"AirPlay Audio" matching MCP servers:

Enables users to statically analyze regular expressions for catastrophic-backtracking (ReDoS) risk through real AST parsing rather than executing the pattern, flagging nested quantifiers, ambiguous alternation, and backreferences. It also generates candidate proof-of-concept attack strings with a timeout-guarded test snippet and suggests JavaScript-safe rewrites.

MCP server for BeYourself, enabling AI agents to analyze text, code, and audio for AI-generated patterns, batch score documents, retrieve flagged sections, and process audio into stems and MIDI.

Enables users to audit Dockerfiles for container-security anti-patterns, including missing USER, baked-in secrets, curl | sh / wget | bash, unpinned base images, and ADD with remote URLs. It parses Dockerfile structure to return risk levels and actionable fixes.

Enables users to scan AI agent skills and configuration files for hidden Unicode instructions, prompt injection, download-and-execute payloads, exfiltration patterns, and overly broad permissions before installation. It provides static audit tools for skill files, agent configs, and revealing hidden text without executing or fetching the input.

Enables scanning arbitrary text and added lines in unified git diffs for accidentally committed credentials, using precise vendor-format matches and entropy-based detection. All detected secrets are redacted before results are returned, helping coding agents and developers catch leaks without exposing full values.

Enables automated security code auditing using LLM and MCP, including AST parsing, taint analysis, dataflow tracing, and automated PoC generation for multi-language codebases.

Enables coding agents to audit a Next.js codebase read-only, checking routes, Prisma models, environment variables, and locale consistency via MCP tools.

A multi-agent system that scans a JavaScript or TypeScript source file for unbalanced addEventListener calls, flags memory-leak vectors, and produces a validated patch via a Gemini LLM.

Enables static auditing of Pine Script v6 strategies to catch backtest-vs-live divergence traps before deployment, returning specific lines and plain-English explanations. It identifies fill-timing, ATR-smoothing, lookahead bias, VWAP-anchoring drift, exit-drift, and v6 syntax issues.

Enables an AI agent to statically triage local binaries and APKs by extracting and classifying strings, flagging hardcoded secrets, detecting file types, checking exploit-mitigation flags, and auditing Android manifests. Results from all tools can be merged into a single structured report with a summary findings list.

Scores MCP tool definitions and tool lists from 0-100, flagging vague descriptions, missing parameter docs, non-verb-first naming, oversized enums, and nested schemas with severity, rationale, and concrete fixes. It also validates marketplace listings against platform character caps such as MCPize's 500-character short-description limit before deploy.

Detects leaked credentials in source code with tools to scan text, files, and directories for API keys, tokens, and private keys across 30+ providers.

Enables exact Claude API cost estimation from token counts with correct prompt-cache economics, plus cache break-even analysis showing whether and at which TTL reusing a prefix pays off. It also scans source code for tiktoken-based token counting used alongside Claude models and points to the correct fix.

Enables static security scanning of MCP servers, AI agent skills, and plugins by detecting attack patterns across severity levels and producing SARIF output for GitHub Code Scanning.

A high-precision logical vulnerability auditing tool that uses MCP and CodeGraph for automated 0-day discovery and verification in multi-language codebases.

Static audit of Kubernetes manifests via MCP, powered by kube-linter. Returns structured reports with severity, check ID, category, message, and remediation hints.

MCP server that enables AI coding assistants to audit repositories against engineering rules, generating self-contained HTML reports with citations and optional GitHub issue filing.

Lets developers and MCP agents run deterministic local HTML audits, turning inline HTML into structured findings for missing labels, unnamed buttons, skipped headings, ambiguous links, duplicate IDs, and missing landmarks. It also exposes a rule list and returns stable, actionable reports without external API keys.

MCP server that audits npm dependencies against the live registry, providing per-dependency reports on versions behind, deprecation, and license.

An advanced, AI-powered Model Context Protocol (MCP) server that acts as a comprehensive Growth Auditor, SEO Optimizer, and Code Fixer.