"Understanding Web Scraping Techniques" matching MCP servers:

A zero-dependency Node.js playground for debugging how MCP clients authenticate to an MCP server over HTTP.

An MCP server that lets an AI agent probe a live URL and confirm whether sensitive files (e.g., .git, .env, source maps) are genuinely served by fetching and validating the content, avoiding false positives.

Enables AI agents to audit URLs for security headers, generate CSP Level 3 policies, compute SRI hashes, evaluate WCAG 2.2 contrast, and remediate headers.

A Node.js-based frontend security audit tool that performs comprehensive dependency security audits for both local projects and remote repositories. Generates detailed Markdown reports with vulnerability detection, risk assessment, and fix recommendations.

Provides OAuth-protected remote access to an existing Open Brain, forwarding approved tool calls from Gemini Spark and Perplexity web clients without altering the upstream system.

Guardrails for AI coding agents that enforces rules via compliance receipts, blocking destructive actions and syncing rules across all AI tools.

Connects AI coding assistants to Snyk API & Web for onboarding scan targets, configuring authentication, running DAST scans, and triaging findings through natural language.

MCP server enabling AI coding agents to seal work into cryptographically signed ProofPackets and verify them, catching forged completion claims and enforcing spec-bound acceptance criteria.

Python MCP server that bridges VS Code Copilot agents to the Firm Gateway ecosystem.

Adaptive security for AI agents: assess inputs for prompt injection, scan outputs for credential/PII leaks, teach new attack patterns to semantic memory, harden prompts, and monitor metrics. Runs locally via MCP stdio.

A governed MCP server for digital-forensics and incident-response (DFIR) work, exposing curated forensic tools (Volatility 3, Plaso, RegRipper, etc.) through a single FastMCP HTTP endpoint with bearer-token authentication and tamper-evident audit logging.

Exposes reverse engineering capabilities via MCP protocol, enabling AI agents to automatically detect, analyze, trace, and deobfuscate JSVMP protected JavaScript code.

Enables LLM agents to fetch web pages safely, blocking SSRF, downloads, hidden text, and prompt-injection attacks before returning cleaned content.

Enables an agent to map MITRE ATT&CK techniques and actors to mitigating NIST 800-53r5 controls and severity-ordered DISA STIG fix/check steps for target systems. It answers questions about STIG mitigations, technique attribution, and applicable benchmarks once its local knowledge base is installed.

Exposes the MITRE ATT\&CK framework to LLMs and AI assistants via the Model Context Protocol, enabling querying of techniques, tactics, groups, software, and mitigations.

Enables AI-native access to the MITRE ATT\&CK framework, allowing LLMs and agents to query techniques, threat groups, software, and generate ATT\&CK Navigator layers for threat intelligence and security workflows.

Enables querying MITRE ATT&CK and D3FEND data efficiently, providing techniques, detections, mitigations, actors, and countermeasures with token-aware summaries and paginated graph traversal.

An MCP server for identifying SQL injection vulnerabilities in web applications using various techniques like error-based, time-based, and union-based scanning. It supports bulk URL processing, WAF bypass strategies, and authenticated testing across multiple database systems.

Provides comprehensive access to the MITRE ATT\&CK knowledge base with 50+ tools for querying threat actors, malware, and techniques, including automatic ATT\&CK Navigator layer generation for threat analysis and visualization.

Enables cyber defenders to query ATT\&CK techniques, list tactics, map incidents to techniques, look up threat actor groups and mitigations, all via the MCP protocol.