"semantic-release" matching MCP servers:

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.

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.

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.

License-aware game development resource discovery MCP server. Helps AI coding agents find reusable game assets with commercial-use filtering, license classification, and attribution generation.

Put your game on Steam with your AI assistant: it scans your Unity, Godot or Unreal project, writes and checks your store page against Valve's rules, and fills Steamworks only after you approve.

Enables local MCP-capable agents to read-only query Zhangchui's already-published Warhammer 40K reports, matchups, army rosters, and statistical definitions over a fixed-route HTTPS public API, without admin accounts, SSH, or database credentials. It exposes six tools for listing and fetching reports, matchups, rosters, and data notes, with release-ID pinning, pagination, and explicit handling of unprepared or unavailable data.

MCP server for GameCalendar database, enabling read and optional write access to game release and blog post data via natural language.

Enables AI assistants to interact with AccelByte Gaming Services APIs through semantic search, detailed API information retrieval, and authenticated API execution for game backend operations.

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.

Enables AI agents to search and retrieve video game information from the IGDB catalog, including games, platforms, companies, release dates, ratings, and cover art.

Enables any local MCP agent host to observe and operate a real Stardew Valley game through 28 tools covering world snapshots, screenshots, movement, inventory, menus, buying/shipping, containers, crafting, placing, fishing, combat and save loading. Writes run only through normal in-game flows under a single-writer control lease with ledger-based idempotency, epoch invalidation, fail-safe release on disconnect, and human takeover via web console or hotkey.

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.

Enables agent-controlled Darkest Dungeon gameplay by providing game state, tactical context, validated semantic actions, and persistent campaign memory to AI assistants.

MCP server that wraps Hive Gamification's 8 BOGO doors behind a 4-level hierarchical budget with atomic reservation, upstream POST, and settlement/release, implementing OpenClaw's 3-layer payment governance.

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.

MCP server that provides tools to search Steam games by keyword, retrieve game details (price, release date, genres), and fetch player reviews with recent ratings.

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.

MCP server for Yu-Gi-Oh! card data, providing cards, prices, banlists, rules, rulings, relations, and deck tools via a local SQLite database with semantic search.

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.

MCP server for semantic search over the Daggerheart SRD, enabling users to search rules, fetch entries, and query bestiary monsters during DnD session prep.