
Scan MCP servers for hardening issues in capabilities, transport, and tool descriptions.
Create verifiable delegation chains for AI agents with scoped multi-hop authorization
Infer photo locations locally from EXIF and visual clues, privately offline.
Scan codebases for prioritized findings and export results in structured formats.
Audit AI agent permissions by scanning credential, injection, and reach risks.
Scan LLM apps for security flaws and return prioritized vulnerability findings.
Manage lightweight CRM workflows with email sequences and project scanning automation.
Learn brand voice and generate ideas, scripts, and cross-platform content.
Audit hallucinations and grounding issues in RAG pipelines.
Monitor local LLM token costs, detect abuse patterns, and expose findings to agents.
Scan code for TODO, FIXME, and XXX markers with prioritized outputs.
Provide portable long-term memory storage and recall for AI agents across sessions.
Scan codebases for TODO/FIXME items and prioritize them for CI.
Generate compliant model and system cards for AI governance frameworks automatically.
Enforce runtime tool-call policies and security scans for AI agents.
Query code structure and cross-language relationships via MCP with auditable access logs.
Build a self-hosted RAG pipeline for code search, findings, and CI integration.
Detect poisoning, embedding anomalies, and backdoor triggers in RAG corpora.