"Learning about PHP programming language" matching MCP servers:

A read-only MCP server for the Qualys PCI Merchant API that lets LLM assistants answer questions about PCI compliance posture, such as which hosts are failing PCI or listing high findings.

An MCP server that exposes Prof. Null, an uncensored cybersecurity professor, as a set of specialized tools for learning hacking, CTFs, and security concepts through Q\&A, roadmaps, cheatsheets, labs, and more.

MCP server that exposes 31 OSINT checks from Lissy93/web-check as tools for website analysis, including SSL, DNS, headers, WHOIS, and security presets. Enables natural-language-driven web recon and health checks.

MCP server providing diagnostic tools to analyze software architecture, security, REST API compliance, and dependencies for multiple programming languages. Enables AI agents to run scans and audits on codebases.

Talk to your Flipper Zero from Claude Code — or any MCP client. Storage, app deployment, screen capture, button automation, JavaScript execution on the device, and honest answers about what is nearby.

Provides programmatic access to Mimikatz for credential extraction, Kerberos attacks, SAM/LSA dumping, and other Windows security assessment tasks through natural language.

An AI-native code security audit MCP server that supports multi-language AST analysis, call graph analysis, vulnerability detection, and AI deep audit.

Provides access to Shodan API functionality, enabling AI assistants to query information about internet-connected devices for cybersecurity research and threat intelligence.

A self-hostable, vulnerable-by-design MCP server for learning how object-level authorization bugs (BOLA/IDOR) appear in multi-tenant tools.

Wraps the ScanMalware.com API to enable phishing triage, malware scanning, and certificate inspection through natural language, allowing users to submit scans, retrieve results, and analyze threats via MCP tools.

Bridges large language models with the Cobalt Strike C2 framework, enabling AI assistants to control adversary simulation workflows through natural language.

Exposes Keysight CyPerf network performance and security testing as 100 tools across 15 categories, enabling AI assistants to orchestrate tests, manage agents, and analyze results through natural language.

Bridges AI agents with SafeBreach's Breach and Attack Simulation platform, enabling natural language queries and seamless integration through a multi-server architecture with specialized domains.

A cross-chain bridge security auditing toolkit that exposes tools for analyzing, fuzzing, and simulating bridge contracts via natural language, enabling users to detect vulnerabilities like centralization risks and replay attacks.

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

A proof-of-concept tool that integrates AI into security operations, allowing users to perform offensive security tasks like network scanning and reconnaissance through natural language commands to GitHub Copilot.

Enables comprehensive security testing and penetration testing through natural language conversations with 92+ tools for reconnaissance, vulnerability assessment, web application testing, OSINT, and reporting. Designed for authorized bug bounty hunting and security assessments.

Provides a bridge between large language models and the Metasploit Framework, enabling AI assistants to access and control penetration testing functionality through natural language.

A secure, modular MCP server that wraps seven industry-standard security tools (nmap, nuclei, gobuster, subfinder, httpx, nikto, sqlmap) into thirteen MCP tools, enabling AI agents to perform port scanning, vulnerability scanning, directory enumeration, subdomain discovery, web probing, and SQL injection testing through natural language.

An MCP server that provides a complete interface to the GoPhish API for managing phishing campaigns, groups, templates, landing pages, SMTP profiles, and users through natural language commands.