发现我们为 security & testing 精心策划的 MCP 服务器集合。浏览 1651 个服务器,找到满足您需求的完美 MCP。
Transforms existing MCP Servers and APIs into secure MCP servers with built-in authentication and authorization using a lightweight gateway service.
Automatically fixes broken Selenium test locators when UI changes occur, reducing test maintenance overhead.
Provides a deterministic runtime governance layer that monitors risk signals and adjusts constraints to keep AI systems operating within safe boundaries.
Empowers AI agents to run industry-standard auditing tools directly on your local machine for proactive code security and compliance.
Provides unified secrets management for HashiCorp Vault and Mozilla SOPS via Model Context Protocol.
Provides enterprise-grade, security-hardened Chrome automation for AI agents with robust compliance-ready logging.
Enables AI assistants to securely and token-efficiently access over 300 Unblu API endpoints via progressive disclosure.
Generates and validates Wirefilter WAF rules, providing contextual information and testing tools to aid LLMs.
Automates AI-powered local code reviews, secret detection, and commit message generation before code is pushed.
Enables dynamic security orchestration by bridging LLM clients with a middle layer of hyperautomation workflows.
Transforms single-attempt code generation into a multi-attempt, test-validated refinement loop, leveraging LLMs for robust software development.
Provides session-aware Model Context Protocol (MCP) server integration for Ktor applications.
Consolidates and serves multiple Model Context Protocol (MCP) servers through a single, Keycloak-authenticated endpoint.
Enables AI agents to perform real-world tasks on Android devices, including app navigation, UI interaction, and automated quality assurance testing.
Provides an open-source runtime enabling secure, cryptographically verifiable, and human-supervised transactions between AI agents, implementing the Amorce Agent Transaction Protocol (AATP).
Analyzes code for security risks and manages code snapshots using AI, integrating directly with Model Context Protocol-compatible AI tools.
Connects to SonarQube instances to retrieve, analyze, and automatically apply fixes for detected code quality issues.
Leverages git forensics to reveal hidden file dependencies, preventing AI from introducing bugs during code modifications.
Manages and monitors server processes for AI agents, enforcing strict security through executable allowlists and resource controls.
Provides enterprise-grade debugging capabilities for Node.js and TypeScript applications, designed for interactive use by AI agents.
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