"p5.js" matching MCP servers:

Chrome browser JS reverse engineering MCP tool for CTF/Web security, enabling dynamic analysis and restoration of login encryption logic.

Agent-native "safe to ship?" security gate for AI-generated code. Uses real parsers and inter-rocedural taint analysis (JS/TS, Python, Go) to flag the classes AI coding agents get wrong — secrets, SQL injection, SS, SSRF, path traversal, command injection, weak JWT/CORS — and ranks findings by confidence. Exposes a scan tool over MCP.

The js hook toolkit that all you need

A local MCP server that scans repository dependencies for known vulnerabilities (CVEs) using OSV.dev, enriches findings with NVD and CISA KEV data, and supports triage, remediation, and accepted risk management directly from an AI coding assistant.

An intentionally vulnerable MCP server for security training, simulating a fictional company with 28 vulnerable tools and 38 challenges to learn AI agent attack and defense.

A JavaScript reverse engineering MCP server that enables AI coding assistants to debug and analyze JavaScript code in web pages.

Enables MCP-compatible agents to submit source code for automated SAST/SCA security audits paid via x402 USDC micropayments on Base, returning structured vulnerability findings, CWE IDs, and optional remediated code patches.

MCP server that wraps URLFinder and JSFinder to extract URLs, JavaScript files, subdomains, and sensitive information from web pages, with support for batch scanning and deep crawling.

Enables natural language control of Cobalt Strike (version 4.8) via Claude, supporting beacon listing, command execution, payload generation, and listener management without a GUI.

Enables AI assistants to orchestrate OSINT reconnaissance pipelines, including subdomain takeover detection, URL harvesting, secret scanning, and JS analysis, by chaining 73 tools with smart target detection and deduplication.

Integrates 193 Kali Linux security tools with AI for intelligent penetration testing, CTF solving, and vulnerability assessment through automated workflows and expert knowledge base.

AI-powered MCP penetration testing framework with 150+ security tools and 12+ autonomous AI agents, featuring enhanced security and guardrails.

MCP server with intentionally malicious capabilities for testing Cisco AI Defense supply chain scanning.

Provides essential security and CTF tools including hash identification, encoding/decoding, XOR bruteforce, JWT decoding, reverse shell generation, SQL injection payloads, CVE lookup, and port service identification for learning security concepts and solving challenges.

A Model Context Protocol (MCP) server for memory forensics analysis using MemProcFS.

This server enables AI agents to delegate GitHub pull request diffs for automated security auditing, returning structured vulnerability and architecture feedback while routing requests through a resilient multi-provider fallback pipeline.

MCP server for querying CVE and package vulnerability data from NVD and OSV.dev, allowing CVE lookups and dependency scanning.

Enables plain-English website security checks from an MCP client, offering tools to assess site findings, explain individual issues, and list all available security checks.

Integrates ProjectDiscovery security tools to perform automated reconnaissance, subdomain discovery, and vulnerability scanning. It enables comprehensive bug hunting workflows by chaining tools like subfinder, naabu, and nuclei into a unified pipeline.

Enables deep security auditing of web applications directly from AI IDEs including Cursor and Claude Code. Scans URLs for vulnerabilities, returns security scores with SHIP/BLOCK verdicts, and provides specific fix prompts for remediation.