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MCP Metacritic

by smeet666version 2.1.0i★ –iRuns on your computer
Registry nameio.github.smeet666/mcp-metacritic

Install

Overview

Description from the maker (original English)

Search Metacritic films, shows and games, read scores and critic reviews. No API key.

PopNx MCP’s three pillars

These three are never merged into one score: opinions, measurements and popularity are different things.

What you can do with it

We have not written a plain-language summary for this one yet. Below are the facts we read from the registry.

  • Connection: Runs on your computer
  • Transport: stdio
  • Category: Games, sports, food & learning

Install

Pick the AI app you use, then copy the settings.

Before you install

  • Basic checks: 1 of 1 passed
  • Runs on your computer with your user’s permissions (files, network, apps).
  • You fill in yourself: MC_USER_AGENT, MC_MIN_INTERVAL_MS, MC_LOG_LEVEL

You need

  • npmNode.js installed (for the npx command)

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-metacritic

Fill in the empty values before running it.

Open in Cursor

Or copy the settings yourself

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.

Open in VS Code

Or copy the settings yourself

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.

Values you fill in

  • MC_USER_AGENT env
    Override the User-Agent sent to Metacritic.
  • MC_MIN_INTERVAL_MS env
    Minimum milliseconds between requests. Default 1000, floor 500.
  • MC_LOG_LEVEL env
    silent, error, info or debug. Default error.

These settings are generated from the maker’s registry entry. If the README says otherwise, follow the README.

What it can do

Runs on your computer; the tool list appears in your AI app after you install it.

Basic checksi

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

  • ✓ Pass

    Maker matches the repo

    The registry name was verified with the GitHub account smeet666, which owns the repo

  • … Not checked yet

    Still maintained

    We have not read this repo from GitHub yet

  • … Not checked yet

    Has a licence

    We have not read this repo from GitHub yet

  • – Not applicable

    Endpoint responds

    This one runs on your computer; there is no internet endpoint

  • – Not applicable

    Sign-in with OAuth

    Runs on your computer and uses local settings instead

  • … Not checked yet

    No hidden instructions in tool descriptions

    Runs on your computer; we can only read tool lists from internet endpoints

Compared with others in Games, sports, food & learningi

  • More stars than 0% of the other 1301 servers in this category
  • Published to the registry more recently than 76% of the other 1301 servers in this category
  • Basic checks equal to or better than 100% of the other 1301 servers in this category

Compared with every active server in this category in the registry. Stars count only when the publisher owns the repo.

Common questions

Is MCP Metacritic safe?

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.

What keys or codes does it need?

The registry does not list a required key, though some servers ask you to sign in on first use.

Does it run on my computer or in the cloud?

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).

Is it still maintained?

The GitHub repo last changed –, and the latest version (2.1.0) reached the registry 10 days ago.

Which apps can use it?

Apps that support MCP, such as Claude Desktop, Claude Code, Cursor and VS Code. You also need Node.js, MCPB on your computer.

What can I use instead?

In the same category: 像塑 MCP Plus, Zovo Recipe Card Maker, Zovo Paper Finder

Alternatives

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

像塑 MCP Plus

Unofficial macOS MCP for Douyin AR (像塑): assets, menus, AI combine, delivery. For learning only.

by Muqian-SunVery newUpdated today

Runs on your computer

Zovo Recipe Card Maker

Make printable recipe cards from your own recipes as a print-ready PDF.

by theluckystrikeEarlyUpdated today

Runs in the cloud

Zovo Paper Finder

Build a literature list for a student paper, thesis or research project from Crossref.

by theluckystrikeEarlyUpdated today

Runs in the cloud

README from the maker

Open the README

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.

mcp-metacritic

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_


Install

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.

With Docker
{

"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.

Bundle, without npm

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.

What you can ask

  • "What did critics make of The Matrix?"
  • "Read me a few negative reviews of that game."
  • "What are the best-reviewed horror films?"
  • "How does the user score compare to the Metascore?"
  • "What came out recently that reviewed well?"

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.

Tools

ToolWhat it does
search_titlesFinds films, series and games by title.
get_titleReads one entry, its scores and its details.
get_reviewsReads the reviews of one entry, by source and by sentiment.
browse_titlesLists 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_titles

Finds films, series and games by title.

ArgumentTypeRequiredWhat it does
querystring, at least 1 characteryesA title, or part of one.
kindmovie, show, game or any, default anynoWhich catalogue to search.
limitinteger, 1 to 50, default 10noRows 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_title

Reads one entry. The heavier parts are asked for rather than served by default, and each one beyond the default costs a request.

ArgumentTypeRequiredWhat it does
slugstring, at least 1 characteryesThe identifier a row carries.
kindmovie, show or gameyesWhich catalogue it belongs to.
sectionsarray of basic, scores, awards, production, networks, where_to_watch, default ["basic", "scores"]noWhich parts to return.
max_charsinteger, 200 to 20000, default 4000noHow much of the description to serve.
offsetinteger, 0 or more, default 0noWhere 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_reviews

Reads the reviews of one entry.

ArgumentTypeRequiredWhat it does
slugstring, at least 1 characteryesThe identifier a row carries.
kindmovie, show or gameyesWhich catalogue it belongs to.
sourcecritic or user, default criticnoWhose reviews to read.
sentimentall, positive, neutral or negative, default allnoHow favourable a review has to be.
limitinteger, 1 to 50, default 10noReviews to serve.
offsetinteger, 0 or more, default 0noReviews 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_titles

Lists a catalogue.

ArgumentTypeRequiredWhat it does
kindmovie, show or game, default movienoWhich catalogue to list.
sortscore, recent or popular, default scorenoHow the rows are ordered.
genrestringnoA single genre name, such as Horror.
limitinteger, 1 to 50, default 20noRows to serve.
offsetinteger, 0 or more, default 0noRows 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.

Two scores, two things measured

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.

Configuration

Every variable is optional. Set them in the env block of your client config.

VariableDefaultWhat it does
MC_USER_AGENTthe project identityNames your application to the site, with an address where a person can be reached.
MC_MIN_INTERVAL_MS1000Gap between two requests, from 500 to 60000.
MC_TIMEOUT_MS15000Deadline for one request, from 1000 to 120000.
MC_MAX_RETRIES3Attempts after a transient failure, from 0 to 10.
MC_CACHE_TTL_MS86400000How long a catalogue entry stays in memory, from 0 to 604800000.
MC_SCORES_CACHE_TTL_MS3600000How long scores and reviews stay in memory, from 0 to 86400000.
MC_CACHE_MAX_ENTRIES200Answers held in memory at once, from 0 to 10000.

| MC_LOG_LEVEL | error

Only the beginning is shown; read the rest in the repo

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