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

A full-stack API automation testing server that parses OpenAPI/Swagger/Postman/HAR specs, generates comprehensive test scenarios and executable code, and provides AI-powered review and auto-fix.

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

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.

Enables natural-language chat-driven API testing, letting users upload API specs, run deterministic pytest checks against live targets, inspect results, create defects, and view failure trends.

Enables MCP-compatible clients to discover API endpoints from OpenAPI/Swagger specs, send HTTP requests, validate responses, and analyze status codes for automated API testing.

A standardized MCP server designed for testing integration with the Des MCP Server Testing API. It allows AI agents to interact with testing endpoints using tools implemented via the Model Context Protocol.

Enables HTTP API testing (GET, POST, PUT, DELETE) via the Model Context Protocol, powered by Playwright.

A local testing tool for APIs, web browsers, and phone UI using the Model Context Protocol.

Enables LLMs to interact directly with generated REST APIs by exposing CRUD actions as MCP tools and read-only data as MCP resources.

An MCP server for the YApi platform that allows AI assistants to search, create, and manage API documentation directly within tools like Cursor. It supports multi-project management and seamless integration into AI-driven programming workflows for interface maintenance.

Enables LLMs to discover and use generated REST API services as Model Context Protocol tools and resources, supporting CRUD actions and read-only data access without custom glue code.

A Model Context Protocol server for LLM fuzzing and testing, providing secure access to multiple AI providers through a standardized interface.

Implements a secure MCP server with API Key and JWT authentication, providing tools like echo, login, secure_action, and admin_action. Includes MCP Inspector integration for testing and debugging.

Provides AI agents with comprehensive knowledge of the Karate DSL framework for API testing, UI automation, and performance testing.

HTTP Inspector MCP Server enables sending arbitrary HTTP requests, viewing history via a web panel, and taking screenshots of the panel for AI penetration testing workflows.

Enables AI agents in Copilot Chat to autonomously plan, generate, and self-heal Playwright UI and API tests by connecting to a local browser runtime.

An MCP server that integrates various penetration testing tools, enabling security professionals to perform reconnaissance, vulnerability scanning, and API testing through natural language commands in compatible LLM clients like Claude Desktop.

Enables triggering API, UI, and performance test suites through the /run/run_api_tests, /run/run_ui_tests, and /run/run_perf_tests tools, supporting one-click execution against configured environments.

Enables AI agents to connect to any GraphQL endpoint, introspect schemas, and execute queries or mutations through auto-generated tools.

Automated QA for .NET microservice backends and React frontends, enabling API contract testing, UI crawling, YAML flows, and run diffing against a stage environment.

Enables load testing and validation of an order API by generating synthetic orders, previewing them, and sending batches while enforcing guardrails like bounded counts and fixed seeds for replay.

A TypeScript-based MCP server that enables testing of REST APIs through Cline. This tool allows you to test and interact with any REST API endpoints directly from your development environment.

Enables testing how different MCP clients handle tool results containing both content and structuredContent, including outputSchema enforcement and mismatch scenarios.

Webhook management and testing tools for AI agents. Provides tools for sending, validating, generating, and debugging webhooks.

A generic MCP server that dynamically exposes any OpenAPI-documented REST API to LLMs by auto-discovering endpoints. It provides tools for exploring API capabilities and making authenticated requests directly through natural language interfaces.

An MCP server that provides tools to interact with the JSONPlaceholder fake REST API for testing and prototyping, supporting CRUD operations on posts, comments, todos, and users.

Enables interaction with Webhook.site to create, manage, and monitor endpoints for capturing HTTP requests, emails, and DNS lookups. It provides 16 tools for testing webhooks and inspecting incoming data through the Model Context Protocol.

Enables testing and validation of APIs for AI agent compatibility, providing scores, grades, and actionable recommendations.

Generates schema-compliant mock data from OpenAPI JSON Schema definitions using AI, enabling seamless testing without manual fixtures.

A Model Context Protocol (MCP) server for authenticated REST APIs. Drop it into any project, point it at your API, and let AI agents call endpoints — with auto-login, 2FA support, Swagger spec fetch, and fuzzy endpoint search — all without writing a single line of auth code.