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glama

anonymize-mcp

Anonymize PII and redact text for GDPR using real NLP, not just regex. Czech-first, built on ÚFAL/LINDAT (MasKIT + NameTag NER) with 80+ PII patterns. Also multilingual NER across 35+ languages, morphology (UDPipe), machine translation, and spellcheck. 6 tools. Non-commercial use only. Install: pip install anonymize-mcp

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// key findings
No credential exfiltration, no sensitive file access, no obfuscation
Static analysis found nothing flowing your secrets to unexpected places.
Open source with a license and README
Anyone can audit the code, the license is declared, and the publisher documents what it does.
// required environment variables
This server reads these from process.env. You'll be asked to provide them before it can run.
configWRAPPER_MCP_LOG_LEVEL
configUFAL_MCP_LOG_LEVEL
// full audit trail
The full breakdown of what we checked, the deductions that landed, the network hosts, the dependency advisories, and concrete fix guidance is available to verified publishers.
// improvement guidance — verified publishers only
We have 4 concrete improvements we can share with the publisher of this MCP. Each comes with specific guidance to raise the trust score.
// embed badge in your README
[![M8ven Score](https://m8ven.ai/badge/mcp/buggy1111-anonymize-mcp-1xbkfj)](https://m8ven.ai/mcp/buggy1111-anonymize-mcp-1xbkfj)
commit: 1aa6c43c1a1dd5ac71d18c680bdd2457caea92ca
code hash: 78dbb0d7399586e4d8aec0e580da90f9c9e71a82f06f563460bb2cd1fc6a616e
verified: 6/18/2026, 10:43:45 AM
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