sugestim
Related Servers
Alternatives to sugestim
No user-submitted related servers found.
Related Servers
- AlicenseNot gradedqualityCmaintenanceAdaptive security for AI agents: assess inputs for prompt injection, scan outputs for credential/PII leaks, teach new attack patterns to semantic memory, harden prompts, and monitor metrics. Runs locally via MCP stdio.Apache 2.0
- -licenseNot gradedqualityNot gradedmaintenanceEnables advanced malware development, threat intelligence analysis, and offensive security operations through specialized tools for multi-language payload generation, obfuscation, OSINT reconnaissance, and forensic analysis. Designed for authorized penetration testing, red team exercises, and cybersecurity research with comprehensive educational capabilities.-
- 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.12125 npm2Apache 2.0
- FlicenseNot gradedqualityDmaintenanceProvides comprehensive psychological intelligence capabilities including persona analysis, attachment theory assessment, relationship compatibility evaluation, and autonomous workflow strategies through a complete graph database integration.-
- AlicenseNot gradedqualityDmaintenanceEnables AI assistants to perform authorized security testing and penetration testing operations including SSL/TLS analysis, port scanning, vulnerability scanning, and HTTP security header audits through natural language interactions.1MIT
- FlicenseNot gradedqualityDmaintenanceSecurity middleware for LLM apps and AI agent pipelines. Detects prompt injection attacks (22 signatures, 7 languages) and anonymizes PII (17 entity types). Deterministic, sub-25ms, GDPR Art.30 compliant.-
TDQS
Scored across 9 tools
Each tool has a clearly distinct purpose: about introduces, build_metaphor constructs metaphors, influence_audit audits influence, meta_model_challenge challenges vague language, milton_analyze detects patterns, milton_generate generates them, pacing_leading handles pacing/leading, trance_signals deals with trance cues, and utilize reframes obstacles. No overlap.
All tool names follow a consistent verb_noun or noun_verb pattern in snake_case (e.g., build_metaphor, meta_model_challenge, milton_analyze). The only slight outlier is 'about', but it's a standard convention for introductory tools.
With 9 tools, the server is well-scoped for its domain of epistemic hygiene. It covers introduction, offense, defense, and combined tools without being too sparse or bloated.
The tool set covers the full lifecycle: overview, metaphor, audit, challenge, analysis, generation, pacing, trance signals, and reframe. It addresses both offensive and defensive aspects comprehensively, with no obvious gaps.