"Gin" matching MCP servers:

Enables MCP clients to open websites, capture screenshots at multiple breakpoints, and run automated design audits for issues like overflow, small tap targets, low contrast, missing alt text, tiny text, and clipped content.

Simulates real users navigating your app and delivers qualitative UX feedback, including persona-driven testing, auto-friction detection, and WCAG accessibility audits.

Scaffolds new MCP servers for the OpenSIN-Code ecosystem with templates for Python, Node, Go; provides tools to add tools, test, validate, register, publish, and audit servers.

Connects an LLM to specialized MCP servers via stdio, enabling authenticated GitHub repository, issue, file, and code operations alongside TF-IDF retrieval over employee PDF records and QA test-case generation and result validation. It exposes tools, a read-only resource, and reusable prompt templates so a client can discover and orchestrate multiple capabilities in one workflow.

Enables users to turn natural-language requests into validated, compilable Java test methods, grounded in a graph catalog to prevent hallucinated imports and ungrounded symbols.

Enables deterministic detection of pytest config-leakage that corrupts agent-benchmark grading, returning CLEAN/CORRUPTED verdicts and corrected pytest commands.

MCP server for remote debugging of Apps in Toss mini-apps, providing CDP relay and test runner capabilities.

Generates Playwright visual testing scripts from CSV data with advanced configuration management and environment switching capabilities.

Enables AI agents to interact with and automate Windows desktop applications, providing UI inspection, mouse/keyboard control, OCR, and window management for QA tasks.

Comprehensive MCP server for iOS Simulator automation, enabling AI agents to control simulators via tap, swipe, type, accessibility inspection, app debugging, and device management.

Enables agents to classify every claim into evidence tiers (FACT/INFERENCE/SPECULATION/UNVERIFIED) with attached evidence, forcing deterministic, evidence-gated reporting without LLM or network calls.

Converts natural-language requests into validated, compilable Java test methods, grounding all symbols in a graph catalog and enforcing strict correctness via multi-layer validation.

Enables AI assistants to interact with TrafficMorph for load-testing and CI-failure triage, including run management, profile lifecycle, and domain verification through natural language.

Provides browser automation tools for coding agents—goto, browse, goal, page_state, and summary—so agents can drive real pages through auditable, gated decisions and record traces for offline replay.

Frontend expert for Claude Code. Captures screenshots, runs Lighthouse + axe-core accessibility audits + code analysis, generates an expert review, and auto-fixes everything — 12 tools, completely free for Pro plan users.