Security & Testing MCP Servers

Pexpect

41

Enables AI assistants to execute Python code with pexpect functionality, allowing for interactive debugging and programmatic command-line interaction.

A2A ADK

40

Secures database queries through a multi-agent architecture using the A2A protocol, Agent Development Kit, and Model Context Protocol.

Mobile Dev

39

Manages and interacts with mobile devices and simulators for iOS and Android development.

ZoomEye

39

Queries ZoomEye for network asset information based on dorks and other search parameters.

Auth Step-by-Step

38

Provides a detailed, iterative walkthrough for implementing authorization in an Model Context Protocol (MCP) server.

MCP Auth

38

Simplifies authorization for Python Model Context Protocol (MCP) servers.

Random Number

37

Provides language models with essential random number and token generation capabilities.

Ltrack

36

Monitors and analyzes potential security risks during the loading and execution of machine learning and artificial intelligence model files.

Chucknorris

36

Enhances language models with specialized prompts fetched from the L1B3RT4S repository to potentially bypass limitations.

Shell

36

Enables Claude to execute shell commands securely through the Model Context Protocol.

Lighthouse

35

Measures webpage performance metrics using Google's Lighthouse, enabling AI assistants to optimize these metrics.

Ipybox

35

Provides a lightweight and secure Python code execution sandbox based on IPython and Docker, designed for AI agents.

OpenMSX

35

Automates openMSX emulator instances via a Model Context Protocol (MCP) server, providing comprehensive tools for MSX software development, testing, and automation.

DNStwist

34

Detects typosquatting, phishing, and corporate espionage by providing a Model Context Protocol (MCP) server for dnstwist.

Lanalyzer

34

Detects security vulnerabilities in Python projects through static taint analysis.

MCPShell

33

Safely executes command-line tools through the Model Context Protocol (MCP).

Safe Local Python Executor

33

Executes Python code generated by LLMs in a secure, locally-hosted environment, leveraging Hugging Face's LocalPythonExecutor and MCP for LLM application integration.

HAL

33

Empowers Large Language Models to make HTTP requests and interact with web APIs through a secure, controlled interface.

Better Auth

33

Provides enterprise-grade authentication management including secure credential storage, multi-protocol support, and real-time threat detection.

DeepSecure

33

Provides effortless identity, credential, and access management for AI agents and AI-powered workflows.