Moltline Optimize
Was dieses MCP kann
Solves operational optimization problems including vehicle routing, packing, cutting stock, staff rostering, knapsack selection, distance matrices, and solution validation.
Tools
Eingabeschema
{'type': 'object', 'required': ['stock', 'parts'], 'properties': {'kerf': {'type': 'number', 'default': 0.0, 'description': 'material lost per cut (same unit as lengths).'}, 'parts': {'type': 'array', 'items': {'type': 'object', 'additionalProperties': True}, 'description': 'required pieces: {length, qty}.'}, 'stock': {'type': 'array', 'items': {'type': 'object', 'additionalProperties': True}, 'description': 'stock lengths available: {length, cost, qty} (qty = how many of that length may be used; default unlimited).'}, 'time_limit_s': {'type': 'number', 'default': 3.0, 'maximum': 15.0, 'minimum': 0, 'description': 'solver time budget in seconds (default 3, max 15).'}}, 'additionalProperties': False}
Ausgabeschema
{'type': 'object', 'additionalProperties': True}
Eingabeschema
{'type': 'object', 'required': ['sheets', 'parts'], 'properties': {'kerf': {'type': 'number', 'default': 0.0, 'description': 'saw blade width lost per cut.'}, 'grain': {'type': 'boolean', 'default': False, 'description': "true when parts must keep their orientation (l along the sheet's l)."}, 'parts': {'type': 'array', 'items': {'type': 'object', 'additionalProperties': True}, 'description': '{id, l, w, qty, rotate}; rotate overrides the grain rule per part.'}, 'sheets': {'type': 'array', 'items': {'type': 'object', 'additionalProperties': True}, 'description': '{id, l, w, qty}; used in the order given.'}}, 'additionalProperties': False}
Ausgabeschema
{'type': 'object', 'additionalProperties': True}
Eingabeschema
{'type': 'object', 'required': ['points'], 'properties': {'unit': {'type': 'string', 'default': 'km', 'description': 'km (default) or mi.'}, 'points': {'type': 'array', 'items': {'type': 'object', 'additionalProperties': True}, 'description': 'list of {id, lat, lon} (up to 200).'}}, 'additionalProperties': False}
Ausgabeschema
{'type': 'object', 'additionalProperties': True}
Eingabeschema
{'type': 'object', 'required': ['solution'], 'properties': {'solution': {'type': 'object', 'description': "the result object returned by one of this server's solve tools.", 'additionalProperties': True}}, 'additionalProperties': False}
Ausgabeschema
{'type': 'object', 'additionalProperties': True}
Eingabeschema
{'type': 'object', 'required': ['items', 'limits'], 'properties': {'items': {'type': 'array', 'items': {'type': 'object', 'additionalProperties': True}, 'description': '{id, value, qty, <resource fields>}: value to maximise plus one number per limited resource.'}, 'limits': {'type': 'object', 'description': '{resource_name: capacity} for each constrained field.', 'additionalProperties': True}, 'time_limit_s': {'type': 'number', 'default': 3.0, 'maximum': 15.0, 'minimum': 0, 'description': 'solver time budget in seconds (default 3, max 15).'}}, 'additionalProperties': False}
Ausgabeschema
{'type': 'object', 'additionalProperties': True}
Eingabeschema
{'type': 'object', 'required': ['items', 'containers'], 'properties': {'items': {'type': 'array', 'items': {'type': 'object', 'additionalProperties': True}, 'description': 'list of {id, l, w, h, weight, qty, rotation, fragile}, all in one length unit.'}, 'rules': {'type': 'object', 'default': {}, 'description': 'optional {min_support: 0-1, default_rotation: any|upright|fixed}.', 'additionalProperties': True}, 'containers': {'type': 'array', 'items': {'type': 'object', 'additionalProperties': True}, 'description': 'list of {id, l, w, h, max_weight, qty}; used in the order given.'}}, 'additionalProperties': False}
Ausgabeschema
{'type': 'object', 'additionalProperties': True}
Eingabeschema
{'type': 'object', 'required': ['items', 'containers'], 'properties': {'items': {'type': 'array', 'items': {'type': 'object', 'additionalProperties': True}, 'description': 'list of {id, l, w, h, weight, qty, rotation, fragile}.'}, 'rules': {'type': 'object', 'default': {}, 'description': 'optional {min_support: 0-1, default_rotation: any|upright|fixed}.', 'additionalProperties': True}, 'containers': {'type': 'array', 'items': {'type': 'object', 'additionalProperties': True}, 'description': 'list of {id, l, w, h, max_weight, qty}.'}}, 'additionalProperties': False}
Ausgabeschema
{'type': 'object', 'additionalProperties': True}
Eingabeschema
{'type': 'object', 'required': ['staff', 'shifts'], 'properties': {'rules': {'type': 'object', 'default': {}, 'description': '{min_rest_hours (default 0), max_consecutive_days (default 7), max_shifts_per_day (default 1)}.', 'additionalProperties': True}, 'staff': {'type': 'array', 'items': {'type': 'object', 'additionalProperties': True}, 'description': '{id, skills[], max_hours, min_hours, unavailable[], prefer[], avoid[], max_shifts}.'}, 'shifts': {'type': 'array', 'items': {'type': 'object', 'additionalProperties': True}, 'description': '{id, start, end (ISO 8601 local), required, skill, weight}.'}, 'time_limit_s': {'type': 'number', 'default': 10.0, 'maximum': 60.0, 'minimum': 0, 'description': 'solver time budget in seconds (default 10, max 60).'}}, 'additionalProperties': False}
Ausgabeschema
{'type': 'object', 'additionalProperties': True}
Eingabeschema
{'type': 'object', 'required': ['stops', 'matrix'], 'properties': {'depot': {'type': 'integer', 'default': 0, 'description': 'index of the depot in stops (default 0).'}, 'stops': {'type': 'array', 'items': {'type': 'object', 'additionalProperties': True}, 'description': 'list of stop objects, depot first: id, optional demand.'}, 'matrix': {'type': 'array', 'items': {'type': 'array', 'items': {'type': 'number'}}, 'description': 'square distance (or time) matrix, row i column j = cost from stop i to stop j.'}, 'time_limit_s': {'type': 'number', 'default': 3.0, 'maximum': 15.0, 'minimum': 0, 'description': 'solver time budget in seconds (default 3, max 15).'}, 'vehicle_capacity': {'type': 'number', 'default': 0.0, 'description': 'optional capacity in the units of demand (0 = unlimited).'}}, 'additionalProperties': False}
Ausgabeschema
{'type': 'object', 'additionalProperties': True}
Eingabeschema
{'type': 'object', 'required': ['stops', 'matrix', 'vehicles'], 'properties': {'depot': {'type': 'integer', 'default': 0, 'description': 'index of the depot in stops (default 0).'}, 'stops': {'type': 'array', 'items': {'type': 'object', 'additionalProperties': True}, 'description': 'depot first; each: id, demand, window [earliest_min, latest_min], service_min.'}, 'matrix': {'type': 'array', 'items': {'type': 'array', 'items': {'type': 'number'}}, 'description': 'square distance matrix in your units.'}, 'vehicles': {'type': 'array', 'items': {'type': 'object', 'additionalProperties': True}, 'description': 'list of {id, capacity, max_distance}; capacity in the units of demand.'}, 'time_matrix': {'type': 'array', 'items': {'type': 'array', 'items': {'type': 'number'}}, 'default': [], 'description': 'optional square travel-time matrix in minutes (defaults to matrix).'}, 'drop_penalty': {'type': 'number', 'default': 0.0, 'description': 'cost of leaving a stop unserved (0 = every stop must be served).'}, 'time_limit_s': {'type': 'number', 'default': 10.0, 'maximum': 60.0, 'minimum': 0, 'description': 'solver time budget in seconds (default 10, max 60).'}}, 'additionalProperties': False}
Ausgabeschema
{'type': 'object', 'additionalProperties': True}
Eingabeschema
{'type': 'object', 'required': ['type', 'problem'], 'properties': {'type': {'type': 'string', 'description': 'route, pack, cut1d, cut2d, roster or knapsack.'}, 'problem': {'type': 'object', 'description': 'the same object you would pass to the tool (stops/matrix/vehicles, items/containers, ...).', 'additionalProperties': True}}, 'additionalProperties': False}
Ausgabeschema
{'type': 'object', 'additionalProperties': True}
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