Discover our curated collection of MCP servers for security & testing. Browse 2090servers and find the perfect MCPs for your needs.
Automates browser interactions through the Model Context Protocol using Selenium WebDriver.
Enables any LLM to interactively debug code in any language through MCP and a VS Code Extension.
Enables interaction and automation of IDA Pro with Large Language Models via a Model Context Protocol server.
Scans code snippets and directories for security vulnerabilities using Semgrep within an LLM environment.
Empowers LLMs with real-time network traffic analysis using Wireshark's tshark.
Integrates security testing and penetration testing tools into AI workflows via the Model Context Protocol.
Integrates Burp Suite with AI clients using the Model Context Protocol (MCP).
A curated list of resources focused on the security aspects of the Model Context Protocol (MCP).
Connects AI agents to a Linux machine by providing a lightweight API bridge for executing commands.
Identifies cloud risks, tests security vulnerabilities, and enhances cloud protection for public cloud tenants.
Automates the creation and validation of FedRAMP Security Authorization Packages using NIST's OSCAL standard.
Centralizes and enhances AI infrastructure by acting as an intermediary for Model Context Protocol (MCP) servers.
Bridges large language models with the Metasploit Framework, enabling AI assistants to control security testing workflows via natural language.
Enables seamless integration with SonarQube Server or Cloud and allows for code snippet analysis within the agent context.
Analyzes software composition to extract inventory data, detect vulnerabilities, and generate SBOMs.
Establishes a lightweight bridge for AI agents to interact with and automate tasks on Android devices.
Enables AI assistants and automated analysis tools to interact with Ghidra's reverse engineering capabilities through a standardized API.
Facilitates advanced reverse engineering tasks by acting as a model-agnostic AI assistant within environments like Ghidra, leveraging a tool-driven approach.
Integrate a comprehensive suite of offensive security tools into AI assistants like Claude for automated security assessments and analysis.
Provides an architectural intelligence layer for AI coding agents, offering structural graph analysis, architecture governance, and multi-agent orchestration.
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