
Steam MCP
io.github.Playtide-studios由 GitHub 账号 Playtide-studios 发布v0.2.8更新于 Oct 27, 2026
Steam market intelligence MCP server for game developers: app search, trends, reviews, news.
概览
Steam 市场情报 MCP 服务器,让助手搜索 Steam 应用、查看玩家趋势、评测、商店详情与新闻,面向游戏开发者。
- 可以做什么
- 搜索 Steam 应用,把游戏名解析为 appid
- 一次调用获取玩家数、评测、价格、发行、类型与最新新闻概览
- 读取完整商店信息,含分区定价、平台、DLC 数量与 metacritic
- 按时间、情感与关键词筛选挖掘评测,并附代表性引文
- 获取新闻与补丁说明摘要,以及带周环比变化的玩家数历史
- 获取面向开发者的市场简报,含 Steam 趋势、运营模式与竞品动态
- 适用场景
- 适合游戏开发者与社区运营者,希望在 IDE 或对话中直接得到 Steam 答案而不必切换商店页面,尤其用于发行规划与长期跟踪游戏实际表现。
- 运行要求
- 以本地进程运行,从 PyPI 安装 Python 包(pip install playtide-steam-mcp)并通过 stdio 启动;README 另给出基于 Node 的源码安装方式。需能访问 Steam 公共接口与配套后端,后端默认指向 Playtide 托管测试版。可选环境变量:STEAM_MCP_BACKEND_URL、STEAM_MCP_BACKEND_KEY、STEAM_MCP_TIMEOUT_MS、STEAM_MCP_REMOTE_MANIFEST、STEAM_MCP_AUTO_UPDATE、STEAM_MCP_UPDATE_ORIGIN。
安装
在 SourceWeft 中
- 打开 控制台中的 Steam MCP,将其添加到工作区。
- 为需要使用其工具的对话启用该服务。
Desktop only,通过 STDIO。 STDIO 服务会启动本地进程,因此需要 SourceWeft 桌面宿主。
其他 MCP 客户端
参照 仓库 中的启动说明。
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.
来源:README.md,提交 b00584b
工具
0版本历史
1- v0.2.8最新Oct 13, 2026
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