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Related Servers

Alternatives to GSEP-MCP

No user-submitted related servers found.

    Related Servers

    • A
      license
      A
      quality
      B
      maintenance
      Protects 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.
      12
      108 npm
      2
      Apache 2.0
    • A
      license
      Not graded
      quality
      C
      maintenance
      A security interceptor for AI agents that mitigates prompt injections and data loss in autonomous workflows.
      365 npm
      1
      MIT
    • A
      license
      Not graded
      quality
      A
      maintenance
      Protects 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 npm
      2
      ISC
    • A
      license
      Not graded
      quality
      D
      maintenance
      A 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 npm
      MIT
    • A
      license
      Not graded
      quality
      C
      maintenance
      Enables deterministic zero-trust security for AI agents, providing prompt injection protection, PII scrubbing, and policy enforcement before agentic actions reach production systems.
      2
      Apache 2.0

    TDQS

    A4/5.0

    Scored across 10 tools

    Disambiguation5/5

    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.

    Naming Consistency5/5

    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.

    Tool Count5/5

    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.

    Completeness5/5

    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.

    Maintenance

    ActivityInactive
    ResponsivenessNo issues