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"Adding functionality to large language models" matching MCP servers:

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    Enables two LLMs to play Tic-Tac-Toe against each other autonomously using a shared tool and an SSE relay. The server facilitates agent-to-agent communication by holding tool responses until the opponent makes a move, managing the game state in real-time.
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    Apache 2.0
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    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.
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    BSD 2-Clause "Simplified"
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    An MCP server that enables LLMs to build physically valid Lego models by enforcing catalog-only parts, no overlaps, stud-to-tube connections, and other real-world constraints.
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    MIT
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    Provides AI coding assistants with access to AccelByte Gaming Services (AGS) Extend SDK functions and models through searchable symbols and detailed documentation. Helps generate SDK code by exposing context about available functions, models, and templates for creating Extend app projects across multiple languages (Go, C#, Java, Python).
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    Apache 2.0
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    Enables managing visual novel lists on VNDB.org through natural language, including search, adding ratings and notes, changing statuses, and viewing user lists.
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    ISC
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    Enables tool-using language models to play Lemonade Tycoon Deluxe as a text-only business benchmark, exposing game UI state and actions as semantic MCP tools without vision or shell access.
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    MIT
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    Provides comprehensive TRPG dice rolling functionality including standard notation, advantage/disadvantage mechanics, and success-counting dice pools. It enables users to perform complex dice logic and track roll history through an MCP-compliant interface.
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    MIT
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    Enables AI assistants to build Minecraft models, textures, and animations directly inside Blockbench through the Model Context Protocol.
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    MIT
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    Enables Large Language Models to play chess agentically with real-time HTML board visualization and a hybrid AI engine featuring ten difficulty levels. It supports interactive games between users and agents, including a web dashboard to monitor active matches.
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    MIT
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    Provides Pokemon Showdown competitive battle data to AI assistants, enabling lookup of Pokemon stats, moves, abilities, items, type matchups, and strategic information through natural language queries.
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    MIT
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    Provides comprehensive access to Dungeons & Dragons 5th Edition content through the Open5e API. It enables users to search for game mechanics, generate character builds, and create balanced encounters via natural language.
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    Enables AI to control Blockbench for creating and editing 3D models, especially Minecraft-style pets, weapons, and animations, through structured MCP tools and reference image processing.
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    Enables LLM agents to capture screenshots and visualize runtime behavior within the Godot game engine for game development benchmarking. It utilizes AppleScript to provide display capture functionality for agents running on macOS.
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    Enables AI models to develop and automate RPG Maker MZ projects by creating maps, events, and plugins through natural language commands. It provides comprehensive tools for database management, asset integrity checks, and direct map tile manipulation.
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    ISC