"Developing a Flutter application with embedded React Native" matching MCP servers:

Enables Android APK reverse engineering and Flutter runtime injection through a six-step pipeline of decompile, analyze, synthesize, inject, patch, and repackage. Provides MCP tools for authorized security research and penetration testing.

Agent-native "safe to ship?" security gate for AI-generated code. Uses real parsers and inter-rocedural taint analysis (JS/TS, Python, Go) to flag the classes AI coding agents get wrong — secrets, SQL injection, SS, SSRF, path traversal, command injection, weak JWT/CORS — and ranks findings by confidence. Exposes a scan tool over MCP.

MCP server that provides AI-native access to BeVigil's OSINT API, enabling mobile app security research and asset discovery through tools for hosts, subdomains, S3 buckets, URLs, wordlists, and multi-step investigations.

Enables MCP-native multi-agent security audits for Google Antigravity, orchestrating subagents for 0day research, static analysis, PoC verification, exploit chaining, reporting, and code remediation.

AI-native HTTP security testing MCP server — 18 tools with raw HTTP/1.1 + HTTP/2 control

A comprehensive MCP server for web security reconnaissance, providing tools for passive and active information gathering, DNS analysis, network scanning, and web application analysis.

A Model Context Protocol server that wraps the Appknox CLI for mobile application security testing.

An MCP server that enables AI-assisted mobile security testing by exposing Frida functionality for Android application research. It provides tools for hooking Java methods, manipulating memory, managing device processes, and executing custom Frida scripts.

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

Provides secure access to Kali Linux security tools through containerized execution, enabling network scanning, web application testing, and security assessments.

A security testing tool that enables automated vulnerability detection including XSS and SQL injection, along with comprehensive browser interaction capabilities for web application penetration testing.

A Model Context Protocol (MCP) server that provides AI assistants with access to the Rapid7 InsightAppSec API for application security scanning, vulnerability management, and reporting.

Provides a Model Context Protocol server implementation that allows AI agents and other MCP clients to programmatically interact with DefectDojo, a vulnerability management tool, for managing findings, products, and engagements.

A Frida MCP server for authorized dynamic analysis and application security research, exposing device/session management, script injection, process and memory inspection, and platform-specific workflows.

Provides MCP clients like Claude with tools to query and manage security scans, CVEs, assets, findings, threat intel, and generate polished reports by acting as a lightweight adapter over the CVEasy backend API.

Manual listener MCP server that bridges OpenCode with local security tools via a Flask HTTP service, enabling AI-assisted security operations.

Bridges AI agents with SafeBreach's Breach and Attack Simulation platform, enabling natural language queries and seamless integration through a multi-server architecture with specialized domains.

The Checkmarx Security MCP server bridges your AI assistant (Claude, Cursor, Copilot, etc.) with Checkmarx One's enterprise application security platform. It exposes security workflows as natural-language-accessible MCP tools, allowing developers to scan code, investigate findings, and receive context-aware fixes without leaving their development environment.

A TypeScript MCP server delivering a vendored 'dangerous skills' corpus and adversarial fixtures over MCP for security-research testing, supporting SEP-2640 skill delivery with archive-safety hardening.

Enables running Kali Linux security tools and commands in a containerized environment for semi-automated penetration testing, with background job management and out-of-band interaction detection.