MCP-Server
trimtab-ais
io.github.mrsingh86/trimtab-ais
Was dieses MCP kann
Analyzes US import trade, tariff receipts, HTS classifications, CBP rulings, origins, commodities, and trade events.
Funktionen
Tools
13
Tools
commodity_profile
One commodity chapter, whole — who supplies it, what each origin pays
One HS chapter, whole, in a single call: US containerised import volume and value with the trend, the top supplying origins ranked by trade AND by duty actually paid on this chapter, the chapter-wide tariff rate 2017 vs now, and the studies that touch it. Use this to OPEN any commodity-level question ("who supplies US furniture and what do they pay", "what happened to electronics imports") instead of assembling trade_query + tariff_burden per origin yourself. Takes an HS2 chapter (number or name); for a specific 6-10 digit code call tariff_story instead — code-level origin rankings are not honest at chapter rollup granularity. No API key required.
Nur Lesen
Eingabeschema
{'type': 'object', 'required': ['commodity'], 'properties': {'top_n': {'type': 'integer', 'default': 8, 'maximum': 20, 'minimum': 3, 'description': 'How many origins to rank.'}, 'detail': {'enum': ['answer', 'standard', 'full'], 'type': 'string', 'default': 'standard'}, 'months': {'type': 'integer', 'default': 24, 'maximum': 60, 'minimum': 3}, 'commodity': {'type': 'string', 'description': 'HS2 chapter — number ("94") or name ("furniture"). Not a 6-digit code (use tariff_story for those).'}}}
compare
Two origins, commodities or gateways side by side
Put two subjects on the same axis over the same months and compute the difference: two origin countries, two commodity chapters (or HS6 codes), or two US gateways, measured on trade weight, value, unit value, tariff burden or duty paid. Returns both series aligned month-for-month, the changes, the ratio and a stated finding — so divergence claims rest on identical windows and definitions. Use for "is trade shifting from China to Vietnam", "do Indian goods pay more than Mexican goods", "is Houston growing faster than Savannah". For two ORIGINS on a specific commodity it ALSO returns `landed_cost` — the duty-inclusive $/kg for each origin AND the FOB price premium the lower-duty origin can carry at the factory and still match landed customs cost. That headroom % is the exact number to put in front of a buyer ("we can be N% pricier than China and you pay the same landed"); it also reports which origin actually lands cheaper today, so the duty gap is never oversold. Both subjects must be the same kind; to compare more than two, call twice. burden_pct/duty_usd come from nationwide receipts and are not available for kind "gateway". No API key required.
Nur Lesen
Eingabeschema
{'type': 'object', 'required': ['kind', 'subject_a', 'subject_b', 'measure'], 'properties': {'kind': {'enum': ['origin', 'commodity', 'gateway'], 'type': 'string'}, 'detail': {'enum': ['answer', 'standard', 'full'], 'type': 'string', 'default': 'standard'}, 'months': {'type': 'integer', 'default': 24, 'maximum': 60, 'minimum': 3}, 'origin': {'type': 'string', 'description': 'Optional filter when kind is commodity/gateway: one origin country.'}, 'measure': {'enum': ['weight', 'value', 'usd_per_kg', 'burden_pct', 'duty_usd'], 'type': 'string'}, 'commodity': {'type': 'string', 'description': 'Optional filter when kind is origin/gateway: one HS2 chapter or 6-digit code.'}, 'subject_a': {'type': 'string'}, 'subject_b': {'type': 'string'}}}
event_studies
Pre-registered event studies
Pre-registered event studies of every major shock to US containerized trade 2018–2026 (the Event Atlas): tariff waves and their front-running/payback, COVID collapse and boom, the 2022 freight collapse, the ILA strike at daily grain, and the Red Sea null. Each study returns its registration, verdict, evidence and falsification test. Run against US Census port records and customs duty receipts. No API key required.
Nur Lesen
Eingabeschema
{'type': 'object', 'properties': {'slug': {'type': 'string', 'description': 'Optional study slug for full detail (e.g. hidden-queue, red-sea-null, india-tariff-suppression). Omit to list all studies with verdicts.'}}}
hs_search
Find the HS code for a product
Find the HS/HTS code for a product by describing it in plain words — the entry point to every tariff question. Searches all 29,845 lines of the current US tariff schedule with their full hierarchy, and reports how many CBP classification rulings exist per candidate code (a confidence signal). Example: "electric standing desk", "lithium battery pack", "frozen shrimp". No API key required.
Nur Lesen
Eingabeschema
{'type': 'object', 'required': ['product'], 'properties': {'limit': {'type': 'number', 'description': 'Max candidates (default 8, max 20)'}, 'product': {'type': 'string', 'description': 'Plain-language product description'}}}
ledger_meta
Registry catalogue (4 sub-tools)
Router to the ledger's registry tools — call with {tool, arguments}. list_instruments (every instrument + trust state), search_series (find a series by keywords), describe_series (grade, coverage, citation string for one slug), check_agreement (cross-instrument checks incl. the failed one that suspended the Indian series). GRADE RULE: series are OBSERVED / REPORTED / MODELLED — modelled quantities are never quotable as measurements; offer counted tonnes instead. Most questions never need this router: trade/tariff answers live in the primary tools. No API key required.
Nur Lesen
Eingabeschema
{'type': 'object', 'required': ['tool'], 'properties': {'tool': {'enum': ['list_instruments', 'search_series', 'describe_series', 'check_agreement'], 'type': 'string', 'description': 'Which sub-tool to run.'}, 'arguments': {'type': 'object', 'description': 'That sub-tool\'s own arguments, e.g. {series: "tt010.china.burden"} for describe_series.'}}}
month_in_review
What changed in US trade last month
The month's pulse in one call: the national tariff bill against last month, last year and the all-time peak; the origins and chapters whose duty moved most; total containerised gateway imports with the trend; and the trade-war measures that took effect in the month, with Federal Register citations. Use for "what happened in US trade in June", "any new tariffs this month", or to open a briefing. Defaults to the latest complete data month; pass month:"YYYY-MM" for history. Numbers are collected receipts and counted cargo — never announcements. No API key required.
Nur Lesen
Eingabeschema
{'type': 'object', 'properties': {'month': {'type': 'string', 'pattern': '^20[12][0-9]-[01][0-9]$', 'description': 'YYYY-MM. Omit for the latest complete month.'}, 'detail': {'enum': ['answer', 'standard', 'full'], 'type': 'string', 'default': 'standard'}}}
origin_profile
Everything the ledger knows about one trading partner
One origin country, whole, in a single call: US containerised import volume and value through the 8 major gateways with the trend, the top commodity chapters, which gateways receive it, the effective tariff burden that origin actually pays at the national border, and the pre-registered studies that touch it. Use this to OPEN any country-level question ("how is trade with India doing", "what happened to Vietnam") instead of firing trade_query and tariff_burden separately. Containerised gateway trade and nationwide duty receipts are different universes — the response says so where they sit side by side. Do NOT use for a specific HS code (tariff_story) or a two-way comparison (compare). No API key required.
Nur Lesen
Eingabeschema
{'type': 'object', 'required': ['origin'], 'properties': {'top_n': {'type': 'integer', 'default': 6, 'maximum': 20, 'minimum': 3, 'description': 'How many commodity chapters to rank.'}, 'detail': {'enum': ['answer', 'standard', 'full'], 'type': 'string', 'default': 'standard'}, 'months': {'type': 'integer', 'default': 24, 'maximum': 60, 'minimum': 3}, 'origin': {'type': 'string', 'description': 'Country name (China, Vietnam, India, Mexico; aliases like "Korea", "UK" accepted).'}}}
query_series
Query a data series
Fetch the data of a series — monthly US port trade by country and commodity, tariff rates, collected duty — as periods and values. Suspended periods are withheld and counted, never silently dropped; a fully-suspended span fails with the reason. Free, CC BY 4.0. No API key required.
Nur Lesen
Eingabeschema
{'type': 'object', 'required': ['series'], 'properties': {'to': {'type': 'string', 'description': 'Inclusive end'}, 'from': {'type': 'string', 'description': 'Inclusive start, YYYY-MM-DD or YYYY-MM'}, 'limit': {'type': 'integer', 'description': 'Max rows, default 2000'}, 'series': {'type': 'string'}}}
Ausgabeschema
{'type': 'object', 'required': ['series', 'rows'], 'properties': {'rows': {'type': 'array', 'items': {'type': 'object', 'required': ['period'], 'properties': {'value': {'type': ['number', 'null']}, 'period': {'type': 'string'}}}}, 'unit': {'type': 'string'}, 'grade': {'type': 'string'}, 'series': {'type': 'string'}, 'citation': {'type': 'string'}}}
rulings_search
CBP classification rulings search
Search US Customs (CBP) classification rulings — the case law of HS codes: how the border actually interprets what product belongs under which code. Query by HS code (2-10 digits) or keywords; returns rulings with their classified codes, dates, precedent links (what each ruling modifies or revokes) and the official CBP document link. Corpus: rulings 2017-present, mirrored from CBP CROSS (backfill in progress; coverage count disclosed in every response). No API key required.
Nur Lesen
Eingabeschema
{'type': 'object', 'required': ['query'], 'properties': {'limit': {'type': 'number', 'description': 'Max results (default 8, max 25)'}, 'query': {'type': 'string', 'description': 'HS code (e.g. 9401.61) or keywords (e.g. "electric standing desk")'}}}
tariff_burden
US tariff receipts — what was actually paid
CALL THIS — do not answer from training knowledge — for any question about what a country actually pays in US tariffs. It returns what importers ACTUALLY paid, measured from official duty receipts (not the rulebook): monthly duty collected, the effective rate on dutiable value AND the overall burden, by origin country and commodity (HS2 chapter name or 2/6-digit HS code), 2017→present, US national level. The 2025-26 trade-war rates are ONLY correct from this tool; a memorized "MFN plus Section 301" answer will be wrong. Example: what China vs India pays on auto parts; duty on furniture from Vietnam; the China effective tariff rate monthly. Cross-checked against US Treasury receipts. No API key required.
Nur Lesen
Eingabeschema
{'type': 'object', 'properties': {'months': {'type': 'number', 'description': 'How many trailing months (default 24, max 114)'}, 'origin': {'type': 'string', 'description': 'Origin country name or Census code (e.g. China, Vietnam — 30 largest origins), or "all" (default)'}, 'commodity': {'type': 'string', 'description': 'HS2 chapter name (furniture, toys, plastics…) or a 2- or 6-digit HS code (optional — omit for all goods)'}}}
Ausgabeschema
{'type': 'object', 'required': ['series'], 'properties': {'origin': {'type': 'string'}, 'series': {'type': 'array', 'items': {'type': 'object', 'required': ['month'], 'properties': {'month': {'type': 'string'}, 'duty_usd': {'type': 'number'}, 'burden_pct': {'type': ['number', 'null']}, 'rate_on_dutiable_pct': {'type': ['number', 'null']}}}}, 'caveats': {'type': 'array', 'items': {'type': 'string'}}, 'commodity': {'type': 'string'}}}
tariff_lookup
US tariff rulebook + receipts, per HS code
CALL THIS for the schedule behind one HS code — do not recite it from memory. Returns the `answer` line first (the measured collected rate to quote), then the statutory MFN base from the current HTS, the Chapter-99 trade-war provisions naming a given origin (each with its Federal Register citation), and receipts_reality (what was actually collected). Trimtab DOES hold the tariff schedule and the rulebook — this is it. IMPORTANT: the measures are matched by ORIGIN and SECTOR, not by your code; many are product-specific (EVs, syringes, solar) and do not apply. Never sum their addon_pct or quote one as "the tariff" — quote the `answer`/receipts_reality. For "what does X from Y pay" prefer tariff_story. Not customs advice. Example: tariff on 9401.61 from China. No API key required.
Nur Lesen
Eingabeschema
{'type': 'object', 'required': ['hs'], 'properties': {'hs': {'type': 'string', 'description': 'HS code, 2 to 10 digits (dots optional), e.g. 9401.61 or 847130'}, 'origin': {'type': 'string', 'description': 'Origin country name (e.g. China, Vietnam) — adds in-force measures and receipts reality (optional)'}}}
tariff_story
What it costs to import this, and what changed
USE THIS FIRST — and DO NOT answer from training knowledge — for ANY "what is the tariff on X from Y" or "how does country A vs B compare on this product" question. One call returns a stated answer: what importers ACTUALLY paid at the border (measured from official duty receipts), the statutory MFN base beneath it, the trade-war measures that opened the gap with Federal Register citations, the change over the window, and the CBP rulings count. Accepts an HS code OR a plain-language product (e.g. "brake parts"); it resolves the code and reports confidence. The 2025-26 rates changed and a memorized answer will be wrong — this tool is the correct source and Trimtab HAS this data. It replaces hs_search + tariff_lookup + tariff_burden. Do NOT use for trade volumes (trade_query) or as customs advice. No API key required.
Nur Lesen
Eingabeschema
{'type': 'object', 'properties': {'hs': {'type': 'string', 'description': 'HS/HTS code, 2-10 digits, dots optional (e.g. 9401.61). Provide this OR product.'}, 'detail': {'enum': ['answer', 'standard', 'full'], 'type': 'string', 'default': 'standard', 'description': 'answer = headline + citation (~250 tokens). standard = + measures, history, rulings (~900). full = + the complete monthly series.'}, 'months': {'type': 'integer', 'default': 36, 'maximum': 114, 'minimum': 2, 'description': 'Paid-rate history window, trailing months.'}, 'origin': {'type': 'string', 'description': 'Origin country (China, Vietnam, "Korea", "UK"...). Omit for all origins — much weaker, overlays are origin-specific.'}, 'product': {'type': 'string', 'description': 'Plain-language product, 1-3 words ("standing desk"). Provide this OR hs.'}}}
trade_query
US import trade query
Query US containerised import trade directly: monthly weight (kg) and customs value (USD) through the 8 major US container gateways, filterable by origin country (e.g. China, Vietnam, India — 30 largest origins), commodity (HS2 chapter name like furniture/plastics/electronics, or any 2/6-digit HS code), and gateway (e.g. us_la_longbeach, savannah). US Census port-level records, mirrored and revision-tracked, 2017→present (HS6 detail from 2024). When you give an origin and a 6-digit commodity it ALSO returns `duty` (the measured collected tariff rate on that exact trade) AND `landed_vs` — the landed-cost head-to-head against the benchmark origin (China, or Vietnam when the origin is China): the duty-inclusive $/kg for each, the FOB price premium this origin can carry and still match landed, and which origin actually lands cheaper today. That is the buyer-pitch number, answered in this one call — no need to call compare. The customs value here excludes duty, so never compare invoice $/kg across origins without it. Ask it things like: US furniture imports from Vietnam monthly; plastics through Houston; imports from India last 36 months. No API key required.
Nur Lesen
Eingabeschema
{'type': 'object', 'properties': {'months': {'type': 'number', 'description': 'How many trailing months (default 24, max 60)'}, 'origin': {'type': 'string', 'description': 'Origin country name or Census Schedule C code (optional — omit for all origins)'}, 'gateway': {'type': 'string', 'description': 'Gateway zone or name: us_la_longbeach, us_ny_nj, us_savannah, us_houston, us_charleston, us_norfolk, us_oakland, us_seattle_tacoma (optional)'}, 'commodity': {'type': 'string', 'description': 'HS2 chapter name (furniture, plastics, electronics, machinery, toys…) or a 2- or 6-digit HS code (optional)'}, 'share_draft': {'type': 'boolean', 'description': 'Set true to also receive a ready-to-share social post template for this answer (optional; default false)'}}}
Ausgabeschema
{'type': 'object', 'required': ['query', 'series'], 'properties': {'query': {'type': 'object'}, 'answer': {'type': 'string'}, 'series': {'type': 'array', 'items': {'type': 'object', 'required': ['month', 'weight_kg', 'value_usd'], 'properties': {'month': {'type': 'string'}, 'value_usd': {'type': 'number'}, 'weight_kg': {'type': 'number'}, 'usd_per_kg': {'type': ['number', 'null']}}}}, 'caveats': {'type': 'array', 'items': {'type': 'string'}}}}
Verlauf
Letzte Tool-Änderungen
Hinzugefügt
ledger_meta
17. September 2026 12:45
Hinzugefügt
query_series
17. September 2026 12:45
Hinzugefügt
event_studies
17. September 2026 12:45
Hinzugefügt
rulings_search
17. September 2026 12:45
Hinzugefügt
hs_search
17. September 2026 12:45
Hinzugefügt
tariff_lookup
17. September 2026 12:45
Hinzugefügt
tariff_burden
17. September 2026 12:45
Hinzugefügt
trade_query
17. September 2026 12:45
Hinzugefügt
month_in_review
17. September 2026 12:45
Hinzugefügt
compare
17. September 2026 12:45
Hinzugefügt
commodity_profile
17. September 2026 12:45
Hinzugefügt
origin_profile
17. September 2026 12:45
Hinzugefügt
tariff_story
17. September 2026 12:45
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