About ofac-match
OfacMatch is a .NET library and local MCP server for screening names against OFAC's SDN list. It scores potential matches and explains the name or alias and component-level comparisons, leaving compliance decisions to human reviewers.
Key features
- 01Screen names against the OFAC SDN list
- 02Score and explain potential matches
- 03Handle aliases, accents, and name variations
- 04Flag birth-year or country disagreements
- 05Load the list for offline screening
Use cases
- 01Screen borrower names during compliance review
- 02Investigate why a name triggered a match
- 03Review names with alternate spellings or aliases
- 04Use an AI client to screen and look up entries
MCP support
OfacMatch.Mcp exposes tools for screening one or multiple names, looking up SDN entries, comparing names, and retrieving list information. It runs locally and requires no API key.
Configuration
Local server config is the same for every client. Copy it into your client’s MCP config file.
We haven’t collected a package or remote endpoint for this server. Follow the instructions in the project README.
Tools
Local servers expose tools only once running on your machine, and the maintainer has not provided a tool list.
Details
From the project READMEOfacMatch
OFAC sanctions name screening for .NET that tells you why a name matched.

Try it in your browser: no install, and the names you type never leave your browser.
Why I built this
I spent ten years building title and mortgage systems at First American, including OFAC screening that stops a loan from going to someone on the Treasury's sanctions list. Name matching sounds simple until a compliance analyst asks why a name was flagged, or why a misspelled one wasn't.
Many teams still search OFAC's website by hand or rely on screening logic they can't see inside. I wanted something small and open: load the official list, score names the way OFAC describes in its own FAQ, and show the reasoning behind every score.
What it does
OfacMatch downloads the Specially Designated Nationals (SDN) list from OFAC, screens names against it, and gives each potential match a score from 0 to 100, the same scale OFAC's search tool uses. Every match comes with an explanation: which name or alias it hit, and how each part of the name paired up.
It handles the messy parts of real names: accents, LAST, First ordering, apostrophes and hyphens, titles like "Dr.", company endings like LLC or LTD (even misspelled), and aliases. If you pass a year of birth or country that disagrees with the listed record, the match is flagged rather than hidden, because that call belongs to a person.
It has no dependencies, runs inside your own process (names never leave your systems), and works on modern .NET as well as .NET Framework 4.7.2+.
I measured it on the real list rather than guessing: it finds 99.8% of 4,255 realistic misspellings and variations of listed names at a threshold of 85. The evaluation has the details, including where it still misses.
This is an early release (0.1). Feedback, bug reports and name variations that score badly are very welcome.
OfacMatch helps you screen; it doesn't make compliance decisions and isn't legal advice. A score says how alike two names are written, not whether two records are the same person. Pick your threshold from your own risk assessment and have someone review every potential match. More in Using OfacMatch responsibly.
Quick start
dotnet add package OfacMatch
using OfacMatch.Data;
using OfacMatch.Screening;
using var http = new HttpClient();
var list = await SanctionsList.DownloadAsync(http, saveToDirectory: "ofac-data");
var screener = new SanctionsScreener(list, new ScreeningOptions { MinScore = 85 });
foreach (var match in screener.Screen("Aymen Zawahri"))
{
Console.WriteLine(match.Explain());
}
Output against the SDN list published 27 October 2026:
Score 95.8 via NameParts against Primary name "AL ZAWAHIRI, Dr. Ayman"
Entry 2676: AL ZAWAHIRI, Dr. Ayman (Individual; programs: SDGT)
Full-name score 84.5; name-parts score 95.8
AYMEN -> AYMAN: similarity 0.907, sounds alike
ZAWAHRI -> ZAWAHIRI: similarity 0.946, sounds alike
How scoring works walks through this example step by step.
Screening with more context
var request = new ScreeningRequest("John Michael Doe")
{
Type = EntryType.Individual, // a borrower is a person, so skip companies and vessels
YearOfBirth = 1971, // flags matches whose listed dates of birth disagree
Country = "United States", // flags matches whose listed addresses are all elsewhere
};
var matches = screener.Screen(request);
Offline use
var list = SanctionsList.LoadFromDirectory("ofac-data"); // SDN.CSV, ALT.CSV, ADD.CSV
OFAC updates the list often. Reload it at least daily, and screen against the current list before every decision.
Use it from an AI assistant (MCP server)
OfacMatch.Mcp lets Claude, GitHub Copilot and other MCP clients screen names, look up SDN entries and explain scores. It runs locally and needs no API key.
Claude Desktop: download the extension for your computer from the latest release (ofac-match-windows.mcpb or ofac-match-mac-*.mcpb) and double-click it. No .NET or config file needed.
Claude Code plugin (adds the server plus a skill for reporting results responsibly; needs the .NET 10 SDK):
/plugin install ofac-match --marketplace krunalsolanki/ofac-match
Claude Code and other clients (needs the .NET 10 SDK):
claude mcp add ofac-match -- dnx OfacMatch.Mcp --yes
Tools: screen_name, screen_names, get_sanctions_entry, compare_names, get_list_info. See the MCP server guide for other clients and settings.
Command line
dotnet run --project samples/OfacMatch.Cli -- "Aymen Zawahri" --min 85 --yob 1951
Results on the real SDN list
From the evaluation: 600 listed parties (400 individuals, 200 companies) and 4,255 realistic variations of their names, plus 2,000 ordinary names, against the SDN list published 27 October 2026.
| Threshold | Listed parties found | Ordinary names that alert |
|---|---|---|
| 80 | 99.9% | 83.4% |
| 85 | 99.8% | 47.9% |
| 90 | 99.8% | 15.9% |
| 95 | 99.5% | 3.8% |
Variations tested: exact, surname first, lower case without punctuation, one wrong letter, two letters swapped, one letter missing, different transliteration, joined particles ("ALZAWAHIRI"), middle name left out, and changed company suffix.
Two things surprised me in these numbers. First, screening on a name alone alerts a lot: about half of ordinary two-part names look like something on the list, and a few are spelled exactly like a listed person. Date of birth and country are what let a reviewer clear those quickly. Second, moving the threshold from 85 to 90 cut alerts by two thirds without losing any of these variations, so the threshold deserves a deliberate choice rather than a default.
You can re-run it yourself:
dotnet run -c Release --project eval/OfacMatch.Evaluation -- --data ofac-data --out docs/evaluation.md
Documentation
| Guide | What it covers |
|---|---|
| Why OfacMatch | Benefits and comparison with other options |
| How scoring works | Every step, with a worked example |
| API and configuration reference | Types, options and defaults |
| Using OfacMatch responsibly | Thresholds, review, record keeping, limits |
| Evaluation | Full results by variation and setting |
| MCP server | Using OfacMatch from AI assistants |
What's next
Things I'd like to work on, roughly in order:
- Evaluation on the real list
- Give rare words more weight ("CUBA" should count more than "BANK"), to cut alerts on common names
- Catch typos at the start of company endings ("LTMITED")
- Support OFAC's Consolidated (non-SDN) list and the Advanced XML format
- Faster batch screening
- An ASP.NET Core sample and a
dotnet toolpackage
If you'd like to help with any of these, or have a case that scores badly, open an issue. CONTRIBUTING.md has the details.
Citation
If you use OfacMatch in research or a write-up, please cite the paper:
Solanki, K. (2026). Explainable Name Screening Against the OFAC SDN List: An Open Implementation and Reproducible Evaluation (preprint). Zenodo. https://doi.org/10.5281/zenodo.23930926
@misc{solanki2026ofacmatch,
author = {Solanki, Krunal},
title = {Explainable Name Screening Against the {OFAC} {SDN} List: An Open Implementation and Reproducible Evaluation},
year = {2026},
publisher = {Zenodo},
note = {Preprint},
doi = {10.5281/zenodo.23930926},
url = {https://doi.org/10.5281/zenodo.23930926}
}
To cite the software itself:
Solanki, K. OfacMatch: explainable OFAC sanctions name screening (software). Zenodo. https://doi.org/10.5281/zenodo.23926803
Both DOIs always point to the latest version; each version also has its own DOI on Zenodo. GitHub's Cite this repository button gives the paper citation in other formats.
Credits
Built by Krunal Solanki. The idea and the compliance background come from my work on OFAC screening in mortgage lending.
Privacy Policy
OfacMatch collects nothing. Names you screen are processed on your own computer, or in your browser for the web page, and are never sent anywhere. The only network request is the download of the public SDN list from OFAC, which is cached locally. Full details: PRIVACY.md.
Data
The SDN list is published by the U.S. Department of the Treasury's Office of Foreign Assets Control. OfacMatch downloads it from OFAC's Sanctions List Service and does not redistribute it. The unit tests use fictional names only.
License
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