"Villager 0.2.1rc1 Framework MCP Auto Penetration Testing" matching MCP servers:

Code-aware browser testing agent — reads your codebase, understands functionality, tests every element, reports with screenshots. Works as MCP server for Cursor/Claude Code or standalone CLI.

Enables AI assistants to write and debug integration tests by providing live access to DOM structure and executing code directly in test environments.

Provides testing and quality assurance tools for AI agents via MCP, enabling generation of test cases, mock data, API mocks, coverage analysis, and assertions.

A lightweight, local-first MCP server for executing HTTP requests and managing API collections and environments without cloud dependencies. It enables testing APIs, handling authentication, and importing OpenAPI specifications directly within MCP-compatible workflows.

Provides usage data from @ccusage/pi and tools to switch between AI providers (e.g., Claude Code, OpenAI Codex, CursorAI) using load-balancing or high-availability strategies.

Remote MCP server that gives coding agents verified, version-pinned answers about fast-moving frameworks, starting with Expo SDK 54.

Exposes an installed LCU runtime to MCP clients as computer-use tools, maintaining persistent sessions across related calls and handling recognized native-app consent locally for clients without approval dialogs.

Lets a running interactive agent session receive outside events — webhooks, cron timers, files landing in a directory — pushed directly into its transcript as they happen. Users can drop a small source plugin file into their project and have the agent notice and act on external triggers mid-session, with no human re-prompting and no restarts.

A TypeScript framework for building Model Context Protocol (MCP) servers with automatic discovery and loading of tools, resources, and prompts.

An LLM-driven API testing platform exposed over MCP, enabling declarative test definition and DAG-based execution.

Provides AI assistants with current Ionic Framework v9 and v8 documentation, including component API references, usage examples for Angular, React, Vue, and vanilla JavaScript, and Ionic blog posts. Enables searching docs, reading pages, listing components, retrieving usage examples, and listing blog posts.

Provides coding agents with visibility into test health through tools for flaky test detection, test quality linting, and LLM evaluation harness, enabling them to triage failures, review test quality, and check prompt changes for regressions.

Automates internal system form submissions by reading data from Excel/CSV or Google Sheets and using Playwright to navigate menus and fill form fields, with support for both visible and headless modes.

基于MCP协议的知识库服务器，内置LLM层，提供结构化知识存储、语义搜索和主动知识推送，支持通过工具进行知识学习、搜索和关联推理。

Provides tools for frontend testing including code analysis, test generation, test execution, and React component testing for Jest and Cypress frameworks.

This MCP server exposes a recommend_skills tool that a UserPromptSubmit hook calls to inject relevant context into the harness before a prompt is processed. It surfaces matching external skill listings only when a suggestion meets a confidence threshold, so unrelated prompts yield nothing.

A framework for building MCP servers with standardized tools, authentication, logging, and multiple transports. Enables rapid development of secure, auditable MCP tools.

An MCP server for controlling Google Chrome through native messaging, featuring forced reconnect, diagnostic tools, and automatic permission management. It enables AI assistants to automate browser tasks such as navigation, scraping, and interaction with web pages.

A starter template for building Model Context Protocol (MCP) servers with mcp-framework. It includes an example tool and CLI for adding more tools.

Bridges UI feedback captured by a browser extension on localhost apps into a Claude Code session, queueing picked elements, comments and rewrite requests as batches that the coding agent can claim and act on. It also lets Claude report progress and per-item results back to the extension, and can import batches exported as JSON.

A Model Context Protocol (MCP) server that provides testing and debugging tools for Stripe integrations, including test clock management, customer and product management, and subscription testing.

Enables LLM agents to automate browser tasks through secure, sandboxed Rhai scripts executed in a WebAssembly VM, supporting DOM interactions and tab management via MCP tools.

The public MCP server for togo — docs, the plugin marketplace, and plugin submission, for any agent.

A comprehensive framework for building remote MCP servers on Cloudflare Workers featuring OAuth 2.1 authentication, PostgreSQL integration, and Stripe-powered paid tools. It enables developers to create scalable, platform-agnostic MCP tools with support for user registration and subscription-based functionality.

A starter template for building Model Context Protocol (MCP) servers, enabling developers to create and add custom tools that can be integrated with Claude Desktop.

A minimal MCP server framework for single-owner production deployments using OAuth authorization code flow with PKCE, providing endpoints for MCP, authorization, token, and metadata.

Enables AI agents and MCP hosts to drive a persistent headless Chromium browser through Playwright, navigating pages, mapping visible fields and actions, clicking, typing, scrolling, and capturing screenshots via stdio tool calls. It also powers a local AI Test Studio dashboard that generates and runs structured end-to-end test plans with assertions, per-step timing, and screenshot evidence.

An MCP server that automatically optimizes AI prompts using evolutionary algorithms, helping improve prompt performance, creativity, and reliability through iterative testing and refinement.

Enables querying health data from the Health Auto Export app on iPhone/iPad via MCP, allowing LLMs like Claude to access and analyze personal health metrics.

An MCP server that automates code reviews through linting, testing, and git diff analysis. It also generates conventional commit messages and detailed pull request descriptions based on file changes and code patterns.