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    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.
    13
    25 npm
    1
    BSD 3-Clause
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    Lets agents play Doom-engine games (Freedoom, Doom, Doom II, Heretic) one turn at a time over network MCPL, taking actions like move, turn, goto, attack and use while receiving frames, events, bearings and map clearance. Enables people to watch each turn on the web, chat with the player, and replay or resume games that survive server restarts.
    MIT
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    MCP server for Turtle Soup lateral thinking puzzles. It enables starting puzzle sessions, asking questions, and revealing solutions via a thin layer over Turtle Noir backend APIs.
    3
    45 npm
    1
    MIT
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    Enables MCP agents to play chess locally, supporting join, state, legal moves, and move execution with per-session color ownership.
    MIT
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    Enables LLM agents to play full games of Civilization VI by connecting to running game instances via the FireTuner debug interface, with 76 tools for units, cities, diplomacy, research, and turn management, plus narration of game state through rule-enforcing APIs without requiring vision models.
    80
    MIT
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    Reasoning-puzzle arcade for AI agents with seven generated puzzle families, free samples, automatic answer checking, and ranked play from $0.02 USDC on Base via x402. Connect through MCP or HTTP. Browse and try samples without a wallet; run paid tools locally with an explicit spending limit.
    21
    81 npm
    MIT
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    Enables rules-aware Fantasy Premier League decision-making by evaluating your squad, transfer options, chips, and signals to return legal hold, transfer, and chip recommendations with reasoning, risk, and outlook.
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    MIT
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    Provides access to Marvel Rivals game data including hero information, abilities, skins, achievements, items, maps, and player profiles through a standardized interface.
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    13 npm
    1
    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 AI agents with tools for gaming creator research, including checking YouTube channel conflicts, title competition, gaming niches, and Steam update opportunities.
    13
    70 npm
    MIT
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    Enables clients to look up Pokémon stats, abilities, and type matchups, generate seeded random teams, analyze Showdown-style team text, and calculate simplified damage estimates using bundled offline data. It runs over stdio without API keys or runtime network requests.
    5
    61 npm
    MIT
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    Local MCP server for Cities: Skylines II that provides a searchable wiki corpus, curated research reports, and in-game encyclopedia for answering gameplay and modding questions, plus tools for scaffolding, building, and packaging mod projects.
    13
    174 PyPI
    10
    MIT
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    This MCP server provides League of Legends math and cognitive-readiness tools for AI agents, including MMR estimation, climb projection, KDA calculation, and sleep/reaction time research. It requires no API key or network calls, as every tool is a pure function with visible arithmetic.
    8
    16 PyPI
    MIT
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    An MCP-compliant server that enables AI agents to perform accurate Pokémon battle damage calculations using the Smogon calculator, supporting comprehensive input handling for Pokémon stats, moves, abilities, and field conditions.
    1
    2,057 npm
    2
    MIT
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    Enables users to access comprehensive Pokemon data through the PokeAPI, including Pokemon stats, types, descriptions, move details, and complete evolution chains. Allows Claude to answer Pokemon-related questions with detailed information about any Pokemon, their abilities, and evolutionary relationships.
    1
    12 npm
    ISC
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    Enables AI agents to roll weighted entries from built-in and caller-supplied composable content tables for tabletop and narrative play — encounters, loot, weather, complications, NPC traits, plot hooks, tavern scenes, rumours and settlement quirks — with nested table references resolved recursively, seed-based reproducibility, and optional no-repeat sessions across calls.
    502 npm
    MIT
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    Enables AI-assisted clan analysis for Clash of Clans by reading official API data and applying customizable rubrics for war grading, promotion screening, and carry-forward decisions.
    2
    MIT
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    Enables querying Pokémon data from PokéAPI, including stats, types, abilities, evolution chains, and type matchups, via natural language or direct tool calls.
    192 npm
    MIT
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    Enables AI agents to look up static VALORANT reference data from valorant-api.com — listing playable agents with their roles and abilities, fetching full details for a single agent, and listing weapons and maps. Runs keyless either locally over stdio or through the Pipeworx gateway.
    192 npm
    MIT
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    Enables MCP-capable AI clients to control a Minecraft bot in a Java world, providing tools for movement, observation, inventory, chat, crafting, mining, and placing.
    4
    MIT
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    Enables AI agents to query Dota 2 hero meta statistics, recent professional matches, search players by display name, and retrieve player profiles by account ID. It exposes these capabilities as MCP tools over gateway or local stdio connections.
    368 npm
    MIT
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    Enables large language models to retrieve game state and take actions in a space exploration game through the Model Context Protocol.
    MIT