Skip to main content
Glama
kpshinnik

docs-masked

by kpshinnik
OverviewSchemaSourceRelated ServersDiscussionsAdmin
Python
Local

Related Servers

Alternatives to docs-masked

No user-submitted related servers found.

    Related Servers

    • pseudonym-mcp

      woladi
      A
      license
      A
      quality
      A
      maintenance
      Local pseudonymisation MCP server that detects PII in text, replaces it with opaque tokens before sending to cloud LLMs, and restores tokens afterward.
      2
      199 npm
      2
      MIT

    • pii-anonymizer

      kofi-sketch
      F
      license
      Not graded
      quality
      D
      maintenance
      MCP server for automatic detection and redaction of PII in text, with anonymization and deanonymization capabilities, all local processing.
      1
      -

    • wardcat-mcp

      oguzhantopcu0
      A
      license
      A
      quality
      B
      maintenance
      MCP server providing on-prem PII detection and anonymization tools (scan and is_sensitive) for AI agents, ensuring data stays local.
      4
      MIT

    • pii-mcp

      nephilimdie
      F
      license
      Not graded
      quality
      C
      maintenance
      MCP server for anonymizing and deanonymizing PII through the Pseudora API, enabling safe sharing of sensitive text with AI assistants.
      -

    • phi-redact-mcp

      Rinava
      A
      license
      A
      quality
      A
      maintenance
      An MCP server that redacts PII/PHI from text before it ever reaches an LLM — self-hosted, fail-closed, and HIPAA-aware.
      3
      MIT
    Deploy Server
    One endpoint for every MCP toolRayrun runs every MCP server behind one URL and holds the credentials. Each call is decided per client, tool, and argument, then recorded.ray.runAd

    TDQS

    A3.5/5.0

    Scored across 6 tools

    Disambiguation5/5

    Each tool targets a distinct operation (mask vs unmask, text vs file) and the descriptions clearly differentiate text vs document variants. No two tools could be confused for the same purpose.

    Naming Consistency5/5

    All tool names follow a consistent verb_noun pattern using snake_case: mask_text, unmask_text, verify_text, scan_document, mask_document, unmask_document. The verbs are predictable and the nouns clearly indicate the resource type.

    Tool Count5/5

    With exactly 6 tools, the server is well-scoped for the domain of personal data masking/unmasking. Each tool serves a necessary role without redundancy, covering both text and document workflows in a focused manner.

    Completeness5/5

    The tool surface covers the full lifecycle: mask (text+document), unmask (text+document), verification, and preview. There are no obvious gaps—the server provides everything needed to protect and restore personal data in both free text and structured documents.

    Maintenance

    ActivitySlowing
    ResponsivenessNo issues

    Resources