tmdb-mcp

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."

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."

Install

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_TOKEN is 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.

What it does

| 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_person | Biography, department, links | | get_movie_credits / get_tv_credits | Top-billed cast and headline crew | | get_movie_recommendations / get_tv_recommendations | TMDB's editorial recommendations | | get_similar | Algorithmically similar titles (media_type + id) | | get_trending | What's popular now (movies / TV / people, day or week) | | get_movie_genres / get_tv_genres | Genre id ↔ name reference | | discover_movies / discover_tv | Filter by genre, year/date range, rating, cast/crew, keywords, providers, certification, … | | 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_* | | get_ratings | IMDb/RT/Metacritic ratings by IMDb id or title (standalone) |

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. 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. Most tools also accept a per-call language override.

Getting your credentials

One token is required (TMDB); the OMDb key is optional. Both are free.

1. TMDB token (required). Create a free account at themoviedb.org, then open Settings → API and request an API key (personal use). Copy the "API Read Access Token" (the long v4 token, not the short v3 key) into TMDB_API_TOKEN. It's sent as Authorization: Bearer ….
2. OMDb key (optional). Grab a free key at omdbapi.com/apikey.aspx (the free tier is fine), click the activation link in the email, and set OMDB_API_KEY. This unlocks get_ratings and the IMDb / Rotten Tomatoes / Metacritic scores in movie and TV details. Without it, everything else still works.

Put these in your MCP client config's env block (see docs/clients.md for per-client snippets) — never commit them. TMDB_LANGUAGE / TMDB_REGION optionally set default locale/region (e.g. ru-RU, RU).

Develop

npm install
npm run build        # type-check + bundle to dist/index.js
npm test             # node:test (mocked, offline)
npm run lint
npm run format
npm run check:api    # live upstream health-check (needs the env credentials)
npm run inspector    # run under the MCP Inspector

Runtime requires Node ≥ 18. Contributor/agent guidance lives in AGENTS.md.

Updating

• .mcpb bundle: download the new bundle from the releases page and reinstall.
• From source: git pull && npm ci && npm run build.
• npx: unpinned npx -y tmdb-mcp fetches the latest on the next run.

This product uses the TMDB API but is not endorsed or certified by TMDB.

License

MIT © Grinv