"A service for performing security scans" matching MCP servers:

MCP server for Appwrite security audits that scans permissions and provides structured fix proposals, with active live leak confirmation via anonymous fetch.

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).

Provides security tools (prompt injection detection, CVE lookup, version impact assessment) for MCP clients like Claude.

14 atomic MCP tools for AppSec and AI Security engineers: source/schema/prompt audit primitives, JWT inspect, HTTP diff, pentest atoms (default creds, GraphQL introspect, phpggc, interactsh OOB), and a defensive helpers library that fixes the bugs the detectors flag. SARIF output, PyPI Trusted Publishing with Sigstore provenance.

Provides security audit primitives for MCP servers, agent tool schemas, and system prompts, along with pentest utilities like JWT inspection and HTTP diffing.

Security scanning, prompt injection detection, secret leak detection, and agent permission auditing for AI agent workflows.

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

Security scanning for MCP servers from the inside out. Provides runtime inspection, AST-based static analysis, config audit, dependency analysis, and OWASP MCP Top 10 compliance in a single MCP server.

An MCP server that enables AI assistants to analyze Android APK and iOS IPA files for security issues through natural language conversation, including permission auditing, secret detection, and SDK enumeration.

Unified MCP server integrating NIST and OWASP security frameworks with live vulnerability data, enabling security searches, compliance mapping, threat modeling, and checklist generation.

Comprehensive DNS security toolkit for AI agents: 103 tools across 13 categories including DNSSEC validation, subdomain takeover detection, email security audit, and more, all running locally with no external API calls required.

A security scanner for AI coding agents and autonomous assistants that scans code for vulnerabilities, detects hallucinated packages, blocks prompt injection, and provides LLM-powered semantic code review via MCP or CLI.

Enables evolving scan and policy configurations by inferring security phenotypes from observed findings, seeding competing genomes, measuring fitness, and generating bounded trial plans with ancestry lineage.

Enables unified security workflows with secret scanning, dependency CVE auditing, TLS/SSL inspection, and DNS/SPF/DMARC checks through a single MCP server.

An MCP server that wraps Trivy and Gitleaks to provide file system vulnerability and secret scanning as tools for AI agents, enabling local, free security analysis.

Enables autonomous AI agents and penetration testers to conduct authorized security audits with persistent cross-session memory, zero-trust secret scrubbing, dynamic OWASP/ASVS checklists, and hallucination-free exploit PoC generation from captured traffic.

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

Multi-language SAST and AI-powered fuzzing MCP server for Claude Code integration, enabling static and dynamic security analysis of code.

Vulnerability intelligence for AI agents that enables CVE lookup, package vulnerability checks, and dependency auditing without API keys.

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.