"Connecting to Gemini Flash Experimental" matching MCP servers:

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

Enables passive OSINT reconnaissance by providing search dorking and open-source intelligence collection tools through MCP, without requiring active interaction with target systems.

Automates Android app analysis using Frida via AI commands, connecting a rooted Android phone to a computer and running dynamic analysis scripts without manual command execution.

Enables AI agents to orchestrate security research workflows by connecting to containerized security tools via MCP, allowing automated vulnerability analysis and pipeline execution.

Enables AI-assisted vulnerability management by connecting Claude Desktop to local Nessus and Tenable Vulnerability Management, allowing natural-language queries for scan management, threat intelligence enrichment, and prioritized remediation planning.

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 AI-assisted penetration testing by connecting MCP clients to execute terminal commands on a Kali Linux machine, supporting tools like Nmap, Metasploit, and custom commands.

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.

Enables an AI agent to perform authorized penetration testing through raw HTTP interaction, Python scripting, and shell commands, while providing an authorization wrapper to keep actions within an approved engagement context.

Enables AI-assisted penetration testing by connecting MCP clients to a Windows API server for executing penetration testing tools like nmap, ffuf, nuclei, and other security tools. Allows AI agents to perform automated security assessments, solve CTF challenges, and assist with ethical hacking tasks through natural language commands.

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

An MCP server connecting AI clients to Greenbone/OpenVAS for vulnerability scanning workflows, enabling scan creation, monitoring, report retrieval, and delta comparisons.

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.

Enables AI assistants to drive OWASP ZAP for authorized penetration testing and bug-bounty workflows, including authenticated scans and vulnerability triage through 67 curated safety-gated tools.

An MCP server that enables LLMs to query and reason over Active Directory attack graphs collected by BloodHound, providing attack paths, blast radius analysis, choke points, and defender remediation advice.

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.

Fully automated MCP server built to communicate with JADX-AI-MCP Plugin to analyze Android APKs using LLMs like Claude — uncover vulnerabilities, parse manifests, and reverse engineer effortlessly.

Enables AI assistants to run WordPress site reconnaissance, malware/CVE security scans, SEO-spam/cloaking detection, and end-to-end natural-language goals through a stdio MCP interface, with the target site configured via environment variables.

Enables AI clients to calculate, explain, and inspect CVSS 4.0 vectors and metrics through local stdio or authenticated hosted MCP connections, supporting private severity assessments.