此 MCP 可以做什么
Provides live port congestion, vessel queues, delays, physical events, forecasts, disruption indices, routing comparisons, and demurrage exposure estimates for supply-chain decisions.
功能
工具
23
工具
assess_logistics_disruption
[INTEGRATED TOOL] Assesses end-to-end logistics disruption for a specific port and optionally a corridor.
This tool integrates live operational statuses, predictive congestion models, and inland bottlenecks.
It returns a structured, traceable response suitable for M2M agents.
Args:
port_id: UN/LOCODE e.g. "NLRTM", "BRSSZ", "BRPNG". Required.
corridor_id: Corridor/Chokepoint ID if relevant (e.g. "NLRTM", "HORMUZ"). Optional.
horizon_hours: Forecast horizon in hours (default 24). Must be an integer between 1 and 168 (7 days). Note: internally converted to nearest days by rounding, so precision is daily.
objective: Operational objective (e.g., "routing", "demurrage_avoidance", "inventory_planning"). Optional.
输入模式
{'type': 'object', 'title': 'assess_logistics_disruptionArguments', 'required': ['port_id'], 'properties': {'port_id': {'type': 'string', 'title': 'Port Id'}, 'objective': {'anyOf': [{'type': 'string'}, {'type': 'null'}], 'title': 'Objective', 'default': None}, 'corridor_id': {'anyOf': [{'type': 'string'}, {'type': 'null'}], 'title': 'Corridor Id', 'default': None}, 'horizon_hours': {'type': 'integer', 'title': 'Horizon Hours', 'default': 24}}}
输出模式
{'type': 'object', 'title': 'assess_logistics_disruptionDictOutput', 'additionalProperties': True}
evaluate_charter_risk
[DECISION TOOL] Evaluate charter risk and demurrage financial exposure under explicit assumptions.
Returns a DecisionResult (decision-result.v1) with:
- exposure.value: estimated exposure in USD
- exposure.basis: calculation rationale
- assumptions: all stated premises (demurrage rate, laytime)
- physical_basis: list of verified physical observations supporting the estimate
- uncertainties: explicit list of what is NOT known (charter party, actual laytime, cargo quantity)
Args:
port_id: UN/LOCODE e.g. "BRPNG" (Paranaguá).
commodity: Commodity type e.g. "SOJA", "MILHO", "CONTEINERES".
demurrage_rate_usd_day: Demurrage rate in USD/day (default: 32000).
expected_laytime_days: Agreed laytime in days (default: 2.0).
输入模式
{'type': 'object', 'title': 'evaluate_charter_riskArguments', 'required': ['port_id'], 'properties': {'port_id': {'type': 'string', 'title': 'Port Id'}, 'commodity': {'type': 'string', 'title': 'Commodity', 'default': 'SOJA'}, 'expected_laytime_days': {'type': 'number', 'title': 'Expected Laytime Days', 'default': 2.0}, 'demurrage_rate_usd_day': {'type': 'number', 'title': 'Demurrage Rate Usd Day', 'default': 32000.0}}}
输出模式
{'type': 'object', 'title': 'evaluate_charter_riskDictOutput', 'additionalProperties': True}
evaluate_chokepoint_disruption
[INFERENCE TOOL] Calculate Chokepoint Disruption Risk (CDR, 0-100 risk score).
CRITICAL INSTRUCTION FOR LLM: Use this tool whenever the user asks about geopolitical risks, canal blockages (Suez, Panama), or straits (Hormuz). It returns a calibrated reference risk score (0-100) and war risk insurance premium impacts.
ACCURACY: chokepoint values are a STATIC REFERENCE baseline. There is no chokepoint telemetry feed, so the score does not update with current events â never describe it as a live reading or as reflecting "right now", and say so explicitly if the user asks about the present. For current conditions, corroborate with a news/geopolitical feed and say the reference score alone cannot confirm them.
CDR = (Risk Score à 0.4) + (% of Normal à 0.3) + (7-day Avg à 0.2) + (Diversion Tracking à 0.1).
Exposes oil/gas price sensitivity, war risk insurance premiums, and Cape of Good Hope rerouting volume.
Args:
chokepoint_id: Chokepoint ID e.g. "HORMUZ", "EGSUZ" (Suez), "PABLB" (Panama).
输入模式
{'type': 'object', 'title': 'evaluate_chokepoint_disruptionArguments', 'properties': {'chokepoint_id': {'type': 'string', 'title': 'Chokepoint Id', 'default': 'HORMUZ'}}}
输出模式
{'type': 'object', 'title': 'evaluate_chokepoint_disruptionDictOutput', 'additionalProperties': True}
evaluate_corridor_risk
[DECISION TOOL] Evaluate full global trade corridor risk (e.g. Chicago/Brazil -> China/Europe).
Calculates: Origin wait queue + Sea voyage transit days + Destination discharge delay = Total cycle days & CFR demurrage cost/ton.
Args:
origin_port: Export port UN/LOCODE e.g. "BRPNG" (Paranaguá), "BRSSZ" (Santos).
destination_port: Import port UN/LOCODE e.g. "CNTAO" (Qingdao), "CNNGB" (Ningbo), "NLRTM" (Rotterdam).
commodity: Commodity type e.g. "SOJA", "MILHO".
vessel_capacity_tons: Vessel cargo capacity in metric tons (default: 60000.0).
输入模式
{'type': 'object', 'title': 'evaluate_corridor_riskArguments', 'required': ['origin_port', 'destination_port'], 'properties': {'commodity': {'type': 'string', 'title': 'Commodity', 'default': 'SOJA'}, 'origin_port': {'type': 'string', 'title': 'Origin Port'}, 'destination_port': {'type': 'string', 'title': 'Destination Port'}, 'vessel_capacity_tons': {'type': 'number', 'title': 'Vessel Capacity Tons', 'default': 60000.0}}}
输出模式
{'type': 'object', 'title': 'evaluate_corridor_riskDictOutput', 'additionalProperties': True}
evaluate_end_to_end_supply_chain_risk
[INFERENCE TOOL] Supply Chain Disruption Early Warning (SCDEW, 0-100 composite warning score).
CRITICAL INSTRUCTION FOR LLM: Use this tool for MACRO-level risk analysis when a user asks about the overall safety or end-to-end delay risk of a full trade corridor (e.g., Brazil to China).
SCDEW = (PCI Ã 0.3) + (CDR Ã 0.3) + (VQPM Ã 0.2) + (IRDI Ã 0.2).
Args:
origin_port: Export port UN/LOCODE e.g. "BRPNG", "BRSSZ".
destination_port: Import port UN/LOCODE e.g. "CNTAO", "NLRTM".
chokepoint_id: Intermediary chokepoint UN/LOCODE e.g. "HORMUZ", "EGSUZ".
输入模式
{'type': 'object', 'title': 'evaluate_end_to_end_supply_chain_riskArguments', 'properties': {'origin_port': {'type': 'string', 'title': 'Origin Port', 'default': 'BRPNG'}, 'chokepoint_id': {'type': 'string', 'title': 'Chokepoint Id', 'default': 'HORMUZ'}, 'destination_port': {'type': 'string', 'title': 'Destination Port', 'default': 'CNTAO'}}}
输出模式
{'type': 'object', 'title': 'evaluate_end_to_end_supply_chain_riskDictOutput', 'additionalProperties': True}
evaluate_fiscal_routing
[DECISION TOOL] Evaluate fiscal and logistical arbitrage across alternative ports.
Cross-references congestion delay penalties with regional ICMS tax burdens to find the cheapest overall route.
Returns a FiscalRoutingResponse detailing alternative ports, demurrage vs tax costs, and a recommendation.
Args:
intended_port_id: UN/LOCODE of the intended destination port (e.g. BRSSZ).
commodity: Cargo type to lookup tax rules for (e.g. FERTILIZANTES, SOJA).
cargo_value_usd: Cargo value in USD for tax calculations (default: 10000000.0).
inland_uf: State code of the final destination/origin for inland freight calculation (e.g. MT, GO, PR).
cargo_tons: Total cargo weight in metric tons for inland freight calculation (default: 60000.0).
输入模式
{'type': 'object', 'title': 'evaluate_fiscal_routingArguments', 'required': ['intended_port_id'], 'properties': {'commodity': {'type': 'string', 'title': 'Commodity', 'default': 'FERTILIZANTES'}, 'inland_uf': {'type': 'string', 'title': 'Inland Uf', 'default': 'MT'}, 'cargo_tons': {'type': 'number', 'title': 'Cargo Tons', 'default': 60000.0}, 'cargo_value_usd': {'type': 'number', 'title': 'Cargo Value Usd', 'default': 10000000.0}, 'intended_port_id': {'type': 'string', 'title': 'Intended Port Id'}}}
输出模式
{'type': 'object', 'title': 'evaluate_fiscal_routingDictOutput', 'additionalProperties': True}
evaluate_routing_alternatives
[DECISION TOOL] Evaluate and compare physical logistics conditions between two ports.
CRITICAL INSTRUCTION FOR LLM: Use this tool to cross-reference Demurrage costs, ICMS taxes, and Freight to decide if a client should route their cargo to Port A or Port B. Highly recommended for cost-saving queries.
Returns a DecisionResult (decision-result.v1) with:
- comparison.delta_delay_days: estimated delay difference
- comparison.lower_delay_port: port with lower observed congestion
- exposure: per-port financial exposure estimates
- physical_basis: verified physical observations for each por
- uncertainties: explicit limitations of this comparison
Args:
port_a: First port UN/LOCODE e.g. "BRPNG".
port_b: Second port UN/LOCODE e.g. "BRSSZ".
commodity: Commodity type e.g. "SOJA".
输入模式
{'type': 'object', 'title': 'evaluate_routing_alternativesArguments', 'required': ['port_a', 'port_b'], 'properties': {'port_a': {'type': 'string', 'title': 'Port A'}, 'port_b': {'type': 'string', 'title': 'Port B'}, 'commodity': {'type': 'string', 'title': 'Commodity', 'default': 'SOJA'}}}
输出模式
{'type': 'object', 'title': 'evaluate_routing_alternativesDictOutput', 'additionalProperties': True}
evaluate_scdew_warning
[DEPRECATED: Use evaluate_end_to_end_supply_chain_risk instead] Supply Chain Disruption Early Warning.
输入模式
{'type': 'object', 'title': 'evaluate_scdew_warningArguments', 'properties': {'origin_port': {'type': 'string', 'title': 'Origin Port', 'default': 'BRPNG'}, 'chokepoint_id': {'type': 'string', 'title': 'Chokepoint Id', 'default': 'HORMUZ'}, 'destination_port': {'type': 'string', 'title': 'Destination Port', 'default': 'CNTAO'}}}
forecast_vessel_queue_delays
[INFERENCE TOOL] Vessel Queue Predictive Model (VQPM) for t+1 to t+7.
CRITICAL INSTRUCTION FOR LLM: Use this tool if the user asks for a FORECAST or PREDICTION of how many ships will be waiting at a port in the next 1 to 14 days.
VQPM_{t+1} = α à VQ_t + β à PCI_t + γ à CDR_t + δ à Seasonality.
Args:
port_id: UN/LOCODE e.g. "BRSSZ" (Santos), "BRPNG" (Paranaguá).
forecast_horizon_days: Horizon in days (1 to 7, default: 1).
输入模式
{'type': 'object', 'title': 'forecast_vessel_queue_delaysArguments', 'required': ['port_id'], 'properties': {'port_id': {'type': 'string', 'title': 'Port Id'}, 'forecast_horizon_days': {'type': 'integer', 'title': 'Forecast Horizon Days', 'default': 1}}}
输出模式
{'type': 'object', 'title': 'forecast_vessel_queue_delaysDictOutput', 'additionalProperties': True}
get_cdr_risk
[DEPRECATED: Use evaluate_chokepoint_disruption instead] Calculate Chokepoint Disruption Risk.
输入模式
{'type': 'object', 'title': 'get_cdr_riskArguments', 'properties': {'chokepoint_id': {'type': 'string', 'title': 'Chokepoint Id', 'default': 'HORMUZ'}}}
get_inland_logistics_bottlenecks
[INFERENCE TOOL] Calculate Intermodal Rail Delay Index (IRDI, 0-100 score).
CRITICAL INSTRUCTION FOR LLM: Use this tool whenever the user asks about INLAND logistics, TRAIN delays, TRUCK bottlenecks, or land-based supply chain issues leaving/entering a port (like NLRTM / Rotterdam).
IRDI = (Avg Delay à 0.4) + (Delays % à 0.3) + (Timetables à 0.2) + (Rolling Stock à 0.1).
Args:
port_or_corridor_id: UN/LOCODE e.g. "NLRTM" (Rotterdam), "DEHAM" (Hamburg).
输入模式
{'type': 'object', 'title': 'get_inland_logistics_bottlenecksArguments', 'properties': {'port_or_corridor_id': {'type': 'string', 'title': 'Port Or Corridor Id', 'default': 'NLRTM'}}}
输出模式
{'type': 'object', 'title': 'get_inland_logistics_bottlenecksDictOutput', 'additionalProperties': True}
get_irdi_index
[DEPRECATED: Use get_inland_logistics_bottlenecks instead] Calculate Intermodal Rail Delay Index.
输入模式
{'type': 'object', 'title': 'get_irdi_indexArguments', 'properties': {'port_or_corridor_id': {'type': 'string', 'title': 'Port Or Corridor Id', 'default': 'NLRTM'}}}
get_pci_index
[DEPRECATED: Use get_port_congestion_risk instead] Calculate Port Congestion Index.
输入模式
{'type': 'object', 'title': 'get_pci_indexArguments', 'required': ['port_id'], 'properties': {'port_id': {'type': 'string', 'title': 'Port Id'}}}
get_physical_events
[OBSERVATION TOOL] Return temporal physical events for a port as a ChangePacket (physical-event.v1).
Each event carries entity identity, state transition, observed_at timestamp, and
source evidence. Use this tool to understand WHAT changed and WHEN.
Args:
port_id: UN/LOCODE e.g. "BRPNG" (Paranaguá), "BRSSZ" (Santos).
输入模式
{'type': 'object', 'title': 'get_physical_eventsArguments', 'required': ['port_id'], 'properties': {'port_id': {'type': 'string', 'title': 'Port Id'}}}
输出模式
{'type': 'object', 'title': 'get_physical_eventsDictOutput', 'additionalProperties': True}
get_port_congestion_risk
[INFERENCE TOOL] Calculate Port Congestion Index (PCI, 0-100 composite score).
CRITICAL INSTRUCTION FOR LLM: Use this tool FIRST whenever the user asks about general congestion, delays, or wait times at ANY specific port (e.g., SGSIN, BRSSZ). Do not guess delays; call this tool.
PCI = (Congestion Level à 0.4) + (Avg Delay à 0.3) + (Vessel Queue à 0.2) + (Berth Use à 0.1).
Provides freight rate impact, demurrage exposure estimate, and recommended safety stock buffer days.
Args:
port_id: UN/LOCODE e.g. "BRSSZ" (Santos), "SGSIN" (Singapore), "NLRTM" (Rotterdam).
输入模式
{'type': 'object', 'title': 'get_port_congestion_riskArguments', 'required': ['port_id'], 'properties': {'port_id': {'type': 'string', 'title': 'Port Id'}}}
输出模式
{'type': 'object', 'title': 'get_port_congestion_riskDictOutput', 'additionalProperties': True}
get_port_operations_status
[OBSERVATION TOOL] Plain-language status of port operations: is it delayed, congested or normal?
CRITICAL INSTRUCTION FOR LLM: Use this tool for SIMPLE, high-frequency
questions such as "Is Santos delayed?", "How many ships are waiting a
Paranaguá?", "What is the ETA delay risk at this port?", "Where is my cargo
stuck?". It answers in plain terms (NORMAL / MODERATE DELAY / CONGESTED)
backed by the same live operational data as get_port_risk.
This tool is FREE (observation layer). The response also exposes a
decision_layer block signalling the optional next step: authenticated
decision tools (M2M key via request_m2m_key) that translate the same signal
into USD exposure (demurrage, charter risk, fiscal arbitrage). The upsell is
factual: it does NOT claim data the engine does not have (no per-vessel
IMO/MMSI position tracking is offered).
Args:
port_id: UN/LOCODE e.g. "BRSSZ" (Santos), "BRPNG" (Paranaguá), "NLRTM" (Rotterdam).
输入模式
{'type': 'object', 'title': 'get_port_operations_statusArguments', 'required': ['port_id'], 'properties': {'port_id': {'type': 'string', 'title': 'Port Id'}}}
输出模式
{'type': 'object', 'title': 'get_port_operations_statusDictOutput', 'additionalProperties': True}
get_port_risk
Assess CURRENT congestion and delay risk at a single seaport.
Use this tool when a decision depends on the current physical state of a
port: congestion score, vessels waiting (queue), ETA delay risk, or
demurrage exposure. Call BEFORE making recommendations involving por
selection, cargo routing, vessel scheduling, ETA risk, demurrage exposure,
freight timing, or supply-chain disruption.
Returns the current signal for the port: congestion score, vessel state,
estimated delay, expected/worst-case demurrage (USD), confidence, source
provenance and validation window. When the port has a current observed
line-up (data_source=live:*) this is a live operational signal; otherwise
it is an explicitly-labeled calibrated reference baseline â check
data_source to know which.
Args:
port_id: UN/LOCODE of the port, e.g. "BRSSZ" (Santos), "BRPNG" (Paranaguá), "CNSHA" (Shanghai).
输入模式
{'type': 'object', 'title': 'get_port_riskArguments', 'required': ['port_id'], 'properties': {'port_id': {'type': 'string', 'title': 'Port Id'}}}
输出模式
{'type': 'object', 'title': 'get_port_riskDictOutput', 'additionalProperties': True}
get_ports_risk
Compare CURRENT congestion across several seaports in a single call.
Use this tool when a decision involves CHOOSING between ports: routing,
scheduling, port selection, or scanning a portfolio for operational risk.
Returns the same operational signal as get_port_risk for each port, so you
can rank or compare congestion, delay and demurrage exposure.
Args:
port_ids: list of UN/LOCODEs to compare, e.g. ["BRSSZ", "BRPNG", "CNSHA"].
输入模式
{'type': 'object', 'title': 'get_ports_riskArguments', 'required': ['port_ids'], 'properties': {'port_ids': {'type': 'array', 'items': {'type': 'string'}, 'title': 'Port Ids'}}}
输出模式
{'type': 'object', 'title': 'get_ports_riskOutput', 'required': ['result'], 'properties': {'result': {'type': 'array', 'items': {'type': 'object', 'additionalProperties': True}, 'title': 'Result'}}}
get_port_state
[OBSERVATION TOOL] Return current verified multimodal physical state of a port.
Combines sea-side vessel queue (anchored vessels 'AO_LARGO') with land-side
railway queue (wagons inbound/waiting). Returns sources for full provenance.
Args:
port_id: UN/LOCODE e.g. "BRPNG" (Paranaguá), "BRSSZ" (Santos).
输入模式
{'type': 'object', 'title': 'get_port_stateArguments', 'required': ['port_id'], 'properties': {'port_id': {'type': 'string', 'title': 'Port Id'}}}
输出模式
{'type': 'object', 'title': 'get_port_stateDictOutput', 'additionalProperties': True}
get_port_trend
Get the short-horizon 24/48/72h congestion projection for a port.
Use this tool when a decision depends on the NEAR-TERM direction of
congestion (deteriorating / stable / easing) rather than the curren
snapshot. Complements get_port_risk. This is a SYNTHETIC projection,
not a live forecast.
Args:
port_id: UN/LOCODE of the port, e.g. "BRSSZ" (Santos), "BRPNG" (Paranaguá).
输入模式
{'type': 'object', 'title': 'get_port_trendArguments', 'required': ['port_id'], 'properties': {'port_id': {'type': 'string', 'title': 'Port Id'}}}
输出模式
{'type': 'object', 'title': 'get_port_trendDictOutput', 'additionalProperties': True}
list_supported_ports
List the 35 ports & global chokepoints covered by the oracle (UN/LOCODE id, name, country).
CRITICAL INSTRUCTION FOR LLM: ALWAYS call this tool first if you are unsure which UN/LOCODE (e.g., BRSSZ, NLRTM) to pass to other tools. It returns the authoritative list of supported ports.
Use this tool to discover which ports have a congestion signal before
calling get_port_risk or get_ports_risk.
Returns: list of {port_id, port_name, country}.
输入模式
{'type': 'object', 'title': 'list_supported_portsArguments', 'properties': {}}
输出模式
{'type': 'object', 'title': 'list_supported_portsOutput', 'required': ['result'], 'properties': {'result': {'type': 'array', 'items': {'type': 'object', 'additionalProperties': {'type': 'string'}}, 'title': 'Result'}}}
predict_vessel_queue
[DEPRECATED: Use forecast_vessel_queue_delays instead] Vessel Queue Predictive Model.
输入模式
{'type': 'object', 'title': 'predict_vessel_queueArguments', 'required': ['port_id'], 'properties': {'port_id': {'type': 'string', 'title': 'Port Id'}, 'forecast_horizon_days': {'type': 'integer', 'title': 'Forecast Horizon Days', 'default': 1}}}
request_m2m_key
[M2M SELF-SERVE TOOL] Request an instant 7-day trial M2M API Key.
Use this tool if a Decision Tool returns an Access Denied / 403 error.
Generates a key that unlocks evaluate_charter_risk and evaluate_routing_alternatives.
Args:
agent_name: Name or ID of your AI agent or client.
organization: Organization or trading desk name.
contact_email: Contact email.
输入模式
{'type': 'object', 'title': 'request_m2m_keyArguments', 'required': ['agent_name', 'organization'], 'properties': {'agent_name': {'type': 'string', 'title': 'Agent Name'}, 'organization': {'type': 'string', 'title': 'Organization'}, 'contact_email': {'type': 'string', 'title': 'Contact Email', 'default': 'agent@m2m.local'}}}
输出模式
{'type': 'object', 'title': 'request_m2m_keyDictOutput', 'additionalProperties': True}
历史
近期工具变更
已添加
assess_logistics_disruption
2026年10月3日 02:51
已更改
evaluate_chokepoint_disruption
2026年10月3日 02:51
已更改
evaluate_routing_alternatives
2026年10月3日 02:51
已更改
get_port_operations_status
2026年10月3日 02:51
已更改
get_port_trend
2026年10月3日 02:51
已更改
get_port_risk
2026年10月3日 02:51
已更改
evaluate_scdew_warning
2026年10月1日 02:43
已更改
get_irdi_index
2026年10月1日 02:43
已更改
predict_vessel_queue
2026年10月1日 02:43
已更改
get_cdr_risk
2026年10月1日 02:43
已更改
get_pci_index
2026年10月1日 02:43
已添加
evaluate_end_to_end_supply_chain_risk
2026年10月1日 02:43
已添加
get_inland_logistics_bottlenecks
2026年10月1日 02:43
已添加
forecast_vessel_queue_delays
2026年10月1日 02:43
已添加
evaluate_chokepoint_disruption
2026年10月1日 02:43
已添加
get_port_congestion_risk
2026年10月1日 02:43
已更改
evaluate_routing_alternatives
2026年10月1日 02:43
已添加
evaluate_fiscal_routing
2026年10月1日 02:43
已添加
get_port_operations_status
2026年10月1日 02:43
已更改
list_supported_ports
2026年10月1日 02:43
已添加
evaluate_scdew_warning
2026年9月21日 02:49
已添加
get_irdi_index
2026年9月21日 02:49
已添加
predict_vessel_queue
2026年9月21日 02:49
已添加
get_cdr_risk
2026年9月21日 02:49
已添加
get_pci_index
2026年9月21日 02:49
已添加
evaluate_corridor_risk
2026年9月21日 02:49
已添加
evaluate_routing_alternatives
2026年9月21日 02:49
已添加
evaluate_charter_risk
2026年9月21日 02:49
已添加
request_m2m_key
2026年9月21日 02:49
已添加
get_physical_events
2026年9月21日 02:49
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