healthsec-mcp
Related Servers
Alternatives to healthsec-mcp
No user-submitted related servers found.
Related Servers
- AlicenseAqualityBmaintenanceSecurity co-pilot for AI agents. Scans for vulnerabilities like prompt injection, infinite loops, and token bombing in AI Agents, audits MCP servers, verifies AGENTS.md governance, and generates EU AI Act compliance reports.1087 npm3Apache 2.0
- AlicenseBqualityDmaintenanceEnables security teams to run controlled adversarial penetration tests against authorized ML/LLM API endpoints, scoring responses and generating evidence for compliance frameworks such as SOC 2, ISO 27001, and GDPR.62MIT

AgentAuditofficial
AlicenseAqualityDmaintenanceEnables AI agents to scan MCP servers and AI packages for vulnerabilities, prompt injection, and supply chain attacks.7107 npmAGPL 3.0- AlicenseNot gradedqualityBmaintenanceEnables LLMs and AI agents to perform defensive security posture assessments, privilege escalation surface audits, and post-quantum cryptography readiness checks through read-only diagnostic tools.MIT
- AlicenseNot gradedqualityDmaintenanceSecurity scanning for AI agent skills, MCP servers, and agent prompts, returning signed trust scores and detailed findings.MIT

Rigour MCPofficial
AlicenseNot gradedqualityBmaintenanceEnables AI agents to self-govern by scanning code for hardcoded secrets, structural violations, and AI drift in real-time, providing fix packets for automatic remediation.27MIT
TDQS
Scored across 10 tools
Each tool has a clearly distinct purpose targeting different security assessment areas (attack types, scoring, compliance, audit, reporting). There is no overlap that would confuse an agent.
All tool names follow a consistent snake_case verb_noun pattern (e.g., run_fgsm, score_compliance). The naming is descriptive and predictable.
With 10 tools covering adversarial attacks, scoring, compliance, audit, and reporting, the count is well-scoped for its domain. Each tool earns its place without being excessive.
The tool surface covers core security assessment workflows (attacks, scoring, reports) but lacks explicit model registration tools; models are assumed pre-registered, which is a minor gap.