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Alternatives to ai-safety-mcp

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    Related Servers

    • A
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      A
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      Enables scanning of AI agent code for security vulnerabilities such as prompt injection, tool abuse, and data exfiltration, directly from MCP-compatible clients like Claude Code.
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      LGPL 3.0
    • A
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      Enables testing AI safety classifier robustness against query decomposition, obfuscation, and multi-agent attacks. Provides tools for full evaluation pipelines, query previews, and status checks.
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      Enables scanning LLM prompts and responses for prompt injection, jailbreaks, PII leakage, secret leakage, and other malicious content using deterministic rules, returning verdicts and safe redacted text.
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    TDQS

    B3.2/5.0

    Scored across 3 tools

    Disambiguation5/5

    Each tool addresses a clearly distinct activity: checking health/configuration, scanning text for issues, and generating a test suite outline. There is no meaningful overlap between these operations.

    Naming Consistency4/5

    All tool names share the consistent 'aisafety_' prefix and are concise, but the naming style mixes nouns (status, suite) with an action-like word (scan). 'aisafety_suite' especially omits an explicit verb such as 'generate' or 'create'.

    Tool Count5/5

    Three tools is a well-scoped count for a focused AI safety utility server. Each tool earns its place and covers a distinct core capability without unnecessary bloat.

    Completeness4/5

    The toolset covers core safety workflow needs: health check, scanning, and test suite generation. Minor gaps exist, such as the absence of a dedicated tool for detailed policy management or report retrieval, but the core surface is not incomplete.

    Maintenance

    ActivityMaintained
    ResponsivenessNo issues