"How to scrape websites and retrieve information" matching MCP servers:

Enables AI coding agents to audit websites for PHP runtime vulnerabilities, compile a live Zero-PHP Next.js App Router replacement preview from a WordPress/PHP site, and retrieve remediation guidance.

Enables users to run synthetic support-agent evaluations, preserve and inspect traces, score results deterministically, inject failures, and enforce release review gates through MCP tools, resources, and prompts.

Wraps Kali Linux penetration testing tools for authorized security assessments, driven by a local LLM via LM Studio.

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.

Enables AI agents to register domains, prove ownership, queue security scans (headers, TLS, DNS, ports, tech-fingerprint), and retrieve findings with severity and CVE details via the Eleion Scanner API.

Enables coding agents to perform network diagnostics and lookups, including subnet calculations, port and MAC vendor information, DNS and blocklist checks, TLS certificate inspection, and public IP discovery, all without needing an account or sending telemetry.

Enables AI models to search and retrieve offline security knowledge from over 20 curated sources including HackTricks, PayloadsAllTheThings, and OWASP guides, via the Model Context Protocol.

Enables MCP clients to launch authorized autonomous penetration tests, monitor run status, list campaigns, and retrieve vulnerability findings and severity statistics from a self-hosted dashboard API.

Enables AI assistants to scan websites, public repositories, and OpenClaw/CLAW skills for security vulnerabilities, including local skill-package analysis before installation, cloud scans, and remediation guidance.

Enables querying MITRE's Common Weakness Enumeration database for vulnerability information, supporting CWE lookup, search, taxonomy navigation, and relationship mapping through MCP.

Enables interaction with the APVISO AI-powered penetration testing platform to manage targets, initiate scans, and retrieve vulnerability findings. It allows developers to integrate security testing workflows directly into MCP-compatible tools like Claude Code and Cursor.

Enables users to retrieve and display CVE vulnerability information from the National Vulnerability Database (NVD) with support for keyword search and detailed lookup.

Enables AI assistants and agents to search bug bounty programs, retrieve policies and scopes, and check targets against active scope across HackerOne, YesWeHack, and Intigriti using personal API credentials.

A real security scanning MCP server for medical information systems, supporting port scanning, vulnerability detection, medical system identification, and compliance report generation.

Enables LLMs to conduct passive attack-surface research by collecting public information, referencing saved reports, and verifying evidence through MCP tools.

A comprehensive MCP server for web security reconnaissance, providing tools for passive and active information gathering, DNS analysis, network scanning, and web application analysis.

Exposes the five Enternovate security tools as 23 Model Context Protocol tools, enabling agents to scan attack surfaces, query knowledge graphs, audit websites, check email security, and run POPIA compliance assessments via a single MCP connection.

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

MCP server that exposes Shodan API for host information, search, alerts, scanning, and exploit data.

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.

Enables AI agents to perform pay-per-call security verification of wallets, tokens, contracts, dApps, agents, and more via a remote endpoint with no installation.

Enables static analysis, vulnerability scanning, gas optimization, formal specification verification, and audit report generation for smart contracts across Ethereum, Polygon, Arbitrum, Optimism, and Base. It also retrieves deployed contract information and audit history, persisting findings between sessions.

It enables AI agents to connect to a live Chrome browser for automation and authorized security testing, including session-aware tab control, network capture and replay, DOM inspection, screenshots, and background workflows.

Enables MCP clients to drive IDA Pro through a stability-hardened server that hosts multiple headless idalib instances, with per-session isolation, configurable HTTP/stdio transports, and API-key authentication.

Enables authorized penetration testers to run reconnaissance, web fuzzing, vulnerability scanning, brute-force/password cracking, traffic capture, privilege-escalation audits, wordlist generation, and client-report workflows over stdio, HTTP, or SSE with optional bearer/OIDC authentication.

Automatically generates pocsuite3-compliant POC (Proof of Concept) code from vulnerability information, with built-in safety features to prevent harmful payloads and ensure secure security testing.

Enables professional penetration testers to orchestrate reconnaissance, web/content scanning, brute-force checks, traffic capture, privilege-escalation auditing, wordlist generation, and client reporting through MCP transports with optional bearer/OIDC authentication.

Enables AI clients to submit files, hashes, and URLs for malware analysis, retrieve results, search across AssemblyLine indices, and triage alerts, all through the Model Context Protocol.

Enables grading a website's security headers with per-gap fixes and a README badge, and analyzing logs, code, configs or suspicious messages to determine what happened, how severe it is, and what to fix first. Requests are masked for sensitive data and automatically retried across multiple AI providers when one refuses, subject to a defensive-use-only policy.