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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.
    1
    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.
    3
    BSD 2-Clause "Simplified"
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    An MCP server that exposes World of Warcraft character data from the Blizzard API, offering read-only tools for character summaries, equipment, Mythic+ scores, realm lookup, and other character sub-resources.
    5
    MIT
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    Enables AI agents to create, render, and validate 3D scenes, 2D art, and games in HTML canvas using Three.js, WebGL, or Canvas 2D, with multi-angle screenshots, structured validation reports, and interactive playtesting.
    5
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    Enables interaction with the Scryfall API, allowing users to search for Magic: The Gathering card details, retrieve card rulings, and access pricing information using the Model Context Protocol.
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    33
    MIT
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    Provides verified game rules, official links, and FAQ for the 17-0 NFL roster strategy game to MCP-compatible AI clients.
    2
    MIT
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    Read-only MCP server exposing the 20-0 NFL perfect season game knowledge surface, including game modes, roster picks, scenarios, FAQ, and official links to AI clients.
    2
    MIT
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    Auction house analytics, market intelligence, crafting optimization, inventory valuation, farming routes, guild analytics, and token tracking — all through the Model Context Protocol.
    10
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    Provides game rules, roster constraints, FAQ, and official links for the 27-0 NRL fantasy draft game, enabling AI clients to retrieve this knowledge.
    2
    MIT
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    Manages the state of a chess game for LLMs/agents without suggesting moves, providing tools to create/reset game, add moves, get status, and check legality.
    9
    3
    MIT
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    Exposes the canonical 17-0 knowledge surface including game rules, roster constraints, and entry points for the NFL roster strategy game to MCP-compatible AI clients.
    2
    MIT