ai-guardrail-mcp
Related Servers
Alternatives to ai-guardrail-mcp
No user-submitted related servers found.
Related Servers
- AlicenseNot gradedqualityAmaintenanceEnables MCP clients to scan tool manifests and server configs for prompt injection, tool poisoning, excessive agency, and other OWASP-mapped security issues directly through the scan_mcp_manifest tool.44 npm1MIT
- FlicenseNot gradedqualityCmaintenanceEnables users to validate MCP servers, skills, extensions, and packages for schema, security, functional, and semantic quality directly from their MCP client.-
- FlicenseNot gradedqualityBmaintenancePolicy-as-code gate for AI-SDLC, providing MCP tools to review prompts, diff tool manifests, vet MCP servers, and run evaluation suites for LLM agent repos.1-
- AlicenseAqualityAmaintenanceEnables agents and CI pipelines to audit MCP servers and agent tool-chains by statically scanning repositories, local checkouts, tools/list exports, or live endpoints for risks such as destructive actions without confirmation, mismatched safety annotations, injection surfaces, credential or PII exposure, and unguarded command, path, or URL sinks. All checks are read-only and never execute the scanned code or call tools/call.3MIT
- AlicenseNot gradedqualityAmaintenanceThis MCP server enables security auditing for MCP configurations and AI agents, including prompt injection testing, data flow tracing, and security policy generation.16 npmMIT

commit-check-mcpofficial
AlicenseAqualityAmaintenanceEnables validation of commit messages, branch names, author info, push safety, and repository state using commit-check rules, accessible as MCP tools.8142 PyPI1MIT
TDQS
Scored across 3 tools
The three tools have clearly distinct purposes: status/health checking, text scanning, and test suite generation. There is no overlap or ambiguity between them, making tool selection straightforward.
All tool names follow a uniform aiguard_ prefix pattern with a single lowercase descriptive word. This consistent naming convention makes the tool set predictable and easy to navigate.
Three tools is a compact but reasonable size for a focused guardrail utility. Each tool has a distinct purpose, though the set could potentially be slightly expanded with additional related operations without feeling bloated.
The tools cover health/status, text scanning, and test outline generation, but notable gaps exist—there is no policy management or execution capability for the generated test suite. Specifically, aiguard_suite creates an outline with no way to run it, creating a dead end in the workflow.