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Aether-X Port Congestion Oracle

io.github.belegante-byte/aetherx-mcp
비즈니스 및 운영 데이터 및 분석 공개 · 연결 가능 MCP 2025-11-25

이 MCP로 할 수 있는 일

Provides live port congestion, vessel queues, delays, physical events, forecasts, disruption indices, routing comparisons, and demurrage exposure estimates for supply-chain decisions.

기능

도구

22 도구
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).
입력 스키마 
{'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}}}
출력 스키마 
{'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 live risk score (0-100) and war risk insurance premium impacts. CDR = (Risk Score × 0.4) + (% of Normal × 0.3) + (7-day Avg × 0.2) + (Diversion Tracking × 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).
입력 스키마 
{'type': 'object', 'title': 'evaluate_chokepoint_disruptionArguments', 'properties': {'chokepoint_id': {'type': 'string', 'title': 'Chokepoint Id', 'default': 'HORMUZ'}}}
출력 스키마 
{'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).
입력 스키마 
{'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}}}
출력 스키마 
{'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 × 0.3) + (CDR × 0.3) + (VQPM × 0.2) + (IRDI × 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".
입력 스키마 
{'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'}}}
출력 스키마 
{'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).
입력 스키마 
{'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'}}}
출력 스키마 
{'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 port - 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".
입력 스키마 
{'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'}}}
출력 스키마 
{'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.
입력 스키마 
{'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 × VQ_t + β × PCI_t + γ × CDR_t + δ × Seasonality. Args: port_id: UN/LOCODE e.g. "BRSSZ" (Santos), "BRPNG" (Paranaguá). forecast_horizon_days: Horizon in days (1 to 7, default: 1).
입력 스키마 
{'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}}}
출력 스키마 
{'type': 'object', 'title': 'forecast_vessel_queue_delaysDictOutput', 'additionalProperties': True}
get_cdr_risk
[DEPRECATED: Use evaluate_chokepoint_disruption instead] Calculate Chokepoint Disruption Risk.
입력 스키마 
{'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 × 0.4) + (Delays % × 0.3) + (Timetables × 0.2) + (Rolling Stock × 0.1). Args: port_or_corridor_id: UN/LOCODE e.g. "NLRTM" (Rotterdam), "DEHAM" (Hamburg).
입력 스키마 
{'type': 'object', 'title': 'get_inland_logistics_bottlenecksArguments', 'properties': {'port_or_corridor_id': {'type': 'string', 'title': 'Port Or Corridor Id', 'default': 'NLRTM'}}}
출력 스키마 
{'type': 'object', 'title': 'get_inland_logistics_bottlenecksDictOutput', 'additionalProperties': True}
get_irdi_index
[DEPRECATED: Use get_inland_logistics_bottlenecks instead] Calculate Intermodal Rail Delay Index.
입력 스키마 
{'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.
입력 스키마 
{'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).
입력 스키마 
{'type': 'object', 'title': 'get_physical_eventsArguments', 'required': ['port_id'], 'properties': {'port_id': {'type': 'string', 'title': 'Port Id'}}}
출력 스키마 
{'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 × 0.4) + (Avg Delay × 0.3) + (Vessel Queue × 0.2) + (Berth Use × 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).
입력 스키마 
{'type': 'object', 'title': 'get_port_congestion_riskArguments', 'required': ['port_id'], 'properties': {'port_id': {'type': 'string', 'title': 'Port Id'}}}
출력 스키마 
{'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 at 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).
입력 스키마 
{'type': 'object', 'title': 'get_port_operations_statusArguments', 'required': ['port_id'], 'properties': {'port_id': {'type': 'string', 'title': 'Port Id'}}}
출력 스키마 
{'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 port selection, cargo routing, vessel scheduling, ETA risk, demurrage exposure, freight timing, or supply-chain disruption. Returns a live operational signal (not a static port-information lookup) with congestion score, real observed vessel state, estimated delay, expected/worst-case demurrage (USD), confidence, source provenance and validation window. Args: port_id: UN/LOCODE of the port, e.g. "BRSSZ" (Santos), "BRPNG" (Paranaguá), "CNSHA" (Shanghai).
입력 스키마 
{'type': 'object', 'title': 'get_port_riskArguments', 'required': ['port_id'], 'properties': {'port_id': {'type': 'string', 'title': 'Port Id'}}}
출력 스키마 
{'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"].
입력 스키마 
{'type': 'object', 'title': 'get_ports_riskArguments', 'required': ['port_ids'], 'properties': {'port_ids': {'type': 'array', 'items': {'type': 'string'}, 'title': 'Port Ids'}}}
출력 스키마 
{'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).
입력 스키마 
{'type': 'object', 'title': 'get_port_stateArguments', 'required': ['port_id'], 'properties': {'port_id': {'type': 'string', 'title': 'Port Id'}}}
출력 스키마 
{'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 current 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).
입력 스키마 
{'type': 'object', 'title': 'get_port_trendArguments', 'required': ['port_id'], 'properties': {'port_id': {'type': 'string', 'title': 'Port Id'}}}
출력 스키마 
{'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}.
입력 스키마 
{'type': 'object', 'title': 'list_supported_portsArguments', 'properties': {}}
출력 스키마 
{'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.
입력 스키마 
{'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.
입력 스키마 
{'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'}}}
출력 스키마 
{'type': 'object', 'title': 'request_m2m_keyDictOutput', 'additionalProperties': True}
기록

최근 도구 변경

변경됨
evaluate_scdew_warning
2026년 10월 1일 2:43 AM
변경됨
get_irdi_index
2026년 10월 1일 2:43 AM
변경됨
predict_vessel_queue
2026년 10월 1일 2:43 AM
변경됨
get_cdr_risk
2026년 10월 1일 2:43 AM
변경됨
get_pci_index
2026년 10월 1일 2:43 AM
추가됨
evaluate_end_to_end_supply_chain_risk
2026년 10월 1일 2:43 AM
추가됨
get_inland_logistics_bottlenecks
2026년 10월 1일 2:43 AM
추가됨
forecast_vessel_queue_delays
2026년 10월 1일 2:43 AM
추가됨
evaluate_chokepoint_disruption
2026년 10월 1일 2:43 AM
추가됨
get_port_congestion_risk
2026년 10월 1일 2:43 AM
변경됨
evaluate_routing_alternatives
2026년 10월 1일 2:43 AM
추가됨
evaluate_fiscal_routing
2026년 10월 1일 2:43 AM
추가됨
get_port_operations_status
2026년 10월 1일 2:43 AM
변경됨
list_supported_ports
2026년 10월 1일 2:43 AM
추가됨
evaluate_scdew_warning
2026년 9월 21일 2:49 AM
추가됨
get_irdi_index
2026년 9월 21일 2:49 AM
추가됨
predict_vessel_queue
2026년 9월 21일 2:49 AM
추가됨
get_cdr_risk
2026년 9월 21일 2:49 AM
추가됨
get_pci_index
2026년 9월 21일 2:49 AM
추가됨
evaluate_corridor_risk
2026년 9월 21일 2:49 AM
추가됨
evaluate_routing_alternatives
2026년 9월 21일 2:49 AM
추가됨
evaluate_charter_risk
2026년 9월 21일 2:49 AM
추가됨
request_m2m_key
2026년 9월 21일 2:49 AM
추가됨
get_physical_events
2026년 9월 21일 2:49 AM
추가됨
get_port_state
2026년 9월 21일 2:49 AM
변경됨
list_supported_ports
2026년 9월 21일 2:49 AM
변경됨
get_port_trend
2026년 9월 21일 2:49 AM
변경됨
get_ports_risk
2026년 9월 21일 2:49 AM
변경됨
get_port_risk
2026년 9월 21일 2:49 AM
추가됨
list_supported_ports
2026년 9월 19일 2:40 AM
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