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Alternatives to Anonymix MCP

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    Related Servers

    • A
      license
      Not graded
      quality
      C
      maintenance
      Enables irreversible anonymisation of documents and spreadsheets (PDF, Word, PowerPoint, HTML, Excel, CSV) into consistent pseudonymised Markdown before they reach an AI, keeping names, national IDs, bank details and contact data unrecoverable. Runs as a free online HTTP endpoint needing no key, or locally with the full engine bundled so nothing leaves the machine.
      MIT
    • F
      license
      Not graded
      quality
      B
      maintenance
      Enables Claude to work on documents containing personal data by pseudonymizing names, addresses, IBANs, health data and other GDPR categories locally before they are sent, then restoring the real values on your own machine. Supports Word, Excel, PowerPoint, PDF, CSV, Markdown, e-mail and other formats with consistent pseudonyms per project and no data leaving the computer.
      -
    • A
      license
      Not graded
      quality
      B
      maintenance
      Enables local, on-device legal document analysis including clause extraction, risk flagging, compliance checking, and clause-level version comparison without sending documents externally.
      19 npm
      1
      MIT
    • A
      license
      A
      quality
      C
      maintenance
      Enables law firms and legal professionals to turn Arabic and English contract files into structured, citable context, with clause segmentation, date conversion across Hijri and Gregorian calendars, party extraction, and anchor-based verification, all without API keys or network calls.
      6
      MIT
    • A
      license
      A
      quality
      A
      maintenance
      Privacy layer for healthcare AI agents. Pseudonymises patient identifiers (NHS numbers, names, dates of birth, addresses; UK and US) into labelled tokens locally before text reaches an agent, then restores the originals afterwards, keeping the token map out of agent context.
      7
      8
      MIT No Attribution
    • A
      license
      A
      quality
      C
      maintenance
      Enables local, in-memory de-identification of PII, PHI, and credentials with deterministic reversible surrogate tokens before LLM transmission, then restores originals from volatile session mappings and audits for exposures without network egress or disk writes.
      5
      47 npm
      Apache 2.0

    TDQS

    A4.1/5.0

    Scored across 5 tools

    Disambiguation5/5

    Each tool has a clearly distinct purpose with no overlap: anonymize_file handles file processing, anonymize_text processes raw text, deanonymize reverses the process, get_status provides server information, and start_gui launches a visual interface. The descriptions clearly differentiate between file vs text processing, anonymization vs deanonymization, and operational vs administrative functions.

    Naming Consistency5/5

    All tools follow a consistent verb_noun pattern with clear, descriptive names: anonymize_file, anonymize_text, deanonymize, get_status, start_gui. The naming convention is uniform throughout, using snake_case consistently and clearly indicating each tool's primary action and target.

    Tool Count5/5

    Five tools is perfectly appropriate for this document anonymization server. The set covers the core workflow (anonymize files/text, deanonymize), provides operational visibility (get_status), and offers a user-friendly interface option (start_gui). Each tool has a clear purpose and contributes meaningfully to the server's functionality without redundancy.

    Completeness4/5

    The tool set covers the essential anonymization workflow comprehensively: input processing (both file and text), reversal capability, system status, and a GUI option. The only minor gap is the lack of batch processing capabilities or configuration management tools, but agents can work around this by iterating through individual files. The core lifecycle of anonymize → deanonymize is fully supported.

    Maintenance

    ActivityInactive
    ResponsivenessNo issues