"A simple test or quiz" matching MCP servers:

Enables MCP-compatible clients to execute Playwright-based UI and API test suites (login, inventory, checkout, API, regression) and receive structured JSON test results.

An MCP server that provides standardized tools for AI agents to interact with the Test MCP Feb4 API. It enables LLMs to access API endpoints through asynchronous operations and standardized Model Context Protocol tools.

An end-to-end test MCP server built with FastMCP that exposes a REST API as a set of tools for AI agents. It enables LLMs to perform CRUD operations on an upstream API by mapping HTTP methods to MCP tools.

A simple HTTP server to validate MCP infrastructure for the Wazza MCP client, exposing endpoints for tool discovery and calling.

An MCP server that enables AI agents and LLMs to interact with the Test MCP Server Feb6 USDT API through standardized tools. It provides features such as Docker support and async operations for efficient integration.

Provides AI agents and LLMs access to the Nikola TEST MCP API through standardized MCP tools for seamless integration and interaction.

An MCP server that mocks payments, third-party API responses, and test data to enable QA flows for donation, checkout, SIP, and subscription pages without depending on a live gateway.

This MCP server provides access to the Test mcp server Traia API, enabling AI agents and LLMs to interact with its endpoints through standardized tools. It features asynchronous operation handling and simple deployment options via Docker for efficient integration.

Provides AI agents and LLMs access to the test 12 API (Petstore Swagger) through standardized MCP tools for seamless integration and interaction.

Enables AI agents and LLMs to interact with the Test MCP Mar19 TRAIA API through standardized tools and the Model Context Protocol. It provides seamless API access for automated workflows with support for Docker deployment and asynchronous operations.

Enables AI agents and LLMs to interact with the TEST MCP USDT API through standardized tools using the Model Context Protocol. It provides a containerized environment for executing USDT-related API operations and asynchronous tool handling.

An MCP server that provides access to the Test MCP Feb 5 API, enabling AI agents to interact with its endpoints through standardized tools. It supports seamless AI integration via the Model Context Protocol and is designed for easy deployment using Docker or Google Cloud Run.

An MCP server that enables AI agents to interact with the Test MCP Mar19 USDC API through standardized tools. It supports seamless integration via the Model Context Protocol and features Docker-ready deployment.

MCP server that analyzes OpenAPI/Swagger REST API contracts and generates BDD Gherkin feature files and TypeScript Jest regression test scripts.

Turn any OpenAPI 3.x spec into a runnable, stateful API environment for AI agents. Test real integration flows — multi-step workflows, persistent state, webhook delivery, retries, and edge cases — instead of guessing from docs or mocking endpoints. Generate committable markdown reports directly from Claude/Cursor. Includes 50+ pre-validated APIs like Stripe, GitHub, Twilio, OpenAI, and more.

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.

Probes your live API and classifies why each endpoint failed (root cause, evidence, and a calibrated confidence level), exposed over MCP so your AI assistant debugs from evidence instead of guessing. Works with FastAPI, Express, Next.js, tRPC, and GraphQL.

Enables MCP agents to create test webhook endpoints, read incoming requests, validate payloads against Hookline validators, and manage mock responses directly from the editor.

A reusable MCP server for QA automation testing that enables running tests across web apps, APIs, CLI tools, and more directly from Claude Desktop.

Converts natural language queries into valid GraphQL queries and executes them against GraphQL APIs. Includes schema introspection, query validation, execution with authentication, and query history tracking.