Discover our curated collection of MCP servers for security & testing. Browse 1771servers and find the perfect MCPs for your needs.
Analyzes software composition to extract inventory data, detect vulnerabilities, and generate SBOMs.
Integrates security testing and penetration testing tools into AI workflows via the Model Context Protocol.
Facilitates advanced reverse engineering tasks by acting as a model-agnostic AI assistant within environments like Ghidra, leveraging a tool-driven approach.
Enables interaction and automation of IDA Pro with Large Language Models via a Model Context Protocol server.
Enables any LLM to interactively debug code in any language through MCP and a VS Code Extension.
Bridges large language models with the Metasploit Framework, enabling AI assistants to control security testing workflows via natural language.
Connects AI agents to a Linux machine by providing a lightweight API bridge for executing commands.
Integrates Burp Suite with AI clients using the Model Context Protocol (MCP).
Enables AI assistants and automated analysis tools to interact with Ghidra's reverse engineering capabilities through a standardized API.
Enables seamless integration with SonarQube Server or Cloud and allows for code snippet analysis within the agent context.
Automates the creation and validation of FedRAMP Security Authorization Packages using NIST's OSCAL standard.
Empowers LLMs with real-time network traffic analysis using Wireshark's tshark.
Centralizes and enhances AI infrastructure by acting as an intermediary for Model Context Protocol (MCP) servers.
Establishes a lightweight bridge for AI agents to interact with and automate tasks on Android devices.
Automates browser interactions through the Model Context Protocol using Selenium WebDriver.
Analyzes Active Directory attack paths using natural language queries via a BloodHound and Model Context Protocol (MCP) integration.
Integrate a comprehensive suite of offensive security tools into AI assistants like Claude for automated security assessments and analysis.
Executes code securely within isolated Docker containers, providing a safe environment for AI applications.
Executes Python code in isolated, rootless containers, serving as an MCP server with optional proxying capabilities for external MCP tools.
Enables secure interaction with Microsoft SQL Server databases via a controlled interface for AI assistants.
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