"How to Control Tuya Smart IoT Devices" matching MCP servers:

Enables automated Solidity smart contract auditing by analyzing callgraphs and control flow to detect reentrancy vulnerabilities. Integrates with MCP-compatible clients to provide deterministic, zero-dependency security assessments.

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

MCP server for network-level TLS interception and IoT security testing. Orchestrates mitmproxy and tshark to intercept traffic from devices connecting to a WiFi access point, automatically flagging credentials, API keys, and certificate pinning failures.

Offers a control surface for AI agent security with four independent checks: source-code scanning, tenant isolation, LLM content verification, and deploy gating. Currently in pre-release, with no functional scanning engines yet.

Enables an LLM to author, validate, and test Wirefilter WAF and Smart Firewall rules using live schema and real CVE exploit templates.

Enables AI agents to perform passive reconnaissance, vulnerability intelligence, DNS analysis, and device search using Shodan's database of internet-connected devices, all from within your IDE.

Enables comprehensive security reconnaissance, vulnerability assessment, and threat intelligence gathering by integrating Shodan's API. It provides tools for searching internet-connected devices, performing DNS operations, and querying the Shodan exploit database.

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

Enables any MCP-capable AI to headlessly launch and dynamically instrument Windows executables via IDA Pro's PIN tracer, with tools for breakpoints, register/memory access, execution control, and instruction tracing without opening the IDA GUI.

Enables AI assistants to perform password security auditing using John the Ripper on a remote Kali system via SSH, supporting cracking, hash management, and session control.

A comprehensive MCP server for Frida dynamic instrumentation, enabling AI agents to manage devices, processes, scripts, memory, and ADB operations.

MCP server for AI-driven VAPT orchestration, enabling agents to plan and execute authorized security scans through a control plane that enforces scope, sanitization, budget, rate limits, human approval, and audit logging.

This MCP server enables AI assistants to control Ligolo-ng operations on a remote Kali Linux machine via SSH, providing tools for managing proxy, agents, tunnels, routes, and listeners for network pivoting during security assessments.

Provides access to Shodan's IoT search engine API for device search, host intelligence, exploit database, network scanning, and security analysis through natural language.

Enables MCP-capable LLM agents to control YADS queues, manage tags, and trigger scans through YADS's API-authenticated /api/v1 interface without dashboard access. All actions respect tenant isolation and scan limits.

Provides access to Shodan API functionality, enabling AI assistants to query information about internet-connected devices for cybersecurity research and threat intelligence.

An authorization-first MCP-governed control plane for executing security-tool workflows in explicitly approved, sandboxed environments with auditable campaigns and AI collaboration boundaries.

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.

Enables AI agents to programmatically control Cheat Engine for memory scanning, editing, cheat table management, and reverse engineering tasks.

Enables generating falsifiable fleet hypotheses, compiling them into minimal bounded probe plans with control cohorts, and evaluating observations to return supported, refuted, or inconclusive verdicts.