tariff-resolver

tariff-resolver

An MCP server that turns your AI assistant into a US import duty research tool — built on official USITC Harmonized Tariff Schedule data (US Government public domain, 35,000+ tariff lines).

• 🔍 HTS code candidates from plain product descriptions, with CBP CROSS ruling links
• 🧮 Landed-cost components: MFN/FTA base rates + Chapter 99 additional duties (IEEPA / Section 301 / 232) + MPF/HMF fees
• 📡 Tariff change tracking: watchlist your HTS codes, diff rates between HTS revisions
• 🤖 AI-optimized, hallucination-resistant: returns the actual Chapter 99 rule text with parsed rates, so your LLM reasons over real exception chains instead of inventing 2024-era numbers

Why now: since the de minimis exemption ended (Aug 29, 2025), every US-bound shipment needs an HTS code and duty payment — and 2025–26 rates keep changing by executive order.

Not affiliated with any government agency. Outputs are candidates/estimates for pre-broker screening — not customs, legal, or tax advice. Estimates exclude AD/CVD duties.

Install

Requires Node.js ≥ 18.

claude mcp add tariff-resolver -- npx -y tariff-resolver

Or in any MCP client config:

{ "mcpServers": { "tariff-resolver": { "command": "npx", "args": ["-y", "tariff-resolver"] } } }

💡 Try these prompts

• Basic search: "Find the HTS code for a men's 100% cotton t-shirt."
• Full scenario: "Calculate the tariff scenario for HTS 6109.10.00, origin China, customs value $5,000, ocean freight."
• Sourcing decision: "I'm importing $10k of stainless steel vacuum flasks. Compare landed cost if I source from China vs Vietnam."
• Stay current: "Watch tariff changes for my catalog: 6109.10.00, 8507.60.00, 9617.00.10."

Tools

Tool	What it does
search_hs_candidates	Product description → top HTS candidates with rates + CBP CROSS ruling links
calculate_tariff_scenario	HTS code + origin + value (+ weight) → structured JSON: base MFN/FTA rate, active Chapter 99 rules (footnote-linked / origin-matched / universal, terminated rules filtered), MPF/HMF
watch_tariff_changes	Register HTS codes to a local watchlist
check_tariff_updates	Diff current vs previous HTS revision — see exactly which rates changed
dataset_info	Data revision date, row counts, source, license

Design

The server does retrieval, your LLM does the reasoning: Chapter 99 rules are returned verbatim (with parsed adder_pct where applicable) so the model reads the actual exception chains instead of trusting a black-box calculation. Rates for 10-digit statistical suffixes inherit from their parent rate line. Terminated provisions are filtered out and counted.

Data

Ships with a full HTS snapshot (USITC official JSON API, public domain). Refresh anytime:

python3 scripts/fetch_hts.py   # ~2 min, fails hard rather than write a partial dataset

dataset_info reports the revision date your queries run against.

License

MIT. Tariff data is a work of the US Government (public domain).