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Alternatives to mahrem-mcp

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    Related Servers

    • A
      license
      A
      quality
      A
      maintenance
      Enables an AI assistant to redact text and, more importantly, files without reading them, since file redaction and restoration happen locally and only counts are reported, keeping personal data out of the conversation. It exposes tools for redacting text, writing a redacted copy of a UTF-8 file with an owner-only restore mapping, and putting original values back offline.
      3
      MIT
    • A
      license
      Not graded
      quality
      B
      maintenance
      Enables AI agents to browse and read files from allowlisted folders while names, IDs, contacts, and secrets are replaced with consistent tokens locally before the agent ever sees them. The agent's final answer can then be restored to the original values locally, with no write tools and no file contents leaving the machine.
      40 npm
      MIT
    • A
      license
      A
      quality
      A
      maintenance
      Lets AI assistants work on sensitive files by reasoning over schemas and masked output while deterministic local code handles raw data, never exposing real values to the model.
      5
      23 PyPI
      MIT
    • A
      license
      A
      quality
      A
      maintenance
      Sanitizes text and files by removing PII, secrets, and custom patterns locally before sending to LLMs, with optional reverse-scrubbing.
      3
      744 npm
      2
      MIT
    • A
      license
      A
      quality
      D
      maintenance
      Provides local anonymization of Czech legal documents by replacing sensitive entities with pseudonyms to ensure privacy during LLM interactions. It allows users to safely process documents like contracts and judgments by keeping original data offline and facilitating local deanonymization.
      5
      5
      MIT
    • A
      license
      A
      quality
      B
      maintenance
      Anonymizes documents via the Stript desktop app locally, ensuring personal data never enters the conversation. Provides tools to anonymize files and clipboard content, fetch results, and restore original values to local files.
      5
      11 npm
      MIT

    TDQS

    B3.3/5.0

    Scored across 4 tools

    Disambiguation5/5

    Each tool maps to a distinct stage in the masking workflow: scan for warnings, mask to produce placeholders, restore to reinsert values, and forget to clean up session state. Although scan and mask both operate on local files, their outputs and purposes are clearly differentiated.

    Naming Consistency5/5

    All four names follow a consistent snake_case verb_noun pattern (scan_file, mask_file, restore_file, forget_session), making the set predictable and easy to navigate.

    Tool Count5/5

    Four tools is well-scoped for a focused privacy-preserving file workflow; each tool earns its place without redundancy.

    Completeness4/5

    The set covers the core lifecycle of scan, mask, restore, and cleanup, but lacks any tool to list or inspect active sessions/placeholder mappings, which could be a minor gap for multi-file use.

    Maintenance

    ActivityMaintained
    ResponsivenessNo issues