像塑 MCP Plus
Unofficial macOS MCP for Douyin AR (像塑): assets, menus, AI combine, delivery. For learning only.
Description from the maker (original English)
Search Metacritic films, shows and games, read scores and critic reviews. No API key.
These three are never merged into one score: opinions, measurements and popularity are different things.
We have not written a plain-language summary for this one yet. Below are the facts we read from the registry.
Pick the AI app you use, then copy the settings.
MC_USER_AGENT, MC_MIN_INTERVAL_MS, MC_LOG_LEVELYou need
Which app do you use?
Pick your app above. We remember it, so next time the button says “Install in …”.
Download the maker’s .mcpb file
The link goes to the maker’s own file; we do not host or repackage it. Open the file and Claude Desktop installs it.
Run this in your terminal
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-metacriticFill in the empty values before running it.
Paste into .cursor/mcp.json in your project, or ~/.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"
}
}
}
}Your browser asks to open the app, then the app shows the settings and asks you to confirm. Key values are left empty for you to fill in.
Paste into .vscode/mcp.json in your project
{
"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"
}
}
}
}Your browser asks to open the app, then the app shows the settings and asks you to confirm. Key values are left empty for you to fill in.
This one runs on your computer, and ChatGPT can only connect to servers on the internet. Pick another app.
Your choice stays on this device in a cookie; no account needed.
MC_USER_AGENT envMC_MIN_INTERVAL_MS envMC_LOG_LEVEL envThese settings are generated from the maker’s registry entry. If the README says otherwise, follow the README.
Runs on your computer; the tool list appears in your AI app after you install it.
We check information anyone can see; we have not read the code. Checks that do not apply are left out of the count. · Checked Nov 8, 2026
The registry name was verified with the GitHub account smeet666, which owns the repo
We have not read this repo from GitHub yet
We have not read this repo from GitHub yet
This one runs on your computer; there is no internet endpoint
Runs on your computer and uses local settings instead
Runs on your computer; we can only read tool lists from internet endpoints
Compared with every active server in this category in the registry. Stars count only when the publisher owns the repo.
It passed 1 of 1 applicable basic checks. We have not read the code. Before adding a key or token, see what access the server asks for and use a key with only the permissions you need.
The registry does not list a required key, though some servers ask you to sign in on first use.
It runs on your computer. Your AI app starts it when needed, and data does not pass through the maker’s servers (unless it calls an online service itself).
The GitHub repo last changed –, and the latest version (2.1.0) reached the registry 10 days ago.
Apps that support MCP, such as Claude Desktop, Claude Code, Cursor and VS Code. You also need Node.js, MCPB on your computer.
In the same category: 像塑 MCP Plus, Zovo Recipe Card Maker, Zovo Paper Finder
Servers in the same category from other makers, sorted by stars.
Reading a card:↓ Downloads per weeki★ GitHub starsiThree pillars: reviews · checks · usageiUpdated = latest version published to the registryi
Unofficial macOS MCP for Douyin AR (像塑): assets, menus, AI combine, delivery. For learning only.
Make printable recipe cards from your own recipes as a print-ready PDF.
Build a literature list for a student paper, thesis or research project from Crossref.
Copied from the maker’s repo as written. PopNx MCP has not reviewed or endorsed it. HTML, images and scripts are removed. Links lead off this site.
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
Only the beginning is shown; read the rest in the repo