"Informational MCP Servers with Croissant Dataset Format Support" matching MCP servers:

Validates support ticket data by checking required fields and returning a structured completeness status.

Provides a read-only MCP bridge that lets Claude Web inspect workspace files, git state, and recorded test results while Codex remains the sole executor of changes.

Free, MIT-licensed MCP testing harness with Jay: risk-based testing workflows, exploratory and regression checks, accessibility investigation, bug triage, disposable demos, and protected local evidence reports. Runs locally via @testers-ai/carbon-mcp; the coding agent supplies model, browser, and shell access, and analytics defaults off in the npm edition.

Provides a framework for running multiple MCP servers using FastAPI, stdio, and streamable-http transports, with an echo tool for testing and integration with MCP Inspector.

An MCP server that enables Claude Code and other MCP clients to take screenshots of the full screen or specific windows, with support for repeated captures over intervals.

An automated testing MCP server that converts test cases into a fixed JSON format, runs them case-by-case, and provides a visual report with review support for cases that cannot be automatically judged.

Checks that every computed number in a Markdown document still matches the formula that produced it, and repairs it under an explicit write gate — so an agent's correct formula can't ship with a wrong total. Exposes every VisiMark command as a tool (check, explain, eval, infer, format), the authoring discipline as resources, and the orderings an agent gets wrong unsupplied as prompts. Read-only by

Enables natural language-driven creation and execution of autonomous-vehicle scenarios in the CARLA simulator, with validated primitives and replay support.

Agentic Hardware-in-the-Loop (Agentic HIL) lets coding agents develop firmware on real embedded boards: flash, reset, read UART and exchange CAN traffic, diagnose and fix. Local, policy-gated MCP tools support OpenOCD, pyOCD and STM32CubeProgrammer, with pytest for CI.

Validates and tests llguidance grammars (Lark format), providing grammar validation, batch test execution, and syntax documentation.

Browser acceptance testing for AI agent deliverables: verify agent output in real Chromium from JSON specs, with MCP server, visual regression, multi-browser support and GitHub Actions.

Provides temporary email services for AI agents, enabling closed-loop verification of email-based registration flows with multi-provider support, auto-registration, and verification code extraction.

Enables AI assistants to debug JavaScript and TypeScript applications by connecting to Chrome DevTools Protocol-compatible debuggers, allowing them to set breakpoints, step through code, inspect variables, and evaluate expressions with full source map support.

.FAF (Foundational AI-context Format) with 50+ tools - Only Persistent project context that integrates seamlessly with Claude Desktop workflows. Officially merged (#2759) Anthropic MCP server.

Enables AI clients to analyze saved Unity Profiler captures by listing captures, summarizing frame times, identifying the most expensive main-thread markers, and comparing groups of captures marker by marker. It reads .highlights and exported marker JSON, with optional Unity Editor bridge support for exporting per-marker statistics.

Enables building and evaluating shopping/support agents against a deterministic synthetic retail store with in-memory fixtures. Provides tools, resources, and prompts for product search, cart and order flows, inventory, and policy retrieval over stdio or Streamable HTTP.

Enables LLM clients to generate standardized test cases, perform quality control with lint scoring, convert to Xray/Jira format, and compose test suites (Smoke/Regression/E2E) with coverage analysis.

Enables AI agents to play, test and QA Twine / interactive-fiction HTML games by reading passages as Markdown, clicking numbered choices, inspecting story variables, screenshotting, and saving or restoring state to explore branches. It provides a small, token-friendly semantic tool surface with format detection for SugarCube, Harlowe, Snowman and Chapbook games, plus live viewing, console error capture and journal tracking for clean playtesting.

Small diagnostic MCP server for checking what MCP clients actually support, including tools, resources, prompts, and transport behavior.

MCP server for Arize Phoenix enabling AI agents to perform LLM tracing, evaluation, and dataset management for automated quality assurance.

Enables AI assistants to run Godot unit tests using GUT and read results in a structured format

Enables AI agents to perform conversational accessibility testing with actionable insights, code-level fixes, and support for authenticated sessions and batch audits.

Provides intelligent CSS/JS feature compatibility checking with configurable browser targets, polyfill support, and smart project scanning. Enables developers to automatically detect browser compatibility issues and get actionable remediation steps with build tool configurations.

A Model Context Protocol (MCP) server that integrates with Zentao's RESTful API to manage bugs, including listing, resolving, closing, and commenting, with support for product and project set contexts.

Enables AI agents to run, monitor, and manage Cypress tests with features like test discovery, screenshot handling, and multi-browser support.

Performs vulnerability scans using Trivy to generate Software Bill of Materials (SBOM) in CycloneDX format. It enables automated security auditing and dependency tracking through the Model Context Protocol.

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.

MotionLint measures the motion your app actually ships — durations, easing curves, stagger intervals, exit timing, reduced-motion support — and scores it against a published set of animation standards with vision LLM.

Inspect and automate WPF apps with 38 MCP tools, a CLI and a C# SDK. C# tests support launch/attach, AutomationIds, virtualized grids/trees, automatic waits, exact selection, WPF dialogs and property notifications. Includes mouse/touch input, binding diagnostics, screenshots, recording/replay and xUnit export. Supports .NET Framework 4.7.2/4.8/4.8.1 and .NET 8/9/10 WPF.

Enables intelligent code analysis and debugging through the Perplexity AI's API, offering detailed error analysis, pattern detection, and comprehensive solutions, with integration support for the Claude desktop client.