Local Model Suitability MCP
Was dieses MCP kann
Determines whether a task can be handled by a local model instead of a cloud inference service and recommends a routing option.
Tools
Eingabeschema
{'type': 'object', 'required': ['task'], 'properties': {'task': {'type': 'string', 'description': 'The exact task you are about to send to a cloud model. Be specific — include what the input is and what output you need.'}, 'data_sensitivity': {'enum': ['PUBLIC', 'INTERNAL', 'CONFIDENTIAL'], 'type': 'string', 'description': 'CONFIDENTIAL forces LOCAL verdict regardless of task complexity — data must not leave the machine. Defaults to PUBLIC.'}, 'quality_threshold': {'enum': ['PRODUCTION', 'PROTOTYPE', 'BEST_EFFORT'], 'type': 'string', 'description': 'PRODUCTION = output quality matters and errors are costly. PROTOTYPE = approximate results acceptable. BEST_EFFORT = speed and cost trump quality. Defaults to PRODUCTION.'}}}
Ausgabeschema
{'type': 'object', 'required': ['verdict', 'confidence', 'reason', 'checked_at', '_disclaimer'], 'properties': {'reason': {'type': 'string'}, 'verdict': {'enum': ['LOCAL', 'CLOUD', 'EITHER'], 'type': 'string'}, 'checked_at': {'type': 'string', 'format': 'date-time'}, 'confidence': {'enum': ['HIGH', 'MEDIUM', 'LOW'], 'type': 'string'}, '_disclaimer': {'type': 'string'}, 'analysis_type': {'type': 'string'}, 'data_sensitivity': {'enum': ['PUBLIC', 'INTERNAL', 'CONFIDENTIAL'], 'type': 'string'}, 'estimated_cost_saving': {'type': 'string'}, 'cloud_justified_reason': {'type': ['string', 'null'], 'description': 'Non-null only when verdict is CLOUD'}, 'task_quality_threshold': {'enum': ['PRODUCTION', 'PROTOTYPE', 'BEST_EFFORT'], 'type': 'string'}, 'recommended_local_models': {'type': 'array', 'items': {'type': 'string'}, 'description': 'Present when verdict is LOCAL or EITHER'}, 'data_sensitivity_override': {'type': 'boolean', 'description': 'Present only when data_sensitivity=CONFIDENTIAL forced a LOCAL verdict'}}, 'additionalProperties': True}
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