Access to multiple AI model APIs"],"failure_modes":["Requires manual configuration of function schemas for each provider, which can be time-consuming.","State management can introduce latency if not optimized, potentially slowing down response times.","Integration complexity increases with the number of models, requiring careful 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":"2026-05-24T12:16:26.346Z","last_scraped_at":"2026-05-03T15:19:24.054Z","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=ebenova-fieldops-mcp","compare_url":"https://unfragile.ai/compare?artifact=ebenova-fieldops-mcp"}},"signature":"aoGjC0GBy0nOFN0QtrvQNGZJc7CUksC1oYuYDmkfR4eUB5n+bO9vxKSfA2vgoyrLffsgemE44l2La5Nga6AWCw==","signedAt":"2026-06-22T01:39:20.494Z","signedBy":"unfragile.ai","version":1},"_links":{"self":"https://unfragile.ai/api/v1/passport/ebenova-fieldops-mcp","artifact":"https://unfragile.ai/ebenova-fieldops-mcp","verify":"https://unfragile.ai/api/v1/verify?slug=ebenova-fieldops-mcp","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"}}