Security & Testing MCP 服务器

Code Runner

Executes code within isolated container or virtual machine environments.

OSV

Provides a lightweight Model Context Protocol (MCP) server implementation for the OSV Database API.

Cheqd Toolkit

Standardizes AI agent interactions for identity-related workflows using the Model Context Protocol (MCP).

File Search Tool

Enables regex-based searching of file content across various file types via the Model Context Protocol (MCP).

Filesys

Enables LLMs to securely read and list files from a designated directory on a local machine.

Cases

Specifies server behavior for various automations based on the Model Context Protocol.

Windows CLI

Provides secure command-line interactions on Windows systems via PowerShell, CMD, Git Bash, and SSH.

Promptium

Automates UI testing for mobile applications using LLMs and Appium.

POX

Enables network control and management capabilities through the POX SDN controller.

AgentExec

Provides a secure shell and code execution sandbox environment for AI agents.

Code Sandbox

Creates secure code sandbox environments, executes code in Docker containers, and provides robust code execution capabilities for AI applications.

Command Exec

Enables secure execution of system commands via the MCP protocol using an allowlist.

Huntress

Integrates with the Huntress API to enable programmatic access to account, organization, agent, and incident data.

Archai Static Analyzer

Analyzes code statically, potentially for security vulnerabilities or code quality issues.

Better File Server

Provides secure filesystem access with path aliasing and an optimized API for Large Language Models.

Nextflow Developer Tools

Facilitates the development and testing of Nextflow itself through a dedicated MCP server.

Semgrep

Integrates Semgrep static code analysis into the development environment via the Model Context Protocol.

Modular Server

Enables execution of various tasks on a server through a modular tool interface secured with path restrictions.

Github Workflow Debugger

Diagnoses and fixes GitHub Actions workflow failures through a structured decision tree using the GitHub API.

Mobile Validator

Enforces disciplined mobile development practices by acting as a guardian for your codebase, preventing AI agents from generating low-quality or inconsistent code.