"AWS instance metadata service endpoint URL" matching MCP servers:

Exposes three tools from the Worcadian JSON-RPC game server API (check_wordlist, gameday, results) as an MCP server using FastAPI, designed for deployment on Vercel.

Integrates live Screeps game data into AI development workflows, providing comprehensive tools for room operations, market analysis, and user management. It enables AI agents to monitor game status and interact with the game world through the Model Context Protocol.

Enables AI coding tools to control Roblox Studio for workspace exploration, instance manipulation, and script management. It provides tools for playtesting, scene rendering, and integration with the Roblox Creator Store.

Enables AI coding assistants to access documentation, live API tools, and workflow prompts for integrating a game/app backend service into Godot, Unity, and Unreal Engine projects, including auth, leaderboards, cloud saves, remote config, localization, news, gift codes, feedback, logs, crash reporting, email, and admin dashboard management.

Generates mock 2D PNG assets for game prototypes, supporting gradients, patterns, text, spritesheets, and embedded metadata.

Enables publishing and updating mod releases, editing mod descriptions, metadata and tags, and reading or replying to comments and notifications on the Vintage Story ModDB from any MCP client. Includes a one-time manual login helper that stores a reusable session cookie for authenticated write operations.

An MCP server that empowers AI coding agents to work effectively with Minecraft mod development, providing static analysis of decompiled source code and runtime interaction with a running Minecraft instance.

MCP server enabling AI assistants to search Steam games, retrieve official store metadata, and analyze player review sentiment via public Steam Storefront JSON APIs without an API key.

Drives a running tModLoader instance from an agent, allowing it to launch the game, issue commands, take screenshots, and read game state as structured data.

MCP server that enables AI assistants to inspect and build Fortnite maps by driving a running Unreal Editor for Fortnite instance via Python, exposing tools for spawning actors, browsing content, and executing editor operations.

An MCP server that allows Claude and other hosts to interact with a Heroic Labs Nakama instance through both its Client API and Console API, enabling game server operations like authentication, accounts, storage, leaderboards, and admin tasks.

Enables AI-assisted creation, editing, and visualization of VibeTide 2D platformer levels with tools for tile manipulation, level metadata management, and web-based gameplay.

Enables comprehensive audio file analysis and metadata extraction with specialized game audio development features, supporting batch processing of multiple formats and providing platform-specific optimization recommendations.

Enables AI agents to inspect a proof-of-work minted collectible card game on Robinhood Chain — reading live collection stats, card metadata, points leaderboards, staking pool and recent activity, and verifying or grinding valid nonces locally with no wallet, keys, or transactions.

Enables exploring Steam store reviews and community discussion threads with server-side filtering, temporal analysis, and metadata context for understanding player sentiment and feedback beyond store page noise.

Provides comprehensive video game metadata and assets from Steam, SteamGridDB, and ScreenScraper, enabling game search, details, DLCs, reviews, player counts, and visual assets.

Debug and inspection tooling for Roblox projects, exposed as an MCP server so an AI agent can explore the instance tree, read/write properties, call remotes, and run Luau in a Roblox client driven by an executor.

Enables MCP clients like Claude Desktop to run dice rolling and coin flipping tools with true randomness, and to fetch basic server metadata as a read-only resource.

An MCP server that bridges AI to Roblox Studio, enabling execution of Luau scripts, instance manipulation, play-testing control, and Open Cloud operations via natural language.

Provides an interface to the CloudNet Service REST API v3, enabling AI assistants to observe and manage CloudNet nodes, services, and players.