GSEP-MCP
OfficialRelated Servers
Alternatives to GSEP-MCP
No user-submitted related servers found.
Related Servers
- AlicenseAqualityBmaintenanceProtects AI agents from threats like prompt injection, jailbreaks, and SQL injection through a multi-layer scanning pipeline. It also enables PII redaction and rehydration to ensure data privacy during LLM interactions.12108 npm2Apache 2.0
- AlicenseNot gradedqualityCmaintenanceA security interceptor for AI agents that mitigates prompt injections and data loss in autonomous workflows.365 npm1MIT
- AlicenseNot gradedqualityAmaintenanceProtects AI agents from prompt injection attacks, jailbreak attempts, and common web vulnerabilities by screening untrusted input through semantic LLM analysis and static pattern matching.101 npm2ISC
- AlicenseBqualityBmaintenanceWAF for AI agents — block prompt injection before it reaches the LLM.593 PyPIMIT
- AlicenseNot gradedqualityDmaintenanceA local-first security system for autonomous AI agents that provides tools for security verification, goal anchoring, and action logging. It protects against prompt injection and goal drift by enforcing user-defined rules and offering performance insights through session grading.9 npmMIT
- AlicenseNot gradedqualityCmaintenanceEnables deterministic zero-trust security for AI agents, providing prompt injection protection, PII scrubbing, and policy enforcement before agentic actions reach production systems.2Apache 2.0
TDQS
Scored across 10 tools
Each tool has a distinct role in the security pipeline: scanning input, output, actions; middleware hooks; chat; status; and feedback. No two tools serve the same purpose; even similar-sounding tools like gsep_scan_input and gsep_before_llm are clearly differentiated by their descriptions.
All tools follow the 'gsep_' prefix with a verb_noun pattern (e.g., scan_input, get_status, record_feedback) or preposition_noun (before_llm, after_tool). The naming is consistent, descriptive, and predictable.
With 10 tools, the server is well-scoped for its domain of LLM security pipeline. Each tool addresses a specific step or integration point, neither too few nor too many.
The tool set covers the complete lifecycle: input scanning, action scanning, output scanning, middleware hooks for external agents, chat pipeline, status monitoring, and feedback. There are no obvious gaps for the intended purpose.