
Steam MCP
io.github.Playtide-studios由 GitHub 帳號 Playtide-studios 發布v0.2.8更新於 Oct 27, 2026
Steam market intelligence MCP server for game developers: app search, trends, reviews, news.
概覽
Steam 市場情報 MCP 伺服器,讓助理搜尋 Steam 應用程式、查看玩家趨勢、評論、商店詳情與新聞,面向遊戲開發者。
- 可以做什麼
- 搜尋 Steam 應用程式,將遊戲名稱解析為 appid
- 一次呼叫取得玩家數、評論、價格、發行、類型與最新新聞概覽
- 讀取完整商店資訊,含分區定價、平台、DLC 數量與 metacritic
- 依時間、情緒與關鍵字篩選挖掘評論,並附代表性引文
- 取得新聞與更新說明摘要,以及含週對週變化的玩家數歷史
- 取得面向開發者的市場簡報,含 Steam 趨勢、營運模式與競品動態
- 適用情境
- 適合遊戲開發者與社群經營者,希望在 IDE 或對話中直接取得 Steam 答案而不必切換商店頁面,特別用於發行規劃與長期追蹤遊戲實際表現。
- 執行需求
- 以本機程序執行,從 PyPI 安裝 Python 套件(pip install playtide-steam-mcp)並透過 stdio 啟動;README 另提供以 Node 為基礎的原始碼安裝方式。需能連線 Steam 公開端點與配套後端,後端預設指向 Playtide 託管測試版。選用環境變數:STEAM_MCP_BACKEND_URL、STEAM_MCP_BACKEND_KEY、STEAM_MCP_TIMEOUT_MS、STEAM_MCP_REMOTE_MANIFEST、STEAM_MCP_AUTO_UPDATE、STEAM_MCP_UPDATE_ORIGIN。
安裝
在 SourceWeft 中
- 開啟 儀表板中的 Steam MCP,將其新增到工作區。
- 為需要使用其工具的對話啟用該服務。
Desktop only,透過 STDIO。 STDIO 服務會啟動本機處理程序,因此需要 SourceWeft 桌面主機。
其他 MCP 客戶端
參照 儲存庫 中的啟動說明。
README
steam-mcp
Steam market intelligence for AI agents — an MCP server that gives your coding assistant live Steam data: app search, player-count trends, store details, review mining, and news digests.
Built for game developers and community managers who want Steam answers inside their IDE conversation instead of tab-switching to store pages.
Why
Steam's public APIs are fragmented (store search, appdetails, user stats) and none of them keep player-count history — the single most useful signal for launch planning. steam-mcp stitches the surfaces together behind one tool set and pairs them with a companion backend that snapshots player counts every 30 minutes, so your agent can answer "how is the game actually doing" with real numbers.
Install
or from source:
Requires Node 26+. Zero runtime dependencies — the server talks plain HTTP/JSON-RPC over stdio.
Tools
Client configuration
stdio (Claude Desktop / Cursor / any MCP client):
Streamable HTTP:
Ready-to-edit client configs live in examples/.
Configuration
Everything else is zero-config: tool schemas are pinned to the packaged manifest (see src/fallback-manifest.json).
Data provenance & safety
- Store search, details, reviews, and news come directly from Steam's public endpoints at request time — nothing is scraped ahead or cached on disk.
- Trends and the market digest come from the companion backend.
- All free-text fetched from the internet (reviews, news bodies) is treated as data, never instructions — tool descriptions tell the model the same.
- The server sends no telemetry anywhere. The only outbound calls are the Steam endpoints you asked about and the backend you configured.
The companion backend
Trend and pulse data come from the steam-mcp companion backend — a small Express + Postgres service that snapshots player counts for every tracked app every 30 minutes.
-
Hosted backend (open beta — the default): installs use
https://api.playtide.devout of the box; no key needed during beta. To pin it explicitly: -
Self-hosted: the backend is a standard docker-compose Postgres + API stack; set
STEAM_MCP_BACKEND_URLto your instance. See docs/TROUBLESHOOTING.md for connectivity help.
Troubleshooting
Backend unreachable, HTTPS requirement errors, deprecated_client on trend calls, rate limits — see docs/TROUBLESHOOTING.md.
Contributing
Issues and PRs are welcome — see CONTRIBUTING.md. Bug reports that include the failing tool call JSON get fixed first.
License
MIT © Playtide Studios. Steam is a trademark of Valve Corporation; this project is not affiliated with Valve.
來源:README.md,提交 b00584b
工具
0版本歷史
1- v0.2.8最新Oct 13, 2026
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