"How to test a React app" matching MCP servers:

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.

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.

Enables AI agents to call real API endpoints and verify responses against OpenAPI specs, supporting contract testing, auth presets, spec diffing, and health checks.

Enables users to turn any API's documentation into a tested MCP server whose tools expose the API's own operations, with linting, contract tests, and live verification. It accepts OpenAPI/Swagger, Postman, RAML, WSDL, GraphQL, RSS, and HTML docs.

Converts REST API code (like NestJS controllers or FastAPI endpoints) to Postman collections and environments, helping developers automatically sync their API endpoints with Postman.

Enables AI agents to test WCF/SOAP and REST services directly, with WSDL discovery, authenticated calls, and deterministic assertions. Supports YAML multi-step scenarios with variable extraction, JSONPath/JSON Schema checks, and CI runs without spawning PowerShell or curl.

An MCP server to communicate with the App Store Connect API for iOS Developers

Enables AI agents to drive API testing from YAML definitions, executing and chaining requests without hand-written curl, while keeping credentials out of the conversation and responses token-cheap, plus a VANDER-based QA review of endpoints.

It enables AI agents and CI to run profile-driven SOAP/REST service tests with automatic login/session handling, test-customer locking, masked transaction-log/HAR catalog import, and cross-environment scenario execution.

Provides access to Ics Ap Apis API endpoints with authentication support, enabling API interactions through the MCP protocol.

A tool that creates MCP (Model Context Protocol) servers from OpenAPI/Swagger specifications, enabling AI assistants to interact with your APIs.

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

A bridge that enables any LLM to access and interact with documented REST APIs through the Model Context Protocol (MCP).

Enables users to test and interact with any REST API endpoints directly from their development environment through MCP clients such as Claude and Cline. Supports GET, POST, PUT, DELETE, and PATCH requests with configurable authentication, custom headers, SSL verification, and response size limits.

Enables agents to discover how a website serves its data, verify sources with evidence, export OpenAPI 3.1, and generate tested TypeScript or Python clients.

基于fastmcp-ts开发的接口测试mcp工具，ai可以通过调用该工具对接口进行测试。

Enables users to test and interact with REST API endpoints from MCP-compatible clients, supporting multiple HTTP methods, authentication, custom headers, SSL verification settings, and configurable response-size limits.

Enables users to test, debug, and interact with REST API endpoints from MCP clients such as Claude and Cline, with support for multiple HTTP methods, authentication, custom headers, SSL verification, and response-size limits.

Enables users to test and interact with REST API endpoints directly from MCP clients, with support for GET, POST, PUT, DELETE, and PATCH requests, authentication, custom headers, SSL verification, and response-size limits.

Enables users to test, debug, and interact with REST API endpoints directly from MCP clients such as Claude and Cline. Supports multiple HTTP methods, authentication, custom headers, SSL verification controls, and configurable response size limits.

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

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.

Converts any REST API endpoints into MCP tools, enabling AI clients like Cursor and Claude Desktop to call internal services directly.

Provides a testable gateway path for running a local MCP-style server in hosted-like conditions, with tenant-isolated reads, approval-denied writes, deterministic failures, and smoke-test verification.

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.

A Spring Boot REST API testing server that supports functional testing with assertions, database queries, and performance testing with configurable concurrency and stress testing.

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.