"MCP server for personalized AI course creation at aicourse.aiee.dev using remote streamable HTTP" matching MCP servers:

Enables MCP clients to verify publisher acceptance fixtures over Streamable HTTP by exposing an identify tool that returns the fixture name, version, transport, and supplied message.

Enables agents to submit request/response header literals over stdio and receive deterministic, specification-derived verdicts on CORS, RFC 9111 cache freshness, RFC 9110 conditional requests, and Vary matching, complete with rule IDs and clause references. Runs entirely offline with no third-party runtime dependencies, returning byte-identical output for identical input.

Zero-Config, Fully AI-Managed End-to-End Testing for all code gen platforms.

Enables LLM coding agents to inspect, control, and verify remote ROS2 robotics applications without a local ROS2 installation, supporting topics, services, actions, parameters, TF transforms, and automated test suites.

Spring AI Playground is a self-hosted web UI platform for building low-code tools and dynamically exposing them via built-in MCP server for AI agents.

Remote MCP server for verifying API key authentication header propagation and debugging inbound HTTP headers.

Checks a site for AI crawlers: which of 11 AI crawlers its robots.txt lets in, whether its llms.txt follows llmstxt.org, and what its home page says without scripts. Findings with evidence; no scores, no model calls, no telemetry.

MCP server that generates ISO/IEC/IEEE 29119-3 compliant test plan drafts from project information, providing a structured resource for the standard's test plan outline and a tool for draft creation.

A licensed, locally run Playwright E2E testing MCP server for Claude Desktop and Cursor. It lets AI coding agents inspect semantic accessibility structure, validate role-based browser flows with explicit assertions, and generate reusable Playwright tests.

MCP server for measuring, tracking, scoring, and improving AI agent reliability with tools for recording interactions, scoring reliability, analyzing failures, recommending improvements, generating audit reports, and checking MCP health.

Enables agents and teams to manage versioned delivery work items, role-tagged handoffs, revision- and source-bound evidence, QA gate evaluation, and release-owner attestations through MCP tools.

Enables scanning text for policy and safety issues, generating test suite outlines, and checking the configuration/health of the evaluation setup.

MCP server for AI-powered QA analysis. It enables analyzing test failures, identifying root causes, suggesting fixes, classifying defects, detecting flaky tests, and generating test cases and bug reports.

Enables input/output policy validation via MCP, including scanning text for policy and safety issues, generating test suite outlines, and checking configuration health.

An MCP server for validating AI-generated code through automated browser testing, evidence collection, and intelligent diagnostics.

Enables AI assistants to write and run mobile UI tests on Android and iOS simulators via natural language, supporting native and WebView apps without Appium.

A multi-task MCP server for AI code optimization and testing that integrates with VSCode/Cursor, CLI tools, and autonomous agents. It provides tools for running tests, generating code improvements, and managing objectives across different environments.

Enables AI assistants to answer QA questions in a single call, covering run reports, failure grouping by root cause, flaky versus regressed test detection, and coverage gaps. Also exposes raw TestRail API access when a question needs it.

Accessibility AI - MCP server providing AI-powered tools and automation by MEOK AI Labs

An MCP server that generates, runs, and triages tests by introspecting Python modules or web pages, using structured LLM outputs for scenario generation and failure analysis.