Steam Review MCP
Обзор Steam MCP
английский |中文
Получите доступ к обзорам игр Steam с помощью протокола контекста модели (MCP).
Функции
Помогает магистрам права находить обзоры и информацию об играх в Steam:
Получайте обзоры игр (количество положительных/отрицательных отзывов, оценки обзоров, содержание обзоров и т. д.)
Получить основную информацию об игре (название, подробное описание)
Анализируйте обзоры игр и обобщайте плюсы и минусы
Related MCP server: Steam Review and Forum MCP
Установка
Установка через Smithery
Чтобы автоматически установить Steam Review for Claude Desktop через Smithery :
npx -y @smithery/cli install @fenxer/steam-review-mcp --client claudeЗапустите его напрямую с помощью npx:
npx steam-review-mcpили добавить:
{
"mcpServers": {
"steam-review-mcp": {
"command": "npx",
"args": [
"steam-review-mcp"
]
}
}
}Использование
Инструменты
Эта служба MCP предоставляет инструмент get_steam_review , который извлекает обзоры и информацию об игре, передавая идентификатор приложения игры Steam.
Для получения более подробной информации посетите API Steamwork: Отзывы пользователей — Получить список
Возвращаемые данные состоят из двух частей:
game_reviews:success: Был ли запрос успешнымreview_score: Оценка обзораreview_score_desc: Описание оценки обзораtotal_positive: Всего положительных отзывовtotal_negative: Всего отрицательных отзывовreviews: весь текстовый контент отзывов (без других метаданных)
game_info:name: Название игрыdetailed_description: Подробное описание игры
Подсказки
суммировать-обзоры
Для общего анализа игры, суммирующего плюсы и минусы игры.
Параметры
appid(обязательно): идентификатор игры Steam, например,570(Dota 2)
недавние-обзоры-анализ
Для анализа последних обзоров игр, обобщения текущего состояния игры и отзывов игроков.
Параметры
appid(обязательно): идентификатор игры Steam, например,570(Dota 2)
Разработка
# 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.
1 tool update
- First observed
get_steam_review
TDQS
Scored across 1 tool
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
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