ai-safety-mcp
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- AlicenseNot gradedqualityCmaintenanceEnables structured robustness and security testing by scanning text for policy/safety issues and generating test suite outlines.ISC
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- AlicenseNot gradedqualityAmaintenanceEnables 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.2LGPL 3.0
- AlicenseBqualityDmaintenanceEnables testing AI safety classifier robustness against query decomposition, obfuscation, and multi-agent attacks. Provides tools for full evaluation pipelines, query previews, and status checks.45MIT
- AlicenseNot gradedqualityAmaintenanceEnables 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.1MIT
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TDQS
Scored across 3 tools
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.
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'.
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.
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.