Supabase
MCP server for interacting with the Supabase platform
作者提供的说明(英文原文)
MCP server for The Movie Database (TMDB) with IMDb/Rotten Tomatoes/Metacritic ratings via OMDb.
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。
TMDB_API_TOKEN, OMDB_API_KEY, TMDB_LANGUAGE, TMDB_REGION标为机密的值是你账户的钥匙。千万不要分享给别人,也不要粘贴到聊天里。
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 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-mcp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": {
"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"
}
}
}
}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": {
"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"
}
}
}
}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。
TMDB_LANGUAGE envTMDB_REGION 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7日
注册名称已通过 GitHub 账户 Grinv 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。
你需要填写:TMDB_API_TOKEN, OMDB_API_KEY
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(0.14.0)于16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:Supabase, MongoDB MCP Server, Elasticsearch MCP Server
同一分类中其他作者的服务器,按星标数排序。
如何看卡片:★ 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
MCP server for interacting with the Supabase platform
MongoDB Model Context Protocol Server
MCP server for interacting with Elasticsearch
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。
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.
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