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A Model Context Protocol (MCP) server designed to help track pytest failures and resolve errors faster using the 9 principles of debugging.

Skar turns a captured AI agent trace into a committed pytest regression test. MCP server + CLI. Use when a tool-using agent run fails and you want to lock the failure as an executable test.

Regression testing for LLM applications in CI. Sample your reference and a score drop is read against how much that score moves on its own. A flip from pass to fail is always a regression. Python CLI, pytest plugin, MCP server.

AI 測試大師 — MCP server driving pytest / Jest / Cypress / Go / Maestro. Analyze, generate, run, advise. Web + Mobile (iOS/Android/BlueStacks).

Detect pytest config-leakage that corrupts agent-benchmark grading. Deterministic, no-LLM. Catches the VulcanBench --cov addopts mis-scoring bug.

MCP server providing code quality checks (pylint and pytest) with smart LLM-friendly prompts for analysis and fixes. Enables Claude and other AI assistants to analyze your code and suggest improvements.

AI-callable test automation as an MCP server: generate, run, triage and heal tests (Playwright/pytest) from any MCP-compatible AI agent.

AI-driven cross-platform UI automation engine for Android, iOS, and Web. Your Agent inspects, decides, and acts — ScreenForge executes and generates pytest scripts with self-healing.

A modular agentic workflow for automated customer support, built with LangGraph, LangChain, and multi-server MCP tools (KB, Account, Memory). Supports full ticket lifecycles, database integration, and end-to-end pytest coverage.

Root cause in seconds. Evidence, not intuition. Analyzes 24 frameworks (Playwright, Jest, Cypress, pytest, Go, RSpec, and more) by tracing git history, logs, and config with a 10-phase pipeline. No guesses, no fixture noise.

Local-first MCP server that checks test doubles against the production code they stand for, so a mock that outlived its target stops passing silently. Reads Vitest, Jest, PHPUnit, Mockery, pytest-mock and mockall without running a single test.

🤖 Multi-agent AI dev team in Python: turns a feature request into a planned, coded and tested project. LLM agents for planning, backend, frontend, QA & security; a verifier runs real tests and loops failures back. FastAPI dashboard, MCP server, pytest, CI.

Open-source software test intelligence for development teams: manage test reports and software test releases, find the issues behind failing tests (failure clustering, flaky test detection, root causes with a local LLM) and get a GO / NO-GO release verdict. JUnit, pytest, Playwright, Cypress, TestNG, Allure, Robot, Cucumber.

The testing framework CAD never had — automated validation, interference detection, and structural analysis for STEP assemblies. Like pytest for mechanical design.

Judge hardware timing, serial boot logs and decoded traces against YAML contracts. pass/marginal/fail with evidence. MCP server, pytest plugin, GitHub Action.

Run a project's tests and get small structured results over MCP: pytest, unittest, jest, vitest. Failures with trimmed tracebacks, rerun-failed, flaky detection, hard timeout that kills the whole process tree.

🔌 Exposes MEOK over MCP — Test MCP — golden-file + schema-drift + tool-failure tests for any MCP server. Drop-in pre-publish gate, pytest template, HMAC-signed reports, Shields.io grade badge. By MEOK AI Labs.

8-phase evidence pipeline for Playwright, pytest, Jest, Cypress, Newman, k6, and JUnit failures. Scans git history, application logs, and config to produce confidence-scored root-cause hypotheses. Exposes as MCP server, CLI, and streaming web UI.

Run a project's tests and get one JSON answer: pass/fail counts and every failure with file, line and message, for node:test, vitest, jest, pytest, go, cargo and dotnet. Re-runs failures alone to tell real from flaky. CLI, MCP server, Claude Code and Code

Cross-platform desktop test runner and MCP server. Find, run and debug tests in multiple projects at once, with a separate queue and history for each. Supports Go, .NET, Playwright, Vitest, Jest, pytest, Cargo, Maven, Gradle and Cypress. AI agents like GPT, Gemini and Claude can run and diagnose tests over MCP.

Free MCP server and agent skill that runs, diagnoses and fixes failing Playwright tests (TypeScript and pytest), and proves each fix by re-running it. Flaky verdicts, finds the commit that broke a test, blocks fixes that check less, posts CI fixes as PR suggestions, accessibility and Web Vitals audits. MIT, no account.

Stable since v1.0.0 — MCP server + cross-host agent skill (Claude Code / Codex / OpenClaw / Hermes) for QA testing across pytest / Jest / Cypress / Go / Maestro / Schemathesis / Newman, plus v1.1 Edge AI Runner (RTSP + YOLO). 22 frozen tools, bilingual EN/zh-TW QA knowledge, AI Visual Challenge Solver (reCAPTCHA / hCaptcha), OWASP API Top 10 (2023) scanner, universal qa_plan + verify bookend across 5 core tools (AI 測試大師)

Tools for developing and testing QField and its plugins

QualityPilot: 基于 MCP + RAG 的智能测试自动化平台 — 测试用例生成、API/UI 自动执行、失败分析、Bug 报告

ACTA · API MCP com ferramentas de integração entre IA, PostgreSQL, MongoDB e Qdrant · Inteligência Artificial

MCP server for AI-assisted Python debugging using debugpy and Debug Adapter Protocol

An MCP-powered AI project explorer that exposes GitHub repositories as tools for AI assistants like Claude, Cursor, and ChatGPT.

AI-driven Universal QA Skills, MCP Server, Precision Testing (TIA), and Evals for all AI coding agents.

MCP server for AI-powered code analysis — test generation, security audits, coverage analysis, and refactoring suggestions

A workstation-local event bus: your AI coding agents wait on events instead of polling — and hear each other fail.

MCP server exposing MetaTrader 5 market data to LLM agents as typed, read-only tools. No order placement code exists in it

Stop feeding your AI outdated context. This Context7-inspired MCP server ingests and searches docs in real-time to keep your AI grounded in reality 🌟

MCP server for Rowsmith: fake test data (CSV, JSON, SQL) from a schema, invalid values with reasons, and a payment sandbox that never moves money. Free, no key.

Context-aware orchestration agent with a self-hosted MCP server, deadline-aware study planning, task management, and voice-enabled interaction.

Production-style MCP server (Python/FastMCP): 8 typed tools for GitHub, Postgres, deploy status, and sandboxed filesystem — with SQL/path safety gates, dry-run writes, Docker, and CI.

A Python Model Context Protocol (MCP) weather server for Claude using Open-Meteo, with structured error handling, differentiated tool descriptions, and unit-tested forecast logic.

Android automation from Python: test your apps on real phones, script the tasks you repeat and run many phones at once. No ADB, no USB cable, no root.

DataPulseSSE is a lightweight FastAPI-based MCP server that uses Server‑Sent Events to stream asynchronous responses per client session. It includes simple Bearer auth (optional JWT), sample tools (get_time, fetch_url), and an adapter for hosting on Azure Functions.

Local-first MCP server and CLI that audits test suites for false-green tests: tautological assertions, mock-contract drift, and mock hygiene. Read-only and deterministic, across TypeScript, PHP, Python and Rust.

Guarded AI operations agent using OpenAI Codex, MCP, FastAPI and SQLite with human-approved write actions, audit logging, webhooks, and automated evaluations.

A test selector that says when it doesn't know. Names the user journeys a diff could break, runs their tests, and refuses to report green it can't back up.

Proves software work: triages failing tests to a cause with evidence, says whether a test could ever fail, breaks your code to see if the tests notice, reads what a migration does to a live database, and gives one verdict on whether a change is done.