"How to Assess the Security of a Python Application" matching MCP servers:

This MCP server provides secure access to databases for AI agents, enforcing authentication, authorization, human approval, logging, and notifications to prevent dangerous actions.

Enables authorized web/API security analysis as a stateful, multi-stage workflow with persistent session state, human-controlled validation, candidate versus confirmed finding tracking, and stop conditions.

MCP server enabling Claude Code to capture screenshots of Windows applications through WSL2, allowing AI to diagnose UI errors and verify layouts.

CP server for RAD Security, providing AI-powered security insights for Kubernetes and cloud environments. This server provides tools for querying the Rad Security API and retrieving security findings, reports, runtime data and many more.

Zero-key security toolkit for your AI assistant: grade any website's security A+ to F, check if CVEs are actively exploited via CISA KEV and EPSS, and get MITRE ATT&CK defenses explained in plain English. No API keys, no signup.

A local MCP daemon that turns an agentic coding client into a bug bounty operator, with 103 tools for offensive security testing including MITM proxy, traffic analysis, and OOB callbacks.

Enables assessment of AI use cases against the IKI-Gov reference model, scoring maturity across six measurement dimensions, checking readiness of lifecycle quality gates, and mapping coverage against ISO/IEC 42001, the EU AI Act, and NIST AI RMF. Supports scriptable CLI and JSON output, persisted portfolios with trend tracking, and Markdown or JSON report export.

MCP server for static security analysis of Android application source code.

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

AI-powered VMware NSX DFW microsegmentation and security. Manage distributed firewall policies, security groups, Traceflow, and IDPS with 20 MCP tools.

MCP server that lets AI coding agents (Claude Code, Cursor, Cline) audit Supabase projects for security misconfigurations AND apply the fixes — without leaving the agent. Tools: audit_project, list_findings, preview_fix (BEGIN/ROLLBACK safety), apply_fix (with confirmation), apply_all_fixes (transactional bulk). Closes the audit-fix loop entirely in the agent — other Supabase scanners only report.

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.

Security for the MCP servers you use: detects tool poisoning, rug pulls, shadowing, secrets and supply-chain risk (OWASP MCP Top 10), with runtime guards and approved-server policy. Runs locally.

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.

Supply chain risk scoring for npm, PyPI, and GitHub repos

An MCP server that enables AI agents to perform comprehensive GitHub security audits across org settings, repositories, Actions workflows, secrets, supply chain, and access control using 39 tools and 45 checks.

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

Enables auditing a Supabase project's security beyond the dashboard's Security Advisor, checking anonymous access, RLS policies, and cross-tenant data leaks via read-only probes and a two-account test.

MCP server for automated AWS security scanning — 19 modules, risk scoring, zero write operations.