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    Lets AI assistants search every Pokémon TCG Pocket card by name, type, rarity, set, evolution stage, ability effect and attack, in six languages, with typo tolerance and semantic search.
    1
    MIT
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    An MCP server that exposes a live Dwarf Fortress fort to an AI agent as a small set of curated, semantic tools — a fortress co-pilot and early-warning advisor, not an autopilot. It provides read-only sensors and reference tools to observe the game state and retrieve game data.
    37
    33 npm
    2
    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.
    23
    MIT
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    MCP server for GameCalendar database, enabling read and optional write access to game release and blog post data via natural language.
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    Enables chess agents to query Stockfish evaluations (MultiPV, win/draw/loss probabilities, positional motifs) alongside a Neo4j positional graph of games and opening/endgame theory plus PostgreSQL telemetry. This lets the agent determine which moves are playable in a given position and deliver data-backed semantic coaching.
    1
    MIT
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    Enables AI agents to search and retrieve video game information from the IGDB catalog, including games, platforms, companies, release dates, ratings, and cover art.
    12 npm
    MIT
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    Enables AI agents to search a video game database by name, genre, or platform, retrieve detailed game records, and list genres/platforms with game counts. It exposes these capabilities as MCP tools for ratings, Metacritic scores, release dates, developers, publishers, ESRB ratings, and playtime.
    11 npm
    MIT
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    Enables agent-controlled Darkest Dungeon gameplay by providing game state, tactical context, validated semantic actions, and persistent campaign memory to AI assistants.
    MIT
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    Provides direct access to the RAWG gaming database, allowing users to search for games, retrieve detailed metadata, and explore genres within Claude. It streamlines game research by offering information on ratings, platforms, and release dates through natural language queries.
    3
    MIT
  • F
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    An authoritative MCP server for long-form tabletop narrative play, managing campaign state, phases, revisions, and tool exposure while delegating semantic review and narration to Agent/Skill procedures.
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    Predicts video game scores (0-100 scale, similar to Metacritic ratings) using machine learning based on game characteristics like price, release month, tags, genres, and platforms, trained on Steam game data.
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    Enables fixed-owner authoring and auditing of Bethesda game content, covering Creation Kit tools, TES records, Papyrus scripts, assets and archives, BMKB knowledge, authenticated Vortex operations, runtime verification, packaging, and release readiness. All target-changing operations require explicit confirmation, context snapshots, archive receipts, and authorization notes, while read-only knowledge and audit targets remain available for earlier Bethesda titles and Fallout 76.
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    Enables AI agents to play, test and QA Twine / interactive-fiction HTML games by reading passages as Markdown, clicking numbered choices, inspecting story variables, screenshotting, and saving or restoring state to explore branches. It provides a small, token-friendly semantic tool surface with format detection for SugarCube, Harlowe, Snowman and Chapbook games, plus live viewing, console error capture and journal tracking for clean playtesting.
    22
    405 npm
    MIT