发现我们为 security & testing 精心策划的 MCP 服务器集合。浏览 1594 个服务器,找到满足您需求的完美 MCP。
Provides sandboxed FFmpeg functionality through a RESTful API, enabling secure video and audio processing for AI assistants and other clients.
Retrieves comprehensive system information and diagnostics for CPU, memory, disk, network, processes, battery, and hardware.
Integrates AI assistants with Workspace ONE UEM for comprehensive device, user, and application management via its APIs.
Automates the auditing and fixing of scaffolded VA forms to ensure compliance with 21P-601 best practices and VA.gov content standards.
Connect AI applications to data sources, tools, and workflows, enabling CI Autopilot's power directly within your IDE or AI application.
Provides a secure, read-only server for filesystem scanning, searching, and analysis with comprehensive security validation.
Integrates a suite of Open-Source Intelligence (OSINT) tools for AI assistants to conduct reconnaissance and information gathering.
Executes whitelisted shell commands remotely, supporting standard input.
Integrates the Stripe SDK within a TypeScript Model Context Protocol (MCP) server, specializing in fraud and Radar operations while offering raw API access.
Automates the analysis of regression test failures and identifies solutions by matching relevant JIRA issues.
Develop and test custom tools for the Model Context Protocol (MCP).
Integrates AI assistants with SonarQube to enable natural language interaction for code quality analysis, project management, and security insights.
Implements a secure FastAPI backend for user registration and authentication using JWT tokens and bcrypt password hashing.
Bridges the authentication gap for secure Model Context Protocol servers using Microsoft Entra ID with .NET.
Scans npm packages for known security vulnerabilities before installation, leveraging the OSV API.
Enables secure local filesystem and terminal operations for AI assistants via the Model Context Protocol.
Provides secure and controlled access to SQLite databases through a standardized Model Context Protocol interface.
Establishes a transparent proxy between OAuth 2.1 clients and external MCP servers, handling dual authentication flows.
Echoes selected environment variables from an MCP server process to verify client context propagation.
Provides advanced property-based fuzzing and testing capabilities for Model Context Protocol servers, enabling automated discovery of edge cases and bugs in Python functions.
Scroll for more results...