"Awesome Lists" matching MCP servers:

Enables AI assistants to run code in 24 programming languages on HackerEarth's sandboxed servers and read the printed output or errors, without installing local toolchains. It also lists supported languages with exact identifiers for use when submitting code.

Enables AI coding agents to submit work for external review before declaring a task done, receiving evidence-backed fix lists and verdicts based on git-measured changes and calibrated quality scoring.

Gives your coding agent the review comments left on a running frontend with Maple. It lists open comments with the element, source location and screenshot they point to, waits for new ones, and resolves them when the fix is in.

Integrates Slack channels and Slack Lists to automate bug report scanning and QA status management. It enables users to retrieve bug details, update list items, and post fix updates directly within Slack.

An MCP server exposing every documented Email on Acid API v5 request as a tool — 24 tools across authentication, email client lists, email rendering testing, and spam testing.

Validates a built HTML5 game against CrazyGames portal rules — build checks, an emulated SDK v3 session, and frame/layout audits — returning dense JSON lists of failures, warnings and rules it could not exercise instead of screenshots or ad-hoc Playwright scripts. It emulates the portal entirely in-process (no server or port) using the game's own Playwright/Chromium, with a small per-game scenario file driving gameplay steps.

Read-only local MCP server for inspecting AgentInspect TypeScript AI-agent traces. Lists runs, exposes bounded causal-failure and TraceFacts evidence, evaluates TraceContract checks, compares runs, and creates share-checked evidence without mutating traces or invoking agent tools.

Enables AI agents to inspect and drive native Windows desktop applications (WinForms, WPF, WinUI 3, and WebView2 hybrids) through Microsoft UI Automation by capturing interactive control snapshots, then clicking, filling, and asserting on elements via ephemeral refs or semantic screen-map targets. Mutating actions are dry-run by default and gated behind explicit arming, allow-lists, and a kill switch for lawful, assisted QA testing.

Enables AI agents to check email HTML for delivery-breaking problems before sending, returning structured diagnostics with rule id, severity, line and column, along with a tool that lists every available rule. It runs with no filesystem, network or environment access, so agents can validate markup without gaining new permissions.

Enables agents to fetch specifications from the public ProveSpec catalog, search and retrieve specs, and grade their own implementations against capability checklists, returning parity scores and gap lists.

Enables AI agents to manage iOS Simulator state declaratively through MCP tools for inventory, snapshot, diff, planning, and safe apply operations.

Provides a minimal MCP server that exposes a tool for retrieving lists of tickets, each with a detailed 2,048-byte description field via Streamable HTTP.