"Techniques for Multi-Model Integration" matching MCP servers:

Enables playing a Workato-themed text-based RPG through MCP tools, allowing users to explore dungeons, battle enemies, and manage character progression in an integration-themed adventure.

Enables MCP-compatible AI clients to inspect Godot project and editor state, observe opted-in running scenes, manage processes, and apply permission-scoped guarded edits. It starts read-only and exposes additional capabilities only through explicit command-line flags.

MCP server allowing two agents to play chess or Connect Four against each other, with a live rendered board and emotion signaling.

Enables users to generate rigged, game-ready gun models in Blender from parameterized presets or platforms, including attachments, animation clips, fact sheets, and reference-photo validation.

Enables administering one or many Pterodactyl panels from MCP-compatible clients through a configurable gateway, including server lifecycle control, console commands, file and backup management, and broad Client, Application, and Admin API requests.

Enables AI assistants to build and manage Unity projects directly through the Unity Editor, providing 150+ tools for scene creation, script generation, play mode control, input simulation, and performance analysis.

Connect to your TTRPG campaign's repository and database. Instead of retrieving prose, its 48 tools (20 read, 28 write) return typed state: 14 entity schemas (NPCs, factions, locations, sessions, lore), relationship and knowledge-graph queries, wiki blocks, and a narrative-state bundle of open threads and canon facts.

Enables a player to investigate and solve a voice-only murder mystery through an MCP client by searching locations, examining evidence, questioning suspects, reviewing notes, and making a confirmed accusation. The AI assistant never receives the solution before a valid accusation is committed.

Enables an LLM agent to play a melee match against the game's built-in AI by exposing raw wc3env orders as MCP tools, with games graded and native replays saved.

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.

Enables AI assistants to interact with and manage Minecraft servers through a standardized interface, supporting server monitoring, player management, log analysis, and command execution.

Enables AI clients to control background Blender jobs over stdio so they can inspect a 3D character or companion model, calibrate its anatomy and named bones, bake and export animation, and numerically verify the persisted GLB for playback review. Includes a CLI, models and workspaces that stay local unless explicitly shared.

An intelligent game assistant for Red Alert, based on LangGraph and MCP, providing asynchronous architecture and multimodal AI control for game strategy, production, and combat management.

Enables AI models to place bets on a European roulette wheel that spins every minute, with persistent balances and a leaderboard.

Enables human-coordinated multi-agent workflows for Earth-observation research, Cube Chess 512 self-play benchmarking, and reversible visual QA through WebMCP tools with verification and approval gates.

Enables ChatGPT to retrieve live Pokémon data from PokéAPI, build tournament squads, and list popular tournament picks through MCP tools.

An MCP server that generates RuneLite Goal Planner import strings from natural language goal descriptions, enabling assistants to create paste-ready share codes for Old School RuneScape goal planning.

Model Context Protocol server for Steam Launch Forecaster, exposing calibrated revenue cones (P10–P90) and other tools to AI agents for Steam game revenue forecasting and analysis.

Enables assistants to search and look up Riftbound TCG cards, list sets, and search or fetch public decklists (resolving stored card UUIDs into real card names) through the community card database's API, so questions about cards absent from model training data can be answered with real data.

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.