Skip to main content
Glama
strac-io

Strac MCP DLP

Official
by strac-io

Related Servers

Alternatives to Strac MCP DLP

No user-submitted related servers found.

    Related Servers

    • 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
      507 npm
      2
      Cryptographic Autonomy 1.0 (Combined Work Exception)
    • A
      license
      Not graded
      quality
      F
      maintenance
      Scans files, directories, and environment configurations for exposed secrets, API keys, and credentials, redacting matches and providing allowlist support. Enables natural-language secret detection in projects and CI/CD integration via CLI.
      115 npm
      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
      10 npm
      MIT
    • A
      license
      A
      quality
      C
      maintenance
      Scans diffs, files, and snippets for leaked secrets like AWS keys, GitHub tokens, and private keys, returning redacted findings while running fully locally without network calls.
      1
      MIT
    • A
      license
      Not graded
      quality
      A
      maintenance
      Scans text and files for common secrets (AWS, GitHub, etc.) and redacts them to prevent credential leakage in AI-assisted development. Runs entirely locally with no telemetry.
      12 PyPI
      MIT

    TDQS

    A4/5.0

    Scored across 5 tools

    Disambiguation5/5

    Each tool has a clearly distinct purpose: detect vs. redact, text vs. file, and detokenize for vault resolution. The detect/redact pair on text and file is well-differentiated by descriptions and output behavior.

    Naming Consistency4/5

    Most tools follow a readable verb_noun pattern like redact_text, detect_file, and redact_file. detect_sensitive_data fits the pattern too, though it names the data type rather than the input kind, and detokenize is a single verb rather than verb_noun.

    Tool Count5/5

    With five tools, the server is tightly scoped without being thin. Each tool covers a distinct operation that earns its place in the DLP workflow.

    Completeness4/5

    The set covers detect and redact for both text and files, plus detokenization for authorized recovery. A minor gap is that token creation is not explicitly surfaced as its own tool, but redaction likely handles that internally, so core workflows are covered.

    Maintenance

    ActivityMaintained
    ResponsivenessNo issues