"Real-time web scraping implementation" matching MCP servers:

Exposes LLM output validation (schema compliance and prompt-injection detection) as an MCP tool, enabling any MCP-compatible agent to apply real-time guardrails without importing the codebase.

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 live website health checks including TLS, HTTPS, and security headers, returning an A-F grade with specific fixes.

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.

Self-hosted workspace MCP gateway that registers MCP servers, stores secrets encrypted, mints agent keys, and shares a unified tool library across multiple AI harnesses.

Pay-per-call API that verifies whether a domain belongs to a real business. Returns a verdict (real/likely_real/uncertain/likely_fake/fake), a 0-100 score, and signals (WHOIS via RDAP, SSL via Certificate Transparency, homepage LLM judgment, contacts, social) — for KYB, vendor screening, fraud checks, and lead qualification.

767-2676.com provides tools to hash task schedule bytes and verify signed time and digest receipts for deadline, cancellation, expiry, and handoff checks. Try the free offline sample at https://767-2676.com/schedule/example; fresh signed witnesses cost $0.001 USDC and require payment authorization.

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.

MCP server that enables AI agents to check if email addresses or domains are disposable using the isitdisposable.com API. It provides tools like check_email, check_domain, and check_batch for real-time validation.

MCP server for AI security scanning. Detects prompt injections, jailbreaks, data exfiltration, and social engineering attacks in real-time using 42 regex patterns via the ClawGuard Shield API. Sub-10ms response times.

A robust Model Control Protocol server that enables AI agents to access real-time cyber threat intelligence and detailed information about vulnerabilities, threat actors, malware, and other cyber-security entities.

Provides real-time threat intelligence including IP risk scores, CVE lookups, and malware hash analysis without requiring an API key. It enables users to monitor active threats, predict CISA KEV additions, and detect pre-attack infrastructure staging through natural language.