Convoca
Open literary prizes and contests in Spanish and Catalan, with winners and awarded books.
作者提供的说明(英文原文)
Search Metacritic films, shows and games, read scores and critic reviews. No API key.
这三项永远不会合并成一个分数:意见、测量和人气是不同的东西。
我们还没有为它写通俗的介绍。下面是我们从注册中心读取到的事实。
选择你使用的 AI 应用,然后复制设置。
MC_USER_AGENT, MC_MIN_INTERVAL_MS, MC_LOG_LEVEL你需要
你用的是哪个应用?
在上方选择你的应用。我们会记住它,下次按钮会显示“安装到 …”。
链接指向作者自己的文件;我们不托管也不重新打包它。打开文件后,Claude Desktop 会进行安装。
在终端中运行这条命令
claude mcp add metacritic --env MC_USER_AGENT=your-value --env MC_MIN_INTERVAL_MS=your-value --env MC_LOG_LEVEL=your-value -- npx -y mcp-metacritic运行前请先填写空着的值。
粘贴到项目中的 .cursor/mcp.json,或 ~/.cursor/mcp.json
{
"mcpServers": {
"metacritic": {
"command": "npx",
"args": [
"-y",
"mcp-metacritic"
],
"env": {
"MC_USER_AGENT": "your-value",
"MC_MIN_INTERVAL_MS": "your-value",
"MC_LOG_LEVEL": "your-value"
}
}
}
}浏览器会先询问是否打开应用,然后应用会显示设置并请你确认。密钥的值会留空,由你自己填写。
粘贴到项目中的 .vscode/mcp.json
{
"servers": {
"metacritic": {
"type": "stdio",
"command": "npx",
"args": [
"-y",
"mcp-metacritic"
],
"env": {
"MC_USER_AGENT": "your-value",
"MC_MIN_INTERVAL_MS": "your-value",
"MC_LOG_LEVEL": "your-value"
}
}
}
}浏览器会先询问是否打开应用,然后应用会显示设置并请你确认。密钥的值会留空,由你自己填写。
这个服务器在你的电脑上运行,而 ChatGPT 只能连接互联网上的服务器。请选择其他应用。
你的选择通过 Cookie 保存在这台设备上,无需账户。
MC_USER_AGENT envMC_MIN_INTERVAL_MS envMC_LOG_LEVEL env这些设置是根据作者在注册中心的条目生成的。如果 README 的写法不同,请以 README 为准。
它在你的电脑上运行;安装后,工具列表会显示在你的 AI 应用中。
我们检查的是任何人都能看到的信息;我们没有阅读代码。不适用的检查项不计入总数。 · 检查于 2026年11月8日
注册名称已通过 GitHub 账户 smeet666 验证,该账户拥有此仓库
我们还没有从 GitHub 读取这个仓库
我们还没有从 GitHub 读取这个仓库
它在你的电脑上运行,没有互联网端点
在你的电脑上运行,改用本地设置
它在你的电脑上运行;我们只能读取互联网端点的工具列表
与注册中心里这个分类中所有活跃的服务器比较。只有当发布者拥有该仓库时,星标数才计入。
它在 1 项适用的基础检查中通过了 1 项。我们没有阅读代码。在添加密钥或令牌之前,请先看看这个服务器要求哪些权限,并使用只具备所需权限的密钥。
注册中心没有列出必需的密钥,不过有些服务器会在首次使用时要求你登录。
它在你的电脑上运行。你的 AI 应用会在需要时启动它,数据不会经过作者的服务器(除非它自己调用在线服务)。
GitHub 仓库最后更新于–,最新版本(2.1.0)于10天前进入注册中心。
支持 MCP 的应用,例如 Claude Desktop、Claude Code、Cursor 和 VS Code。你的电脑上还需要有 Node.js, MCPB。
同一分类中有:Convoca, mcp.film directory, 像塑 MCP Plus
同一分类中其他作者的服务器,按星标数排序。
如何看卡片:↓ 每周下载量i★ GitHub 星标i三大支柱:评价 · 检查 · 使用情况i更新 = 最新版本发布到注册中心的时间i
Open literary prizes and contests in Spanish and Catalan, with winners and awarded books.
Search the curated directory of MCP servers for AI filmmaking and plan a full production stack.
Unofficial macOS MCP for Douyin AR (像塑): assets, menus, AI combine, delivery. For learning only.
按原文从作者的仓库复制。PopNx MCP 没有审查或背书其内容。HTML、图片和脚本已被移除。链接会离开本站。
Metacritic gathers what critics and audiences said about films, television series and video games. Each entry carries the year, the age rating, the genres, and two scores of its own: the Metascore, a weighted average of the professional reviews, and the user score, out of ten, from the people who signed up to rate it. Under each entry sit the reviews themselves, with the publication that ran them and the quoted line.
This server connects a chat client to that catalogue. You can search for a title, read its entry with its scores and its details, browse a catalogue by score, recency or popularity, and read the reviews of one title, filtered by critic or audience and by how favourable they were. It needs no API key and no account.
_Version française_
One-click install
Claude Code
claude mcp add metacritic -- npx -y mcp-metacritic
Claude Desktop, Cursor, and any client using the standard config format
{
"mcpServers": { "metacritic": { "command": "npx", "args": ["-y", "mcp-metacritic"] } } }
Node 24 or later is required, and no environment variable has to be set.
{
"mcpServers": { "metacritic": { "command": "docker", "args": ["run", "-i", "--rm", "ghcr.io/smeet666/mcp-metacritic:2.1.0"] } } }
-i keeps stdin open, which is where the protocol travels, and -t is left out because a TTY rewrites the stream. The container needs outbound HTTPS to backend.metacritic.com, and nothing else: no volume, no port, no credential.
Download mcp-metacritic-2.1.0.mcpb from the latest release and open it. A client that supports MCP bundles installs it on its own, with no npm and no configuration file to edit. The bundle carries its dependencies, so nothing is fetched at install time.
The ordinary path runs from a search to an entry: a row carries a slug and a kind, and get_title and get_reviews take both together.
| Tool | What it does |
|---|---|
search_titles | Finds films, series and games by title. |
get_title | Reads one entry, its scores and its details. |
get_reviews | Reads the reviews of one entry, by source and by sentiment. |
browse_titles | Lists a catalogue by score, recency or popularity. |
A title is addressed by its slug together with its kind, since the same slug can name a film and a game.
search_titlesFinds films, series and games by title.
| Argument | Type | Required | What it does |
|---|---|---|---|
query | string, at least 1 character | yes | A title, or part of one. |
kind | movie, show, game or any, default any | no | Which catalogue to search. |
limit | integer, 1 to 50, default 10 | no | Rows to serve. |
In return: rows carrying slug and kind, which get_title and get_reviews take together; title; year; release_date; rating, the age rating as published; metascore; user_score, which the search route publishes for no row and which is null on every one of them; and source_url. A score the site has not computed is `null`, never `0`: on a scale that starts at zero the two would be indistinguishable, and a title with too few reviews carries none.
get_titleReads one entry. The heavier parts are asked for rather than served by default, and each one beyond the default costs a request.
| Argument | Type | Required | What it does |
|---|---|---|---|
slug | string, at least 1 character | yes | The identifier a row carries. |
kind | movie, show or game | yes | Which catalogue it belongs to. |
sections | array of basic, scores, awards, production, networks, where_to_watch, default ["basic", "scores"] | no | Which parts to return. |
max_chars | integer, 200 to 20000, default 4000 | no | How much of the description to serve. |
offset | integer, 0 or more, default 0 | no | Where to resume the description. |
In return: the entry a search row carries, plus description, tagline, genres, duration_minutes and imdb_id, each null where the page states nothing. total_chars, returned_chars and offset describe the slice of the description served.
get_reviewsReads the reviews of one entry.
| Argument | Type | Required | What it does |
|---|---|---|---|
slug | string, at least 1 character | yes | The identifier a row carries. |
kind | movie, show or game | yes | Which catalogue it belongs to. |
source | critic or user, default critic | no | Whose reviews to read. |
sentiment | all, positive, neutral or negative, default all | no | How favourable a review has to be. |
limit | integer, 1 to 50, default 10 | no | Reviews to serve. |
offset | integer, 0 or more, default 0 | no | Reviews to skip, for paging. |
In return: reviews, each with its quote as published, its score, the max that score is out of, which is 100 for a critic and 10 for a user, and the publication that ran it. Name the publication when quoting a review. total_available counts every review Metacritic holds from that source for the entry, whatever sentiment was asked for, since the sentiment sorts the sample this server received rather than the request that fetched it. next_offset continues.
browse_titlesLists a catalogue.
| Argument | Type | Required | What it does |
|---|---|---|---|
kind | movie, show or game, default movie | no | Which catalogue to list. |
sort | score, recent or popular, default score | no | How the rows are ordered. |
genre | string | no | A single genre name, such as Horror. |
limit | integer, 1 to 50, default 20 | no | Rows to serve. |
offset | integer, 0 or more, default 0 | no | Rows to skip, for paging. |
In return: the rows search_titles returns, with total_available, offset, next_offset and the kind, sort and genre the listing was read under.
The Metascore is a weighted average of professional reviews, out of 100. The user score is the average of what registered members gave, out of 10. They measure different populations on different scales, and a title can carry one and not the other. Read each with the max its reviews state, and report a missing score as missing.
Every variable is optional. Set them in the env block of your client config.
| Variable | Default | What it does |
|---|---|---|
MC_USER_AGENT | the project identity | Names your application to the site, with an address where a person can be reached. |
MC_MIN_INTERVAL_MS | 1000 | Gap between two requests, from 500 to 60000. |
MC_TIMEOUT_MS | 15000 | Deadline for one request, from 1000 to 120000. |
MC_MAX_RETRIES | 3 | Attempts after a transient failure, from 0 to 10. |
MC_CACHE_TTL_MS | 86400000 | How long a catalogue entry stays in memory, from 0 to 604800000. |
MC_SCORES_CACHE_TTL_MS | 3600000 | How long scores and reviews stay in memory, from 0 to 86400000. |
MC_CACHE_MAX_ENTRIES | 200 | Answers held in memory at once, from 0 to 10000. |
| MC_LOG_LEVEL | error
只显示了开头部分;其余内容请在仓库中阅读