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。
Orchestrates a collection of MCP servers and tools for enhanced cybersecurity operations, integrating with AI assistants.
Accesses MITRE's Common Weakness Enumeration (CWE) database via its official API, streamlining vulnerability research and integrating with MCP-compatible systems.
Provides comprehensive browser automation capabilities for AI assistants using Playwright.
Provides real-time access to Firewalla firewall data and security insights through 28 specialized tools, compatible with any Model Context Protocol (MCP) client.
Provides LLMs with persistent, intelligent memory storage tailored for security-focused tasks like penetration testing and exploit development.
Provides an MCP server interface to the api.random.org service for generating true random numbers, strings, and UUIDs.
Automates multi-layered security analysis of codebases using AI-driven insights and static analysis rules.
Enables AI agents to perform precise, secure, and quality-controlled file modifications using a block-based patching format.
Retrieves and analyzes Sentry issues, providing detailed information about errors in applications.
Manages and monitors network bandwidth and device connections via an AI-accessible API, leveraging EvilLimiter's capabilities.
Enables LLM agents to safely execute arbitrary Python code in a secure, throw-away sandbox.
Performs efficient, concurrent binary analysis without a graphical interface using Python workers.
Provides comprehensive network diagnostic and analysis tools to AI agents for efficient, structured insights.
Returns all HTTP headers sent to the server from an MCP tool.
Validates website health across performance, accessibility, SEO, and security dimensions using 11 integrated testing tools.
Consolidates and serves multiple Model Context Protocol (MCP) servers through a single, Keycloak-authenticated endpoint.
Provides session-aware Model Context Protocol (MCP) server integration for Ktor applications.
Transforms single-attempt code generation into a multi-attempt, test-validated refinement loop, leveraging LLMs for robust software development.
Enables dynamic security orchestration by bridging LLM clients with a middle layer of hyperautomation workflows.
Empowers AI assistants with direct access to browser DevTools, React state, and runtime debugging capabilities for frontend applications.
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