Steam Review MCP
Steam 评论 MCP
英语|中文
使用模型上下文协议 (MCP) 访问 Steam 游戏评论。
特征
帮助法学硕士检索 Steam 游戏评论和信息:
获取游戏评论(好评/差评数、评论分数、评论内容等)
获取游戏基本信息(名称、详细描述)
分析游戏评论并总结优缺点
Related MCP server: mcp-server-steam
安装
通过 Smithery 安装
要通过Smithery自动安装 Claude Desktop 的 Steam Review:
npx -y @smithery/cli install @fenxer/steam-review-mcp --client claude直接用 npx 运行:
npx steam-review-mcp或添加:
{
"mcpServers": {
"steam-review-mcp": {
"command": "npx",
"args": [
"steam-review-mcp"
]
}
}
}用法
工具
此 MCP 服务提供get_steam_review工具,通过传递 Steam 游戏 appid 来检索评论和游戏信息。
欲了解更多详情,请查看 Steamwork API:用户评论 - 获取列表
返回的数据包含两部分:
game_reviews:success:查询是否成功review_score:评分review_score_desc:评分描述total_positive:总好评数total_negative:负面评论总数reviews:所有评论文本内容(不含其他元数据)
game_info:name:游戏名称detailed_description:详细的游戏描述
提示
总结评论
对游戏进行整体评价分析,总结游戏的优点和缺点。
参数
appid(必填):Steam 游戏 ID,例如570(Dota 2)
最近的评论分析
用于分析近期的游戏评论,总结游戏的现状和玩家的反馈。
参数
appid(必填):Steam 游戏 ID,例如570(Dota 2)
发展
# Install dependencies
npm install
# Build project
npm run build
# Run service
npm startAvailable Tools
1 toolget_steam_reviewC
Retrieves reviews and game information for a specific Steam application. Returns formatted review data including review scores, positive/negative counts, review texts, and basic game information.
| Name | Required | Description | Default |
|---|---|---|---|
| appid | Yes | Steam application ID | |
| filter | No | recent: sorted by creation time, updated: sorted by last updated time,all: (default) sorted by helpfulness, with sliding windows based on day_range parameter, will always find results to return. | all |
| language | No | Language filter (e.g. english, french, schinese). Default is all languages. | all |
| day_range | No | range from now to n days ago to look for helpful reviews. Only applicable for the all filter. | |
| cursor | No | reviews are returned in batches of 20, so pass * for the first set, then the value of cursor that was returned in the response for the next set, etc. Note that cursor values may contain characters that need to be URLEncoded for use in the querystring. | * |
| review_type | No | all:all reviews (default), positive: only positive reviews, negative: only negative reviews | all |
| purchase_type | No | all: all reviews, non_steam_purchase: reviews written by users who did not pay for the product on Steam,steam: reviews written by users who paid for the product on Steam (default) | steam |
| num_per_page | No | number of reviews to get, max 100, default 50 |
TDQS
Does the description disclose side effects, auth requirements, rate limits, or destructive behavior?
With no annotations provided, the description carries the full burden of behavioral disclosure. It mentions that the tool 'returns formatted review data' including specific elements like scores and texts, which is helpful. However, it lacks critical behavioral details such as rate limits, authentication requirements, error conditions, or whether this is a read-only operation (though 'retrieves' implies it).
Agents need to know what a tool does to the world before calling it. Descriptions should go beyond structured annotations to explain consequences.
Is the description appropriately sized, front-loaded, and free of redundancy?
The description is appropriately concise with two sentences that efficiently convey the purpose and return value. The first sentence states what the tool does, and the second describes the return format. There's no unnecessary repetition or verbose language, though it could be slightly more structured with explicit sections.
Shorter descriptions cost fewer tokens and are easier for agents to parse. Every sentence should earn its place.
Given the tool's complexity, does the description cover enough for an agent to succeed on first attempt?
Given the tool's moderate complexity (8 parameters, no output schema, no annotations), the description is minimally adequate. It covers the basic purpose and return format but lacks important contextual information about behavioral traits, error handling, and usage scenarios. The absence of an output schema means the description should ideally explain the return structure more thoroughly.
Complex tools with many parameters or behaviors need more documentation. Simple tools need less. This dimension scales expectations accordingly.
Does the description clarify parameter syntax, constraints, interactions, or defaults beyond what the schema provides?
The schema description coverage is 100%, meaning all parameters are well-documented in the schema itself. The description adds minimal value beyond the schema by mentioning 'basic game information' which isn't explicitly in the parameter documentation, but doesn't provide additional parameter context or usage examples. This meets the baseline for high schema coverage.
Input schemas describe structure but not intent. Descriptions should explain non-obvious parameter relationships and valid value ranges.
Does the description clearly state what the tool does and how it differs from similar tools?
The description clearly states the tool's purpose: retrieving reviews and game information for a specific Steam application. It specifies the verb 'retrieves' and resource 'reviews and game information', and distinguishes the scope with 'for a specific Steam application'. However, it doesn't differentiate from siblings since none exist, preventing a perfect score.
Agents choose between tools based on descriptions. A clear purpose with a specific verb and resource helps agents select the right tool.
Does the description explain when to use this tool, when not to, or what alternatives exist?
The description provides no guidance on when to use this tool versus alternatives. There are no explicit statements about appropriate contexts, prerequisites, or exclusions. While no sibling tools exist, the description fails to mention any usage scenarios or constraints beyond what's implied by the purpose.
Agents often have multiple tools that could apply. Explicit usage guidance like "use X instead of Y when Z" prevents misuse.
Tool Schema Changelog
Recent tool additions, removals, and schema changes observed during successful MCP inspections. Dates show when Glama detected each change.
1 tool update
- First observed
get_steam_review
TDQS
With only one tool, there is no possibility of ambiguity or overlap between tools. The tool has a clear, distinct purpose focused on retrieving Steam review data.
A single tool inherently has perfect naming consistency, as there are no other tools to compare it against. The name 'get_steam_review' follows a clear verb_noun pattern.
One tool is too few for a server named 'Steam Review MCP', which suggests a broader scope for interacting with Steam reviews. This minimal set severely limits functionality, such as lacking search, filtering, or update capabilities.
The tool surface is severely incomplete for a Steam review domain. It only provides retrieval for a specific application, missing essential operations like searching reviews, getting user reviews, updating data, or handling multiple games, which are typical for such a service.
Maintenance
Resources
Unclaimed servers have limited discoverability.
Looking for Admin?
If you are the server author, to access and configure the admin panel.
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Related MCP Servers
- AlicenseBqualityCmaintenanceProvides tools for interacting with the Steam Web API to access player profiles, game libraries, achievements, statistics, inventories, and game information through natural language.34585MIT
- AlicenseAqualityCmaintenanceIntegrates with Steam Web API to enable querying user profiles, game libraries, store data, and community features like reviews and workshop items.16MIT
- FlicenseNot gradedqualityCmaintenanceProvides access to your Steam game library data through Claude Desktop, enabling game search, filtering, details, recommendations, and statistics.7-
- AlicenseNot gradedqualityBmaintenanceEnables 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.291BSD 3-Clause
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