"Building a Sequencer with Arduino in C++ and Enhancing Performance" matching MCP servers:

Enables authorized web/API security analysis as a stateful, multi-stage workflow with persistent session state, human-controlled validation, candidate versus confirmed finding tracking, and stop conditions.

A Docker-based MCP server exposing a curated set of Kali Linux security tools for authorized, hands-on network scanning on private ranges, with enforced trustworthiness and honest output.

Enables AI agents to analyze memory dumps for forensic investigation, leveraging a fast Rust engine and full Volatility3 plugin coverage via the Model Context Protocol.

Enables AI agents to analyze PCAP files for network forensics using Wireshark/tshark, providing high-performance packet inspection, filtering, and protocol analysis through the Model Context Protocol.

Exposes AI-augmented network reconnaissance and evasion capabilities as callable FastMCP tools, enabling natural language orchestration of host discovery, service fingerprinting, CVE mapping, and attack chain synthesis.

Comprehensive forensic analysis MCP server enabling AI agents to analyze files, Chromium and Firefox browser artifacts, with VirusTotal, DIE, Binwalk integrations.

MCP server for AgentMinds collective intelligence platform, enabling AI agents to scan websites for security/SEO/performance issues, pull personalized recommendations, and share findings across the network.

Offers a control surface for AI agent security with four independent checks: source-code scanning, tenant isolation, LLM content verification, and deploy gating. Currently in pre-release, with no functional scanning engines yet.

GhostHunt is an MCP server that scans your development machine for API keys, tokens, and credentials hiding in places you forgot to check.

Self-hosted MCP engine for private code reviews, providing deterministic static analysis and AST-level search over diffs, with findings passed to a review agent of your choice.

Connects an AI assistant to an already-running mitmweb session so it can read, search, diff, replay, and generate code from the same network flows shown in the UI.

Enables AI coding agents to search a security corpus, scan Terraform plan JSON for cited findings, and list sources via MCP tools grounded in CIS AWS Foundations and OWASP Top 10 CI/CD risks.

MCP server integrating Rizin reverse engineering, RzGhidra decompiler, and capa for binary analysis, enabling LLMs to open binaries, identify capabilities, extract function addresses, and decompile to C pseudocode.

Runs WCAG accessibility, SEO, performance, and security audits on URLs or raw HTML via SiteLint Auditor. Enables LLM agents to audit web pages and check WCAG criteria through MCP tools.

Security scanning for MCP servers from the inside out. Provides runtime inspection, AST-based static analysis, config audit, dependency analysis, and OWASP MCP Top 10 compliance in a single MCP server.

Enables AI assistants to run Kali Linux security tools in an isolated Docker container for tasks like network scanning, port checking, and service enumeration.

Exposes a pentest toolbox (sqlmap, nuclei, ffuf, etc.) via Docker to an LLM orchestrator for authorized security audits, with strict whitelisting and timeout controls.

Enables AI assistants to perform web content discovery scans using feroxbuster on a remote system via SSH, with support for recursive scanning, filtering, and background execution.

Provides an MCP interface to a full Kali Linux environment running in Docker, enabling AI assistants to execute security tools like nmap, sqlmap, and metasploit. It allows users to start/stop the container, run shell commands, and transfer files for security testing and educational purposes.

Provides AI agents with 37 OSINT tools and 12 data sources to perform unified reconnaissance, domain analysis, and attack surface mapping. It enables agents to query, correlate, and reason across platforms like Shodan, VirusTotal, and Censys in parallel.