US import duty research: HTS codes, Chapter 99 duties, MPF/HMF fees, landed cost. USITC data.
Runs on your machine from its package; the steps are below.

At most: only reads or looks up information.
Odel charges nothing per call. The publisher may charge for its own service.
Runs locally over stdio
This server isn't hosted — your MCP client launches it from a package registry. Use one of the commands below, or drop the config into your client (e.g. Claude Desktop).
Run
npx -y tariff-resolver
MCP client config
{
"mcpServers": {
"tariff-resolver": {
"command": "npx",
"args": [
"-y",
"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).

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.
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"] } } }
Claude Desktop (one-click): download tariff-resolver-<version>.mcpb from Releases and double-click it — no terminal needed.
| 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, candidate Chapter 99 layers with per-layer match/confidence, sourced possibly_expired bucket, 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 |
The server does the 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. Headings the schedule marks as dead — terminated, suspended, expired — are filtered out and counted, and the USITC's own compiler_note rides along with any rule that carries one.
Status overrides. data/status_overrides.json is a short, sourced list of Chapter 99 headings whose collection has stopped, expired, or been suspended even though the schedule still prints them. A layer matching an entry is returned under possibly_expired with the entry's status, reason, source URL and as_of date instead of in layers. Every entry carries a CBP, Federal Register or USITC source; pull requests adding entries must include one.
What the data cannot tell you. The published schedule is wrong in both directions at any given moment, so every result carries a stacking_warning and the snapshot date. Provisions whose collection has already stopped keep printing with no end date — IEEPA and Section 122 headings are the recurring case — and newly proclaimed actions appear in the schedule days after they take effect. Totalling every layer the schedule prints yields a rate nobody is charged. Treat the layers as candidates, and verify collection status against CBP CSMS messages before relying on a stack.
One core, two front doors. All duty logic lives in tariff-resolver/core (pure TypeScript, no filesystem or network): resolveDuty(dataset, { hts, origin, value_usd?, ocean? }) — origin takes an ISO-3166 alpha-2 code or an English country name — returns the base line, separate MPF/HMF, every candidate Chapter 99 layer with match and confidence, a sourced possibly_expired bucket, and the snapshot date. The MCP tool calls it; so can any Node or edge runtime. A country name that is not recognised returns the ORIGIN_UNKNOWN error rather than a partial match, so a misspelled origin can never quietly resolve to a thinner stack of layers.
Ships with a full HTS snapshot, fetched from USITC's official JSON API (US Government 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.
tariff-resolver runs entirely on your machine and collects nothing:
scripts/fetch_hts.py refresh script contacts only the official USITC API.)Full policy: https://opsloft.dev/privacy
MIT. Tariff data is a work of the US Government (public domain).