Supabase
Supabase’s official server lets AI create tables, query data and review project settings in your Supabase database.
Description from the maker (original English)
MCP server for The Movie Database (TMDB) with IMDb/Rotten Tomatoes/Metacritic ratings via OMDb.
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.
TMDB_API_TOKEN, OMDB_API_KEY, TMDB_LANGUAGE, TMDB_REGIONValues marked secret are keys to your account. Never share them or paste them into a chat.
You 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 tmdb --env TMDB_API_TOKEN=your-value --env OMDB_API_KEY=your-value --env TMDB_LANGUAGE=your-value --env TMDB_REGION=your-value -- npx -y tmdb-mcpFill in the empty values before running it.
Paste into .cursor/mcp.json in your project, or ~/.cursor/mcp.json
{
"mcpServers": {
"tmdb": {
"command": "npx",
"args": [
"-y",
"tmdb-mcp"
],
"env": {
"TMDB_API_TOKEN": "your-value",
"OMDB_API_KEY": "your-value",
"TMDB_LANGUAGE": "your-value",
"TMDB_REGION": "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": {
"tmdb": {
"type": "stdio",
"command": "npx",
"args": [
"-y",
"tmdb-mcp"
],
"env": {
"TMDB_API_TOKEN": "your-value",
"OMDB_API_KEY": "your-value",
"TMDB_LANGUAGE": "your-value",
"TMDB_REGION": "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.
TMDB_LANGUAGE envTMDB_REGION 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 7, 2026
The registry name was verified with the GitHub account Grinv, 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.
You need to fill in: TMDB_API_TOKEN, OMDB_API_KEY
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 (0.14.0) reached the registry 16 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: Supabase, MongoDB MCP Server, Elasticsearch MCP Server
Servers in the same category from other makers, sorted by stars.
Reading a card:★ GitHub starsiThree pillars: reviews · checks · usageiUpdated = latest version published to the registryi
Supabase’s official server lets AI create tables, query data and review project settings in your Supabase database.
MongoDB Model Context Protocol Server
MCP server for interacting with Elasticsearch
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.
An MCP server for The Movie Database (TMDB): search and look up movies, TV shows and people, and read IMDb / Rotten Tomatoes / Metacritic ratings (via OMDb) in the same call.
The server speaks standard MCP over stdio, so it works with any MCP client (Claude Desktop/Code, Cursor, VS Code, Cline, …).
Once it's connected, just ask your agent in natural language (needs a free TMDB token; see Getting your credentials):
"Search for the movie Dune: Part Two and show its overview, genres and runtime."
"What movies are trending this week?" "Find TV shows similar to Breaking Bad." "Who directed Oppenheimer? Show the main cast." "What's Greta Gerwig's filmography?" "Discover highly-rated sci-fi movies from the 2010s, sorted by rating." "Where can I stream The Bear in the US?" "Show me the trailer for Deadpool & Wolverine." "List the episodes of Severance season 1." "Which movie has IMDb id tt0111161?" "Search for people named Zendaya." "Get the year, genres and rating for these five movies in one go: Dune, Dune: Part Two, Arrival, Sicario and Blade Runner 2049." "What are the best limited series to binge over a weekend?" "What TV shows can I watch with my 9-year-old kid?" "What movies has A24 produced?" "What are Tarantino's best-rated crime movies?" "Who composed the music for My Neighbor Totoro, and what else has he scored?"
With an optional (free) OMDb key, ratings are added too:
"What are the IMDb, Rotten Tomatoes and Metacritic scores for The Godfather?"
"Compare the critics' scores for Barbie and Oppenheimer."
Add it to your MCP client's config. The only required credential is a TMDB v4 Read Access Token; OMDB_API_KEY (ratings) and TMDB_LANGUAGE / TMDB_REGION (localization) are optional.
Via npx (no install):
{
"mcpServers": { "tmdb": { "command": "npx", "args": ["-y", "tmdb-mcp"], "env": { "TMDB_API_TOKEN": "your-tmdb-v4-read-access-token (required)", "OMDB_API_KEY": "your-omdb-key (optional: IMDb/RT/Metacritic ratings)", "TMDB_LANGUAGE": "en-US (optional: localize, e.g. ru-RU)", "TMDB_REGION": "US (optional: region for certifications, e.g. RU)" } } } }
Replace each value with your own. Only
TMDB_API_TOKENis required; delete the
lines marked optional if you don't need them.
As a `.mcpb` bundle (easiest for Claude Desktop): download tmdb-mcp.mcpb from the latest release, then open it / drag it into Claude Desktop's Extensions. It's a self-contained bundle (no Node or npm needed); enter the token and the optional fields in the install dialog. Re-download and reinstall to update.
From source: git clone, then npm ci && npm run build, and point the client at it with "command": "node", "args": ["/ABS/PATH/tmdb-mcp/dist/index.js"] and the same env as above.
See docs/clients.md for per-client details and all tunables.
| Tool | Purpose |
|---|---|
search_movies / search_tv / search_people | Find titles/people by name → TMDB id |
search_multi | Search movies, TV and people at once (each row has a media_type) |
get_movie / get_tv | Full details + IMDb/RT/Metacritic ratings (toggle with include_ratings) |
get_movies / get_tv_shows | Compact card(s) (title/year/genres/vote average, ratings opt-in) for 1-20 ids in one call |
get_person | Biography, department, links |
get_movie_credits / get_tv_credits | Top-billed cast and headline crew (TV: whole run, ranked by episode count) |
get_movie_recommendations / get_tv_recommendations | Recommendations from co-viewing data (what fans also liked) |
get_similar | Algorithmically similar titles (media_type + id) |
get_trending | What's popular now (movies / TV / people, day or week) |
get_movie_releases | Movies in cinemas now (now_playing) or opening soon (upcoming) in a country, with TMDB's date window |
get_movie_genres / get_tv_genres | Genre id ↔ name reference |
discover_movies | Filter by genre, date range, rating, cast/crew, companies, origin country, keywords, providers (+/-, access type), certification, regional release dates |
discover_tv | Same, plus networks/type/status and episodes airing in a date range, but no cast/crew/person or regional release-date filter (use get_person_credits for people) |
get_watch_providers | Where to stream/rent/buy, by region (JustWatch via TMDB) |
get_person_credits | A person's filmography (cast & crew) |
get_videos | Trailers/teasers/clips (YouTube links) |
get_reviews | User reviews (author, rating, text) for a movie/TV |
get_collection | A movie franchise/collection and its parts, in release order |
find_by_imdb_id | Resolve an IMDb id → TMDB movie/TV/person |
get_tv_season / get_tv_episode | Season episode list / single-episode details |
search_keywords | Resolve keyword names → ids for discover_* |
search_companies | Resolve a production company name → id for discover_*'s with_companies |
search_collections | Resolve a franchise name (e.g. 'harry potter') → collection id for get_collection |
search_watch_providers | Resolve a streaming/rental service name (e.g. 'Netflix') → id for discover_*'s with_watch_providers |
get_ratings | IMDb/RT/Metacritic ratings by IMDb id or title (standalone) |
Prompts. Alongside the tools above, the server exposes two MCP prompts: recommend_similar (title, optional media_type, optional count) plans a search for titles similar to one the user liked, driving get_similar / get_movie_recommendations / get_tv_recommendations / discover_movies / discover_tv instead of relying on the model's own knowledge. top_by_entity (name, optional entity_type, genre, media_type, count) finds the best-regarded titles from a person or a production company/studio (e.g. "A24's top movies" or "Tarantino's best crime films") via discover_movies/ discover_tv, and for a person's TV work specifically falls back to get_person_credits (TMDB's own /discover/tv can't filter by person at all).
Backbone vs. enrichment. TMDB is the primary source (search, metadata, people, trending). OMDb is optional enrichment: get_movie/get_tv chain the imdb_id TMDB returns into an OMDb lookup, so ratings come back in one call, along with a free-text awards summary (major-award wins/nominations, e.g. Oscars for a film or Emmys for a show, for the title as a whole, not attributed to any one person) and OMDb's own age rating (ratings.rated, separate from this server's own certification). Without an OMDb key the TMDB data still works; the ratings field just reports that it is unconfigured.
Localization. Set TMDB_LANGUAGE (e.g. ru-RU) and TMDB_REGION (e.g. RU) to get localized titles/overviews/genre names and region-specific certifications. search_movies/search_tv/search_multi/search_people/ search_collections, get_movie/get_tv/get_movies/get_tv_shows/get_person, get_collection, get_movie_releases and discover_movies/discover_tv also accept a per-call language override.
One token is required (TMDB); the OMDb key is optional. Both are free.
Only the beginning is shown; read the rest in the repo