Sandbox Code Auditor MCP
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- FlicenseNot gradedqualityAmaintenanceEnables AI agents to scan code for security vulnerabilities before execution, supporting Python and JavaScript/TypeScript with deterministic AST-based analysis and optional Solana micropayments.-
- AlicenseNot gradedqualityCmaintenanceFull-stack security for AI agents — static analysis + MCP runtime interception. 31 rules detect prompt injection, data exfiltration, backdoors, tool poisoning, and cross-file attack chains. Includes MCP proxy for real-time blocking, Python AST taint tracking, multi-language injection detection (8 languages), and AI-powered deep analysis. Free, offline, zero-config.24 npm15MIT
- AlicenseNot gradedqualityBmaintenanceEnables AI agents to run cybersecurity reconnaissance and analysis tools through controlled containerized sandboxes, with input validation, policy allowlists, timeouts, structured JSON output, and immutable audit logging.MIT
- AlicenseBqualityDmaintenanceProvides local, dependency-free security scanning tools for LLM configurations, prompts, RAG sources, and more, enabling AI coding agents to detect prompt injections and other vulnerabilities without external network access.8MIT
- AlicenseNot gradedqualityCmaintenanceReal security scanners for AI coding agents — SAST (441 rules), secret detection (419+ patterns), dependency CVEs (OSV.dev), MCP/skill vetting, MITRE ATT&CK. Open-source, Rust, free6 npmApache 2.0
- AlicenseNot gradedqualityCmaintenanceEnables AI coding agents to perform static security linting for issues like dynamic eval, secret leaks, and insecure regexes, plus sub-millisecond AST symbol search across large repositories through the Model Context Protocol. It offers a zero-dependency, pure ESM runtime suited to high-concurrency agent workflows.1Apache 2.0
TDQS
Scored across 5 tools
Each tool targets a completely distinct artifact and vulnerability class (Python AST escape, SQL taint, regex ReDoS, Seccomp BPF, CORS headers). There is no realistic scenario where an agent would confuse one for another, and the descriptions reinforce the boundaries.
All five names follow a strict snake_case pattern of <domain>_<subject>_<agent-noun>, e.g. python_ast_sandbox_escape_detector, regex_redos_exponential_scanner. The convention is applied uniformly with no stylistic deviations.
Five tools is a well-scoped set for a focused security-audit server, with each tool covering a distinct check. No tool feels redundant or missing for the stated surface.
The surface covers several sandbox-relevant classes (escape, SQLi, ReDoS, seccomp, CORS) but omits common adjacent checks like shell injection, deserialization/pickle, and path traversal. Agents can work around these gaps, and notably one tool generates filters while the rest audit, a minor asymmetry.