"author:6" matching MCP servers:

Verifies AI outputs in real-time across 6 dimensions, with automatic retry and failover to ensure correct, complete, and reliable LLM responses before they reach the user's editor.

Enables AI tools to operate IBM i 5250 green screens, driving and testing interactive RPG programs by seeing screens, typing into fields, and pressing keys.

Test management over MCP: author test cases, run manual executions with per-case results, cut releases, and link automated tests to the cases they cover. Works against the hosted M00N Report service or a self-hosted instance.

Turns natural-language API descriptions into runnable k6 load tests, executes them, and returns structured performance metrics for AI-assisted reporting.

Enables AI assistants to author, debug, and run Snowfakery data generation recipes through the Model Context Protocol.

Zero-dependency MCP server and CLI that proxies, inspects, and analyzes JSON-RPC message streams between MCP clients and servers.

Enables Claude to interact with R package development workflows, including CRAN metadata lookup, dependency checking, testing, documentation validation, and release automation.

MCP server enabling Claude Code to capture screenshots of Windows applications through WSL2, allowing AI to diagnose UI errors and verify layouts.

Enables Claude to generate executable test cases from decision tables in CSV, JSON, or Markdown formats. Provides intelligent test planning guidance and generates Playwright/API test code with TypeScript support.

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

Enables comprehensive JavaScript code analysis and debugging using ESLint and custom pattern matching. Identifies syntax errors, potential bugs, code quality issues, and provides actionable fix suggestions for single files or entire projects.

Enables AI assistants to author, validate, inspect, and submit Neon3 NUI Flow interfaces through the Neon3 runtime, while managing app projects and diagnosing service state.

MCP server for TestRail API, providing AI assistants with 107 tools to manage test cases, runs, results, plans, and more. Supports API key, password, and SSO cookie authentication.

A Model Context Protocol (MCP) server implementation that allows AI assistants to run k6 load tests through natural language commands, supporting custom test durations and virtual users.

Enables AI-powered interaction with ZenTao 11.3 legacy systems, supporting task, bug, requirement, and test case management via MCP protocol.

MCP-first A/B testing server that enables agents to manage experiments (create, update traffic splits, read results, apply winning variants) from tools like Claude Code, with self-hosted Cloudflare backend.

Controls Visual Studio 2022 through MCP using COM/DTE automation, enabling file management, building, debugging, and breakpoint operations directly from Claude Code.

A validation layer for AI coding assistants that enforces explicit LLM evaluations on plans, code diffs, and tests to ensure safer and higher-quality code.

Enables agents to author, validate, and execute browser/API test plans with parallel drivers, assertions, and captured evidence such as screenshots and network logs.

Verdict MCP is a gatekeeper server that enforces code completeness, test coverage, and premium UI/UX standards on AI agents by auditing code, validating design tokens, and running tests with 95% coverage and 80% mutation score gates.