"Automating a QA End-to-End Workflow" matching MCP servers:

mcp-test-runner is an MCP server that lets your AI client (Claude / Cursor / Codex / Gemini) drive your entire QA loop end-to-end: * Run tests across pytest / Jest / Cypress / Go / Maestro — single MCP surface, one env var to switch * Analyze a URL (Web DOM probe) or a live mobile screen (Maestro hierarchy) to extract testable modules + candidate cases * Generate runna

A local MCP server that routes QA reviews through deterministic profiles and risk-based escalation while keeping source evidence and final decisions with the host.

Evaluates MCP servers by running read-only checks and returning a graded report with an A-F letter grade.

Analyzes Playwright test results to provide structured QA insights, including test metrics, failure analysis, bug report drafts, and release-quality recommendations.

A Model Context Protocol server that exposes AI workflow templates as callable tools, enabling MCP clients to list templates, inspect their input/output schemas, and execute them synchronously or asynchronously to get structured results.

An MCP server that brings senior-QA discipline to AI coding assistants, enabling test planning, TDD, mutation testing, and code review.

Enables AI-driven visual QA by capturing web pages and comparing screenshots with SSIM to detect visual regressions, changed regions, and previews, while supporting authenticated sessions and OAuth for apps behind login.

Enables AI agents to drive native 1C TestClient QA automation over stdio or authenticated streamable-HTTP transports, running BDD/Gherkin scenarios, reading and verifying managed forms, and performing target-bound lifecycle and UI operations. It also supports JUnit/Allure reporting and an optional authenticated Windows host bridge for desktop input and screenshots.

MCP server providing three QA tools: parse JUnit XML reports, detect flaky tests across multiple runs, and evaluate quality gates with pass/fail decisions.

An MCP server that enables automated quality control for generated images, evaluating them against reference images and rules to return structured scores and issues.

Evidence-driven quality testing for Model Context Protocol servers. It connects as a real client, captures the complete model-facing contract, identifies agent-usability risks, measures context cost, and executes only explicitly approved target calls.

Enables personal workflow management by turning Notion into a task and knowledge system via slash commands and 19 integrated MCP tools. It supports project-based task tracking, subtask management, and automated note summarization directly through the Claude interface.

A specialized MCP server for QA engineering. It provides tools for user story analysis, test strategy, BDD/Gherkin scenarios, contract testing, integration tests, performance plans, security checklists, and CI/CD pipeline generation, accessible from any MCP-compatible IDE or client.

Enables MCP clients like Claude to query Chinese A-share market data, including K-line charts with forward/backward adjustment, limit-up and limit-down pools, per-stock fund flows, index quotes, and stock news, with automatic symbol normalization and retry handling for throttled data sources.

Provides A-share (Chinese stock market) quantitative analysis through tools for stock screening, northbound capital flow tracking, dragon-tiger list analysis, margin trading, sector analysis, technical indicators, IPO info, and limit-up/down statistics using akshare data.

A research-informed MCP server that enables natural language question answering over local dataframes (CSV, Parquet, or Pandas) with safe, read-only execution and typed analysis plans.

Enables Cursor users to track local workflow state and receive contextual nudges, daily summaries, and Windows toast notifications for sessions, edits, MCP usage, and plans.

MCP server for Plane, including self-hosted Plane. Lets Claude Code, Codex, Cursor and other agents plan, start, and complete Plane work items under your team's rules, with dry-run previews, idempotent creates, project briefings, and factual completion records. Install: uv tool install plane-workflow-mcp

An MCP server that reads test reports and provides regression analysis tools for comparing runs, identifying regressions, fixes, and persistent failures.

An MCP server that enables AI agents to pause and request human approval or information via Slack, Telegram, or macOS dialogs before proceeding with actions.

Read-only MySQL MCP server that lets AI agents list tables, describe schemas, and run SELECT/SHOW/EXPLAIN queries with a row cap, bound to a single database for safety.

Automates GitHub workflows (branch creation, testing, commit/push, PR) through natural language instructions in Claude Code.

Enables Claude or any MCP client to read, create, and edit GoHighLevel workflows through a logged-in Chrome session, with no API key or marketplace app install. Provides 30 tools for workflow CRUD and publishing, step-level patches, folder management, and location data such as tags, users, pipelines, and custom fields.

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.

Enterprise web automation testing MCP server that controls local Chrome via Playwright CDP, providing tools for page element analysis, interaction, dynamic layer exploration, VTable scene graph, test recording, and Shadcn-style Excel export.

Enables searching and retrieving documentation from crawled documentation sites as an MCP server, allowing coding agents to query real docs instead of relying on training data.

Streamlines GitHub PR workflows, monitors CI/CD, and sends Slack notifications. Provides tools for PR analysis, CI monitoring, and follow-up tasks.

Exposes the workflows saved in a ComfyUI server (local, remote, or vast.ai) as MCP tools, letting agents list them, inspect their inputs, and run them with their own prompts, images, seeds, and per-run node toggles. It also reports server/GPU status, tracks and downloads job outputs, and uploads images or browses model folders.

Enforces mandatory testing before merging via isolated worktrees, with build verification, auto-rollback, and persistent memory. It provides full-cycle development automation including context health tracking.

Provides a local-first, governed MCP foundation where QA engineers can check server health and capabilities, read a status resource, use an orientation prompt, and validate non-secret configuration, profiles, and credential references without exposing secrets. External provider integrations, test execution, and release reporting are not yet implemented and remain scaffolded.