"How to handle AdMob (Google mobile advertising SDK) integration" matching MCP servers:

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.

Enables MCP-compatible AI clients to analyze Android APK and iOS IPA files for security issues through natural language, including permission auditing, API endpoint extraction, hardcoded secret detection, Firebase inspection, and third-party SDK enumeration.

Enables AI agents to dynamically instrument Android and iOS apps through Frida 17, exposing 40 tools for exploring apps, hooking Java/ObjC/native methods, tracing calls, bypassing SSL pinning, capturing TLS keys and plaintext, and inspecting memory. Results use Ghidra/IDA-style module+offset addresses and carry an evidence envelope, with optional UI automation through mobile-mcp.

An MCP server that enables AI agents to drive real Android apps, capture API traffic, and test mobile-native attack surfaces, similar to Playwright for mobile.

Enables authorized Android security testing with static and dynamic analysis, Frida instrumentation, storage inspection, and traffic interception via MCP tools.

An MCP server providing AI-powered cybersecurity, penetration testing, reconnaissance, vulnerability assessment, and security automation tools through the Model Context Protocol.

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.

Enables MCP clients to drive the complete mobile security toolkit—static/dynamic analysis, Frida hooks, runtime exploration, traffic interception, network setup, and IoT scans—through engine-exposed tools.

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

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.

MCP server (Python, official MCP SDK, stdio) in the mcp/ folder: tools scan_tls and scan_tls_raw check whether a website negotiates post-quantum TLS (X25519MLKEM768 / ML-KEM) and report the key-exchange group, certificate and grade.

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.

Enables AI assistants to perform domain reconnaissance using theHarvester OSINT tool, including email harvesting, subdomain discovery, DNS brute force, and Shodan integration, via SSH on a Kali Linux host.

Enables structured HTTP request creation and local file ingestion for LLM integration with Burp Suite, reducing malformed requests and token costs.

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

Enables AI assistants and the WYRE Conduit gateway to access Telivy's security assessment data for MSPs, including external scans, deep-scan risk assessments, device inventory, M365/Google Workspace user exposure, PII summaries, and finding-level details.

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.

GDB MCP server for binary security research (reverse engineering / PWN) with first-class pwndbg integration, enabling heap analysis, cyclic pattern, checksec, ROP gadgets, and more via MCP protocol.

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.

Exposes Evan's Debugger (EDB) features as MCP tools, enabling AI-driven debugging, reverse engineering, and exploit development with 147 tools including program control, breakpoints, memory analysis, ROP gadgets, and pwntools integration.

A self-hostable, vulnerable-by-design MCP server for learning how object-level authorization bugs (BOLA/IDOR) appear in multi-tenant tools.

Enables comprehensive TLS security audits for any domain, including certificate validity, expiry warnings, cipher suite weaknesses, deprecated protocols, and HSTS checks. Supports single and bulk domain inspection via MCP tools or a CLI for CI/CD integration.

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.

Enables AI agents to perform pay-per-call security verification of wallets, tokens, contracts, dApps, agents, and more via a remote endpoint with no installation.

Enables MCP clients to drive IDA Pro through a stability-hardened server that hosts multiple headless idalib instances, with per-session isolation, configurable HTTP/stdio transports, and API-key authentication.

Config-driven MCP server that exposes Kali Linux penetration testing tools to AI agents, with automatic tool discovery, man page integration, and local/remote execution modes.

Enables authorized penetration testers to run reconnaissance, web fuzzing, vulnerability scanning, brute-force/password cracking, traffic capture, privilege-escalation audits, wordlist generation, and client-report workflows over stdio, HTTP, or SSE with optional bearer/OIDC authentication.

Enables professional penetration testers to orchestrate reconnaissance, web/content scanning, brute-force checks, traffic capture, privilege-escalation auditing, wordlist generation, and client reporting through MCP transports with optional bearer/OIDC authentication.

Enables grading a website's security headers with per-gap fixes and a README badge, and analyzing logs, code, configs or suspicious messages to determine what happened, how severe it is, and what to fix first. Requests are masked for sensitive data and automatically retried across multiple AI providers when one refuses, subject to a defensive-use-only policy.

Connects MCP clients to a Kali Linux terminal for executing security tools and commands, enabling AI-assisted penetration testing and CTF solving.