"Server Security Help and Guidance" matching MCP servers:

Validates and tests llguidance grammars (Lark format), providing grammar validation, batch test execution, and syntax documentation.

Integrates Checkov, Semgrep, Bandit, and ASH to provide comprehensive code security analysis for AI coding assistants.

Enables comprehensive security scanning of code projects, detecting vulnerabilities in dependencies, code patterns (XSS, eval, etc.), and exposed secrets, with detailed reports in Spanish prioritized by severity.

Enables AI assistants to scan project dependencies and Infrastructure as Code files for security vulnerabilities and misconfigurations. It also provides automated fixing capabilities to remediate identified security issues.

A lightweight MCP server for security reviews that injects security requirements before code generation, scans dependencies for CVEs, and verifies generated code without disrupting workflow.

Audit any MCP server for tool-poisoning, prompt-injection, and data-exfiltration risk before connecting an agent.

Automatically detects security vulnerabilities in AI-generated code, scanning for hardcoded secrets, injection flaws, XSS, weak cryptography, authentication issues, path traversal, and vulnerable dependencies across JavaScript, Python, Java, and Go.

Detect live website vulnerabilities and security flaws in GitHub repositories using automated DAST and SAST scanning. Safeguard applications by identifying exposed secrets, insecure dependencies, and common code patterns prone to exploitation. Receive structured fix plans with precise code remediation steps to resolve identified risks and improve security posture.

Automatically discovers and tests MCP services for security vulnerabilities including command injection, SQL injection, SSRF, path traversal, and sensitive data exposure with detailed reports and remediation guidance.

Provides penetration testing tools including nmap, nikto, sqlmap, wpscan, and exploit database searches for educational and authorized security testing purposes using Kali Linux tools.

An MCP server that gives Claude and other AI agents the ability to audit any public URL's HTTP security headers. What it checks: * HSTS, CSP, X-Frame-Options, X-Content-Type-Options, Referrer-Policy, Permissions-Policy * HTTPS enforcement and redirect chain depth * Presence of security.txt, robots.txt, sitemap.xml Payment model: * 0.05 USDC per scan, paid automatically on Base via the x402 proto

Enables building and evaluating LangGraph agents over a protocol-level MCP server to measure failure rates across four agent topologies.

Multi-engine container and system vulnerability scanning for AI agents. Wraps Trivy and Grype with cross-engine validation, SBOM generation, and IaC misconfiguration scanning.

Enables integration with Beagle Security API for managing security testing projects, applications, domain verification, and automated penetration tests. Provides 18 tools for creating, monitoring, and retrieving results from security assessments.

Provides a hand-written MCP server integrated with a LangGraph agent to benchmark multiple agent topologies and measure their failure rates.

Enables LLMs to perform browser automation tasks including web scraping, taking screenshots, and executing JavaScript using Playwright. It facilitates real-time interaction with web pages and the generation of automated test code.

Deterministic AST vulnerability remediation and formal verification for AI coding assistants using Microsoft Z3 SMT logic.

Simulates security attacks by providing LLM attack test payloads to validate ModSecurity-compatible detection rules.

Enables security scanning of codebases through integrated tools for secret detection, SCA, SAST, and DAST vulnerabilities, with AI-powered remediation suggestions based on findings.

Enables LLMs to interact directly with generated REST services by discovering and invoking CRUD tools and reading exposed resources for list and get-by-id data.