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Anonymize MCP logo
Health: ActiveRecent health check succeeded.Last checked 9/11/2026, 8:32:41 PM

Anonymize MCP

User RatingsBe the first to rate and review this MCP server!
View Repository4 GitHub StarsTotal stargazers on GitHub for the source repository (4 stars).Visit Website
securitypiianonymizationnermultilingual

MCP server for multilingual PII anonymization, NER, morphology, translation, and spellcheck with Czech focus and zero-egress mode.

Quick Install

Automated & IDE Setup

Copy the AI prompt to install this server into Claude Code, Cursor, or another agent — or use 1-click editor setup below.

Add to CursorAdd to VS Code
We couldn’t automatically confirm this listing starts correctly

The install command below didn't complete successfully in our automated test.

uvx anonymize-mcp

Downloading cryptography (4.5MiB) Downloading pydantic-core (2.0MiB) Downloaded pydantic-core Downloaded cryptography Installed 32 packages in 17ms Traceback (most recent call last): File "/home/user/.cache/uv/archive-v0/mBg5QKCFVwzdlbUX/bin/anonymize-mcp", line 6, in <module> from anonymize_mcp.server import main File "/home/user/.cache/uv/archive-v0/mBg5QKCFVwzdlbUX/lib/python3.11/site-packages/anonymize_mcp/server.py", line 20, in <module> from mcp.server.fastmcp import FastMCP

This is an experimental automated check and can have false negatives — missing environment variables, a slow cold install, etc. It doesn’t necessarily mean something’s wrong. Last checked 1mo ago.

Manual Client & Custom JSON ConfigExpand JSON ▾

Client Config & Setup

Choose your client or environment
Target File:~/Library/Application Support/Claude/claude_desktop_config.json
claude_desktop_config.json
{
  "mcpServers": {
    "buggy1111-anonymize-mcp": {
      "command": "uvx",
      "args": [
        "anonymize-mcp"
      ]
    }
  }
}

💡 Paste the JSON block into your client's configuration file under mcpServers, then restart the application.

Install Directory Badge Claim listing Alternatives🔒 More in Security

Overview

This MCP server wraps NLP tools from LINDAT/ÚFAL to provide named entity recognition, morphology analysis, readability checking, spell correction, and translation across 35+ languages with a focus on Czech. It supports production-grade anonymization of PII using 80+ regex patterns covering multiple international standards and sectors. It includes a zero-egress local mode for fully offline processing suitable for GDPR and sensitive data compliance. Use it when you need automated PII redaction, linguistic analysis, or multilingual text processing with privacy guarantees.

Use cases

•Anonymize PII in legal, medical, banking, and research documents
•Extract named entities across 35+ languages with auto-detection
•Analyze morphology and syntax for multilingual texts
•Check readability and correct spelling for Czech texts
•Translate text between 8 supported languages with EN pivot

Key features

•Named entity recognition with NameTag for Czech and 34 other languages
•Production-grade pseudonymization with 80+ PII regex patterns
•Morphological analysis with UDPipe including POS tagging and parsing
•Readability metrics and rules for Czech
•Spell checking and diacritics correction for Czech
•Translation among 8 languages with direct and pivot pairs

Capabilities & Tool Schemas

Inspect callable tools, capabilities, and parameters exposed to AI agents by Anonymize MCP.

Extracted Tool Capabilities
Named entity recognition with NameTag for Czech and 34 other languages
Production-grade pseudonymization with 80+ PII regex patterns
Morphological analysis with UDPipe including POS tagging and parsing
Readability metrics and rules for Czech
Spell checking and diacritics correction for Czech
Translation among 8 languages with direct and pivot pairs

Documentation Overview

anonymize-mcp

CI PyPI Python License: MIT

MCP server obalující NLP nástroje LINDAT / ÚFAL MFF UK — multilingvální NER + morfologie (35 jazyků auto-detect), production-grade anonymizace s 80+ PII patterny napříč 9 sektory + mezinárodním pokrytím (US/UK/DE/FR/IT/ES/PL/RU/IN, EU VAT 28 zemí, IBAN 30+ zemí, crypto, API tokeny), překlad mezi 8 jazyky (17 přímých párů + auto EN-pivot), čitelnost a korektura.

🔒 Nově (v0.10.0): zero-egress lokální mód — plně offline anonymizace, žádný text neopustí stroj. Pro GDPR / právní / zdravotnická data. Zapnutí: ANONYMIZE_MCP_LOCAL=1.

🌐 Nechcete nic instalovat? Vyzkoušejte to online zdarma → anonymizace.js.org — anonymizace, NER, morfologie, korektor a překlad češtiny přímo v prohlížeči. Doprovodný web k tomuto MCP serveru.

Pouze pro nekomerční použití. Modely NameTag a UDPipe jsou pod CC BY-NC-SA. LINDAT API je bezplatné pro akademické a osobní použití. Pro komerční nasazení kontaktujte autory nástrojů a ufal@ufal.mff.cuni.cz.

Neoficiální komunitní projekt — není provozován ani schválen ÚFAL MFF UK; wrapper kolem veřejných LINDAT API od nezávislého vývojáře. Historie názvů: ufal-mcp → wrapper-mcp (v0.8.0, na žádost ÚFAL) → anonymize-mcp (v0.9.0). Pokud máte nainstalovaný deprecated balíček wrapper-mcp, přejděte na pip install anonymize-mcp — je to tentýž projekt.

Co umí

ToolBackendK čemu
extract_entitiesNameTag 3NER pro CZ (bohatý CNEC 2.0 tagset) + 34 dalších jazyků (UNER PER/ORG/LOC) s auto-detekcí
anonymizeMasKIT + NameTagProduction-grade pseudonymizace: regex pre-pass přes 80+ PII patternů — CZ + international (IBAN 30+ zemí, EU VAT 28, US SSN/EIN, DE/UK/FR/IT/ES/PL/RU/IN ID, crypto, API tokeny). Opt-in placeholder_mode (deterministické OSOBA1/MESTO1). 🔒 Zero-egress lokální mód (ANONYMIZE_MCP_LOCAL=1) — plně offline, viz níže.
analyze_morphologyUDPipeTokenizace, lemmatizace, POS tagging, závislostní parse — auto-detect 35 jazyků
check_readabilityPONKČitelnost CZ — 4 feature sety: metrics + rules + lexical surprise + speech acts
correct_textKorektorCZ spell checker + auto-doplnění/odstranění diakritiky
translate_textCharles TranslatorPřeklad mezi 8 jazyky (CZ/EN/FR/DE/PL/RU/UK/HI), 17 přímých párů + auto EN-pivot

Podporované jazyky — NER + morfologie (35 jazyků, auto-detect)

  • 🇨🇿 CZ · 🇸🇰 SK · 🇬🇧 EN · 🇩🇪 DE · 🇫🇷 FR · 🇮🇹 IT · 🇪🇸 ES · 🇵🇹 PT · 🇳🇱 NL
  • 🇵🇱 PL · 🇭🇺 HU · 🇷🇴 RO · 🇸🇮 SL · 🇧🇬 BG · 🇬🇷 EL · 🇭🇷 HR · 🇷🇸 SR · 🇺🇦 UK · 🇷🇺 RU
  • 🇫🇮 FI · 🇱🇹 LT · 🇱🇻 LV · 🇪🇪 ET · 🇩🇰 DA · 🇸🇪 SV · 🇳🇴 NO (Bokmål + Nynorsk)
  • 🇨🇳 ZH · 🇦🇪 AR · 🇹🇷 TR · 🇻🇳 VI · 🇮🇳 HI · 🇮🇱 HE · 🇯🇵 JA · 🇰🇷 KO · 🇹🇭 TH

Pro koho je tohle (sektory + use cases)

Stress-tested napříč 9 sektory na 12.7KB cross-sektorovém spisu — výsledek 94/94 unique PII chyceno v jednom volání. Plus international corpus 17/17 (US/UK/DE/FR/IT/ES/PL/RU/IN + crypto + akademické + fleet):

SektorUse casePII které MCP zvládne
⚖️ PrávoAnonymizace spisu před AI review, GDPR complianceJména, RČ, adresy, č.j., sp.zn., IBAN, OP, datovky
🏥 MedicínaPropouštěcí zprávy pro výzkum, statistika hospitalizacíRČ, IČZ, č. pojištěnce, kontakty lékaře — klinické kódy MKN-10 zachované
🎓 Věda / akademiePeer review, citace v publikaciORCID, Researcher ID, e-maily kolegů, granty
💳 BankovnictvíCompliance, výpisy do AI, vykazováníČ.ú., karta, IBAN, VS/KS/SS, header výpisu
🏠 Reality / katastrAnonymizace výpisů z KN, smluvLV, parcely, k.ú., vlastník + RČ + adresa
🚗 PojišťovnyLikvidace škod, AI analýzaVIN, SPZ, č. pojistky, TP, OP, RČ pojištěného
📜 NotářiNotářské zápisy pro AI summaryNZ, OP, datovka notáře, sp. zn.
📚 Studijní odděleníPotvrzení o studiu, statistika studentůUČO, studijní č., ISIC, kontakty studenta
🔬 Výzkum / NGOAnonymizace korpusu pro etiku výzkumuVše výše + zachování klinických/právních kódů

Plus 35 jazyků v multilingvální stack (legal docs SK/EN/DE/PL/UK/RU/FR/HI/ES/IT/AR + 24 dalších otestovány na NER+morfologii, auto EN-pivot pro překlad mimo přímé Charles páry). CJK jména (čínská/japonská) maskována od v0.8.4.

Sektor #10 — International

Use casePII které MCP zvládne
🌍 US/UK/DE/FR/IT/ES/PL/RU/IN dokumentySSN, NIN, Steuer-ID, NIR, Codice Fiscale, DNI, PESEL, Aadhaar, PAN, cestovní pasy (8 jazyků) — auto bez lang= parametru
💰 Crypto/Web3 outreach, smart contractsBitcoin (Legacy/P2SH/Bech32/Taproot), Ethereum, Monero, XRP, TRON
🔐 DevOps logs / API key leak detectionOpenAI, Anthropic, OpenRouter, GitHub PAT, AWS, Google, Slack, Stripe tokeny
🏢 Cross-border B2BForeign companies (SARL/SAS/GmbH/AG/Ltd/LLC/Inc/SpA/SL/Sp. z o.o.) + EU VAT (28 zemí) + IBAN (30+ zemí)

Instalace

Z PyPI (doporučeno):

Terminal
pip install anonymize-mcp

Nebo ze source:

bash
git clone https://github.com/Buggy1111/anonymize-mcp.git
cd anonymize-mcp
pip install -e .

Registrace v MCP klientovi

anonymize-mcp je standardní MCP server (stdio transport). Po registraci a restartu klienta máš k dispozici 6 nástrojů:

  • mcp__anonymize__extract_entities — multilingvální NER (35 jazyků auto-detect)
  • mcp__anonymize__anonymize — production-grade pseudonymizace CZ (regex pre-pass + stop-list + placeholder mode)
  • mcp__anonymize__analyze_morphology — morfologie 35 jazyků auto-detect (UDPipe 961 modelů)
  • mcp__anonymize__check_readability — čitelnost CZ (4 feature sety)
  • mcp__anonymize__correct_text — spell check + diakritika CZ
  • mcp__anonymize__translate_text — překlad mezi 8 jazyky

Claude Code (terminál)

Terminal
claude mcp add anonymize -s user -- anonymize-mcp

Claude Desktop

Starší Claude Desktop (Mac .app z anthropic.com, Windows .exe installer):

Edituj ~/Library/Application Support/Claude/claude_desktop_config.json (Mac) nebo %APPDATA%\Claude\claude_desktop_config.json (Windows):

config.json
{
  "mcpServers": {
    "anonymize": {
      "command": "anonymize-mcp"
    }
  }
}

Nová Claude Desktop (Microsoft Store / appx package, "Cowork" UI): k 05/2026 podporuje pouze remote MCP servery přes HTTP URL. Lokální stdio MCP servery jako anonymize-mcp zde přidat nelze.

Na Windows může být anonymize-mcp.exe mimo PATH (typicky C:\Python\Python3xx\Scripts\anonymize-mcp.exe). V configu pak použij plnou cestu.

OpenAI Codex CLI (autorem netestováno)

Edituj ~/.codex/config.toml:

toml
[mcp_servers.anonymize]
command = "anonymize-mcp"

Cursor (autorem netestováno)

Edituj .cursor/mcp.json v projektu (nebo globálně ~/.cursor/mcp.json):

config.json
{
  "mcpServers": {
    "anonymize": {
      "command": "anonymize-mcp"
    }
  }
}

Windsurf, Cline, Zed, VS Code Copilot Agent (autorem netestováno)

Stejný mcpServers JSON formát — viz dokumentace daného klienta. command: "anonymize-mcp" (případně absolutní cesta).

Použití

V Claude Code stačí napsat například:

Anonymizuj text z dokument.md v placeholder_mode a vrať mi čistou verzi.

Vytáhni z dokumentu všechny osoby, soudy a č.j.

Klient přinesl ukrajinský dokument — přelož mi ho do češtiny, najdi entity a zanalyzuj morfologii.

Projeď moje podání přes PONK — vrať aktivovaná gramatická pravidla.

Klient mi posílá text bez diakritiky z mobilu — doplň diakritiku přes Korektor.

Autor

anonymize-mcp napsal Michal Bürgermeister (@Buggy1111, michalbugy12@gmail.com) — nezávislý vývojář z ČR.

Wrapper kolem skvělých nástrojů ÚFAL MFF UK — bez NameTag, MasKIT, UDPipe, PONK, Korektor a Charles Translator by tenhle MCP server neexistoval. Díky celému ÚFAL týmu (Jana Straková, Milan Straka, Jiří Mírovský, Barbora Hladká, Silvie Cinková a další) za roky práce na production-grade NLP nástrojích pro češtinu.

Issues, PR a feedback jsou vítané na github.com/Buggy1111/anonymize-mcp.

Licence

Tento nástroj má MIT licenci (viz LICENSE).

Pod ním jsou čtyři samostatné nástroje, každý s vlastní licencí:

KomponentaAutořiLicence softwareLicence modelů
NameTag 3Jana Straková, Milan StrakaMPL 2.0CC BY-NC-SA (NON-commercial)
UDPipeMilan Straka, Jana StrakováMPL 2.0CC BY-NC-SA (NON-commercial)
MasKITJiří Mírovský, Barbora HladkáMPL 2.0(rule-based)
PONKJiří Mírovský, Silvie Cinková, Barbora Hladká + autoři podaplikací: Ivan Kraus, Arnold Stanovský, Jan Černý, Ivana Kvapilíková, Tomáš Polák, Silvie CinkováMPL 2.0(rule-based + UDPipe → CC BY-NC-SA)

Read the full README →View source on GitHub →

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Adoption & maintenance

Factual signals from GitHub, npm, and our automated checks — not a rating.

GitHub stars
4
Stargazers on the source repository.
Last commit
3mo ago
Most recent push to the default branch.
Install check
Inconclusive
Install command did not finish in our automated test.
Directory activity
2 views
Config copies, upvotes, and views on AllMCPs.

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Frequently Asked Questions about Anonymize MCP

It supports 35 languages including Czech, English, German, French, Russian, Chinese, Arabic, Hindi, Japanese, Korean, and others with auto language detection.

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Technical Specs & Signals

Category🔒Security
PricingFree
More technical detailsExpand ▾
TransportSTDIO
RuntimePython
AuthNo auth required
LicenseMIT
Last updatedAug 9, 2026
Views2
 Unique ViewsTotal visits recorded for this listing page on AllMCPs.
Installs0
 Installs & Copy ActionsTotal times users copied install commands or configuration snippets for this server.
GitHub stars4
 GitHub Star CountTotal stargazers on GitHub representing community popularity (4 stars).
Last commit3mo ago
 Last Repository CommitThe most recent commit or push recorded for this server's GitHub repository.Last commit on Jun 10, 2026
48Quality signal: Fair · 48/100How this signal is calculated ▾
Server availabilityNot measured

Not scored for repo-hosted servers — we can't reach the running server, only its GitHub page. Hosted MCP endpoints are health-checked live.

Verified ownership10/20
Documentation & tools24/30
Adoption & activity2/15
Community engagement0/10

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Scanned 24d ago via OSV.dev · anonymize-mcp (PyPI)

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