Security & Testing MCP 서버

OpenCTI Server

36

Enables querying and retrieving threat intelligence data from an OpenCTI platform through a standardized Model Context Protocol (MCP) interface.

Android ADB

33

Enables AI assistants to interact with Android devices through the Android Debug Bridge (ADB).

Adb

35

Enables interaction with Android devices via ADB using the Model Context Protocol.

Python Sandbox

36

Safely executes Python code and manages packages in isolated Docker containers, designed for use with LLMs.

Zap

35

Orchestrates OWASP ZAP actions, such as spidering, active scanning, and report generation, via an MCP server.

Authenticator App

35

Enables AI agents to securely access 2FA codes and passwords from the Authenticator App for automated login processes.

Joern

36

Facilitates code review and security analysis using a Joern-based MCP server.

OPNSense

34

Manages OPNSense firewalls through natural language interactions via Claude Desktop, acting as an Infrastructure as Code proxy.

pfSense

36

Enables security administrators to manage their pfSense firewalls using natural language through AI assistants.

Ludus

35

Manages Ludus cybersecurity training environments through natural language commands, enabling streamlined setup and operation.

Copilot Security

36

Guides GitHub Copilot to generate secure code, block risky patterns, and reinforce safe coding practices across multiple programming languages.

Probe Kit

34

Streamlines AI-assisted development by providing 23 utility tools that cover code quality, development efficiency, and project management workflows.

1mcp

34

Enables AI agents to compose and execute sandboxed code for chained Model Context Protocol (MCP) tool calls, significantly reducing token usage.

Peta Core

36

Secure AI agent interactions with a zero-trust gateway and vault that manages credentials, enforces access policies, and records audit trails.

NotebookLM Secure

36

Enables secure querying of Google NotebookLM from AI agents like Claude, fortified with 14 layers of security hardening.

Microsoft Enterprise

34

Enables AI agents to access Microsoft Entra data by translating natural language queries into Microsoft Graph API calls.

Autonomo

33

Empower AI coding assistants to observe application state, drive simultaneous multi-device interactions, and validate cross-device behavior within a single iterative development loop.

ArifOS

35

Enforces constitutional-level safety, ethical, and truth constraints on AI agent outputs at runtime using a thermodynamic constraint engine.

Native Devtools

33

Empowers AI agents to interact with native desktop applications through visual and input simulation capabilities.

AutoPentest

35

Automates web application penetration testing by leveraging the full OWASP Web Security Testing Guide.