"A guide to performing an SEO audit" matching MCP servers:

npm audit for MCP servers. Point it at an MCP server and get a security grade (A–F) covering missing auth, SSRF surface, high-privilege tools, prompt-injection-prone tool descriptions, and leaked secrets.

Security scanner for MCP servers. Detects prompt injection, command injection, auth bypass, and excessive permissions across tools, resources, and prompts.

Enables scanning of code and URLs for security vulnerabilities (hardcoded secrets, missing headers, etc.) via Claude Code, integrating with the vibe-audit security scanner.

Enables MCP-compatible agents to audit an entire repository through one question, detecting stacks and running parallel checks for dead code, dependencies, security, CVEs, complexity, and lint across Laravel/PHP, Python, TypeScript/React, and Flutter/Dart. It returns normalized, severity-sorted findings with false positives flagged and secret values kept out of the output.

Enables an AI agent to statically triage local binaries and APKs by extracting and classifying strings, flagging hardcoded secrets, detecting file types, checking exploit-mitigation flags, and auditing Android manifests. Results from all tools can be merged into a single structured report with a summary findings list.

Read-only MCP server for precise lookup, search, and versioned retrieval of OWASP testing guides (WSTG, MASTG, ISTG, AITG) with full provenance on every result.

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

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

Security auditor for MCP servers that enumerates tools, resources, and prompts, scans for injection patterns, classifies risk levels, and produces a scored report (0-100, grades A-F).

Enables users to audit other MCP servers' tool definitions for agentic attack classes such as tool poisoning, sensitive-path references in metadata, and tool shadowing via invisible Unicode or homoglyphs. It can analyze a tools/list payload, check a single description string, or connect to a public remote MCP URL to fetch and audit its tool list.

This MCP server enables security auditing for MCP configurations and AI agents, including prompt injection testing, data flow tracing, and security policy generation.

Scans MCP servers, AI agent skills, and plugins for 68+ malicious patterns including credential exfiltration, prompt injection, and code execution.

Enables static security scanning of MCP servers, AI agent skills, and plugins by detecting attack patterns across severity levels and producing SARIF output for GitHub Code Scanning.

Enables read-only, evidence-led security audits of GitHub-hosted source code through explicit workflow primitives: repository reconnaissance, coverage-ledger planning, heuristic candidate leads, structured findings validation, independent verification gates, and JSON/Markdown report generation. It never clones, executes, or probes the target code, and marks runs incomplete until coverage and reviewer-verification gates pass.

Enables users to statically analyze regular expressions for catastrophic-backtracking (ReDoS) risk through real AST parsing rather than executing the pattern, flagging nested quantifiers, ambiguous alternation, and backreferences. It also generates candidate proof-of-concept attack strings with a timeout-guarded test snippet and suggests JavaScript-safe rewrites.

Enables users to scan AI agent skills and configuration files for hidden Unicode instructions, prompt injection, download-and-execute payloads, exfiltration patterns, and overly broad permissions before installation. It provides static audit tools for skill files, agent configs, and revealing hidden text without executing or fetching the input.

Audits MCP server configurations for security risks including capability inventory, SSRF, prompt injection, and drift detection. Works in read-only mode and can also be used as an MCP server to let AI agents audit their own attack surface.

A high-precision logical vulnerability auditing tool that uses MCP and CodeGraph for automated 0-day discovery and verification in multi-language codebases.

Enables agents to generate tamper-evident SHA-256 Merkle audit trails, produce logarithmic inclusion proofs, and verify integrity through a STDIO MCP interface.

This MCP server enables real-time injection fuzzing, exfiltration canary detection, least-privilege tool sandboxing, and cryptographic Merkle audit proofs for agent prompts, RAG context, and actions. It provides tamper-evident SHA-256 tree generation, logarithmic inclusion proofs, and verifiable integrity checks through MCP.

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.

Performs static security analysis of Solana programs and generates x402 payment invoices for automated agent-to-agent audit workflows.

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

Enables agents to inspect web pages for Cloudflare Turnstile challenges without an API key, and clear Turnstile or WAF challenges using a SolveGate API key.

An MCP server that scans local codebases for quantum-vulnerable cryptography (secp256k1, Ed25519, RSA, etc.) and CI signing commands, classifying each finding as quantum-broken, post-quantum, or neither. It runs entirely locally with no network calls, providing a deterministic inventory for AI agents.

Connects AI assistants to Solodit's 49,000+ blockchain vulnerability database, enabling search, browse, and lookup of audit findings directly from your AI workflow.

Enables AI agents to perform passive security scans on domains, checking email spoofing (DMARC/SPF/DKIM), TLS weaknesses, security headers, exposed files, and subdomain-takeover risk without needing an API key.

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.

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.

GhostHunt is an MCP server that scans your development machine for API keys, tokens, and credentials hiding in places you forgot to check.