"MySQL Query Basics and Examples" matching MCP servers:

A universal MCP server that dynamically generates and simulates actions for any query, maintaining state between sessions.

An MCP server that exposes Swarm's fact reconciliation to AI agents, allowing them to query scope, evidence gaps, and review requirements without being able to issue a final verdict.

Crawls and grades MCP servers deterministically, providing a registry, leaderboard, and API to query server grades and submit feedback.

Enables Cursor AI to query SonarQube for pull request metrics, issues, file issues, and duplication reports directly, without manual data export.

Connects AI coding assistants to TestCollab for managing test cases, plans, and suites directly through natural language. It enables users to create, update, and query testing resources within integrated development environments and AI chat clients.

Enables building and evaluating LangGraph agents over a protocol-level MCP server to measure failure rates across four agent topologies.

MCP server for fenestra, a pure-Rust native GUI framework. Renders and verifies native UIs headlessly (no display, no GPU): a typed accessibility tree, semantic query/interact, contrast/focus-order/hit-target checks, screenshot diffing, and motion filmstrips.

A temporary MCP server that scrapes Bitrise Insights using Playwright to fetch flaky test data, providing tools to query workspace and app test insights until the official API is released.

Enables users to check HTTP status codes, find broken same-origin links, review SEO basics, and inspect common security headers with polite, permission-based crawling from any MCP client.

Windows桌面截图与窗口自动化工具，支持后台操作、不抢焦点，可截取窗口/屏幕、模拟鼠标键盘、点击菜单等。

Allows LLM agents to query Playwright JSON test results for run summaries and failure information.

Enables Claude Code to analyze flaky tests, find failure patterns, suggest fixes, and query test history, failure patterns, and correlated failures from Test Ledger.

Enables defect management on the SEPP platform, allowing users to query defects, retrieve user project information, and set up automated monitoring with alerts for new or unresolved defects via webhook or email.

Enables AI agents to query component governance rules, validate component props, and generate development prompts for questionnaire editors.

Enables agents and users to query mapped UI flows, retrieve immutable revision-bound browser evidence and screenshots, compare flow changes across revisions, and inspect coverage gaps or UI impact.

A Model Context Protocol (MCP) server that provides comprehensive documentation and usage examples for the AutoFixture testing library.

Enables AI coding tools to query and validate analytics event specifications maintained as Wiki markdown tables, providing structured access to events, properties, and implementation details through MCP.

Enables AI-driven browser automation with advanced form testing, batch operations, and intelligent element extraction for MCP-compatible applications.

A Model Context Protocol (MCP) service that enables integration with Mantis Bug Tracker, allowing users to query and analyze bug tracking data through natural language commands.

Automates Android Virtual Device operations by enabling users to start emulators, execute development commands, and capture screenshots. It facilitates Android testing workflows by returning command outputs and visual feedback directly to AI assistants.