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docs-masked

De-identifies documents locally before sending to an LLM, then restores the original text.

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docs-masked preview

docs-masked is a skill, MCP server and CLI that locally de-identifies a document before it's sent to a language model — replacing personal data with stable tags like PERSON_1 — and restores the original values locally once the response comes back, so the document never leaves the machine in its original form. It targets people who need an LLM's help with documents containing personal data without exposing that data to the model provider.

Categories
Privacy & SecurityAI Agent Tools

Full match profile

Behind the summary, Matchbox keeps a richer profile of docs-masked - the signals our matcher actually reads to decide when to surface it. It stays private; claim the listing to see and control it.

  • Problem & pain-point mapping
  • Who we surface it to (audience fit)
  • What it's a strong alternative to
  • Trust & credibility signals

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