Lastest Visual Regression Testing - Cloud/Self-hosted version

QA regression testing tool for 'racing car' type of simulations. Analytics, Data visualisation, LLM chat and AI summary

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.

CARBON AI testing harness with Jay: risk-based software testing, exploratory and regression checks, accessibility, triage, and local evidence reports via MCP.

MCP server: snapshot tests for tool-call traces. Capture, normalize, and diff agent tool-use traces to catch silent regressions. Wraps @mukundakatta/agentsnap for Claude Desktop, Cursor, Cline, Windsurf, and Zed.

Code-aware browser testing for AI coding agents. 14 MCP tools, CLI workflows, regression memory, and human-readable QA reports.

Give your AI agent eyes (screenshot live pages), ears (Sentry/Datadog/Rollbar errors + runtime checks), hands (verify fixes worked), and root-cause tools (source-map trace resolution, git regression blame), and debug tools (run tests, stream logs, query y

MCP tools that help coding agents test web apps systematically, find bugs, and deliver evidence-backed reports and regression tests for supported findings.

Eval-driven SQL reliability for AI agents — generate, validate, safely execute, and regression-test LLM SQL. MCP + FastAPI gateways, execution-truth evals, CI regression gate.

Screenshot capture, AI analysis, OCR, visual regression testing, token compression — headless server + MCP tools for AI coding CLIs

AI-powered MCP server for mobile testing: 20 free tools for iOS & Android automation via Claude/Cursor. Natural language commands, Appium-based, npx ready. Pro adds OCR, visual regression, parallel execution.

Taichi is a language-agnostic, plugin-driven test orchestration framework — run API, gRPC, UI, static, and regression tests with one CLI, extend via third-party skill plugins in any language, integrate AI agents for auto-fix loops, and ship JUnit/JSON/HTML reports.

Argus — the QA layer for AI-assisted development. Claude-native (MCP) Chrome audits across 67 categories — errors, visual regressions, a11y, security, performance — no test files, secrets redacted by default (Aegis).

Verified statistical inference for AI agents -- classical and non-parametric hypothesis testing, correlation/regression, effect sizes, power/sample-size, multiple-comparisons correction, a test-recommendation helper, and a batch pairwise-comparison tool, as a CLI and an MCP server

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.

Open-source self-improving QA agent for software teams. A test harness with memory. Write tests in natural language for web and mobile. agent-qa learns from every run, adapts to UI changes, and catches regressions before you ship.

Visual testing for AI agents u2014 screenshot capture, pixel-perfect diff, baseline management, element detection, layout analysis. 7 tools: capture_screenshot, compare_screenshots, set_baseline, check_regression, detect_elements, analyze_layout, batch_test.

crispy-profiling: React re-render profiler and snapshot tests. Finds unnecessary re-renders, explains why, and fails CI on regressions. CLI, MCP server and Agent Skill.

A comprehensive MCP (Model Context Protocol) server providing 40+ statistical analysis tools forAI assistants. Supports descriptive statistics, hypothesis testing, regression analysis, and advanced statistical computations using NumPy and SciPy.

FlowLens is an open-source MCP server that gives your coding agent (Claude Code, Cursor, Copilot, Codex) full browser context for in-depth debugging and regression testing.

Local-first MCP server that gives AI coding agents repo and org memory from GitHub PR history, code, tests, regressions, architecture, and cross-repo impact.

MCP server for the Federal Register. Track proposed rules, final rules, notices, executive orders, FAR cases, and comment periods. Searches Federal Register documents since 1994 with full-text and metadata filters. Includes comment period tracking and FAR case history workflows for monitoring acquisition policy changes. **8 tools.** No authentication required. Hardened across 5 audit rounds with 182 regression tests. Built for GS-1102 contracting officers and regulatory analysts.

MCP server for the Electronic Code of Federal Regulations (eCFR). Read FAR, DFARS, and all agency FAR supplements with point-in-time version history. Provides FAR clause lookups, DFARS lookups, agency FAR supplement access, version history, and full-text CFR search across all 50 titles. Updated daily from the source of record. **13 tools.** No authentication required. Hardened across 6 audit rounds with 240 regression tests. Built for GS-1102 contracting officers and acquisition policy researchers.

MCP server for GSA Per Diem Rates. Federal travel lodging and M&IE rates for IGCEs, travel CLINs, and contractor travel cost estimation. Look up rates by city, state, or ZIP across all CONUS locations. Returns monthly lodging rates with seasonal variations, M&IE breakdowns, and first/last day travel rates at 75%. **6 tools.** Optional free api.data.gov key for 1,000 req/hr. Without a key, falls back to DEMO_KEY at 30/hr, 50/day. Hardened across 7 audit rounds with 413 regression tests including two live audits. Built for GS-1102 contracting officers and proposal pricing teams.

Regression memory for coding agents — seal how your repo behaves, then check over MCP (or in CI) that an edit didn't regress it: pass/drift/regressed/missing. With seal history, bisection, and staleness queries.

Prove that what already worked still works after an agent changed the code. Picture checks, guards for fixed bugs, a pre-release walkthrough and known-good markers — as a CLI and as an MCP server.

Prove that what already worked still works after an agent changed the code. Picture checks, guards for fixed bugs, a pre-release walkthrough, and known-good markers — as a CLI and as an MCP server.

Standalone MCP server for SnapDiff

Autonomous QA agent - runs browser-based tests via MCP

Catch the moment your AI agent drifts from its rules.

DiffiCat clients: CLI, GitHub Action, Claude Code plugin and MCP setup

Regression-Aware Context Compaction & Witness Replay for Coding Agents (CEGAR-Harness)

Record how any CLI behaves (flags, stdin, exit codes, edge cases) and prove your Rust/Go rewrite behaves the same. CLI + MCP server.

🐟 The testing assistant for coding agents. Reads your repo, connects to your deployment, ranks what's untested, writes real tests, runs them — driven over MCP.

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

Witness — browser acceptance checks for agent-built web apps. CLI, MCP, AI-drafted checklists, visual regression, and multi-browser reports.

CUIT — the deterministic feedback edge for agentic UI engineering. Recorder + harness + spec-gen + data warehouse. complex-ui-tester is the canonical npm/repo name.

Find which single change broke your test. Splits a diff into hunks and delta-debugs them against a failing test until it proves the culprit. CLI and MCP server.

A safety net for SQL Server stored procedures: capture what a procedure does today and verify that changes by humans or AI agents don't break it. CLI, MCP server and GitHub Action.

MCP server that gives AI coding agents visual diff capabilities for UI work

Autonomous QA scanner: point it at your running app and it walks the real user flows in a headless browser and reports what's actually broken: broken pages/links, console and network errors, empty/placeholder data, broken forms, state-loss, bad loading/er

Render testing built for AI agents: a map of the screen instead of screenshots, actions by intent, map-to-map comparison. MCP server and library. Verified by Healer.

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.

MCP server for pixel-level image comparison using pixelmatch

Give AI eyes to see your frontend. Design → pixel-perfect code with visual verification. MCP server for Claude Code & Cursor.

Let AI agents (and you) see Compose UI without an IDE: render @Preview to PNG, compare with designs, MCP server for Claude and other agents.

Provider-neutral prompt calibration engine with sensitivity-ranked meta-axes, hard-gate x soft-score fitness, walk-forward ship gates, guarded/expedition profiles, and explicit capability/risk reporting across Anthropic, OpenAI, Gemini, and local OpenAI-compatible backends. Optional sub-tools (mini-omega-lock, mini-antemortem-cli) distribute separately and plug in via the omegaprompt.preflight interface.

Standalone MCP server for SnapDiff. Exposes visual-diff, screenshot capture, change detection, and HTML-to-image tools to local agents (Claude Code, Cursor, Cline, Zed, Continue, ...) over stdio. Hits the public SnapDiff REST API; bring your own SNAPDIFF_

Claude Code QA agent with memory, plus a read-only MCP server (verdict-qa-mcp on PyPI): baseline → delta runs (NEW/REGRESSED), a fact harness so the model judges while the system measures, hash-chained run history, flaky quarantine with expiry, and an exit-code release gate for CI. Ships six scored eval fixtures — misses published.