tmdb-mcp

tmdb-mcp

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.

Category
Visit Server

README

tmdb-mcp

npm version CI license: MIT

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, …).

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 Similar titles
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)
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.

Credentials

See docs/clients.md for per-client config snippets.

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

Recommended Servers

playwright-mcp

playwright-mcp

A Model Context Protocol server that enables LLMs to interact with web pages through structured accessibility snapshots without requiring vision models or screenshots.

Official
Featured
TypeScript
Magic Component Platform (MCP)

Magic Component Platform (MCP)

An AI-powered tool that generates modern UI components from natural language descriptions, integrating with popular IDEs to streamline UI development workflow.

Official
Featured
Local
TypeScript
Audiense Insights MCP Server

Audiense Insights MCP Server

Enables interaction with Audiense Insights accounts via the Model Context Protocol, facilitating the extraction and analysis of marketing insights and audience data including demographics, behavior, and influencer engagement.

Official
Featured
Local
TypeScript
VeyraX MCP

VeyraX MCP

Single MCP tool to connect all your favorite tools: Gmail, Calendar and 40 more.

Official
Featured
Local
graphlit-mcp-server

graphlit-mcp-server

The Model Context Protocol (MCP) Server enables integration between MCP clients and the Graphlit service. Ingest anything from Slack to Gmail to podcast feeds, in addition to web crawling, into a Graphlit project - and then retrieve relevant contents from the MCP client.

Official
Featured
TypeScript
Kagi MCP Server

Kagi MCP Server

An MCP server that integrates Kagi search capabilities with Claude AI, enabling Claude to perform real-time web searches when answering questions that require up-to-date information.

Official
Featured
Python
E2B

E2B

Using MCP to run code via e2b.

Official
Featured
Neon Database

Neon Database

MCP server for interacting with Neon Management API and databases

Official
Featured
Exa Search

Exa Search

A Model Context Protocol (MCP) server lets AI assistants like Claude use the Exa AI Search API for web searches. This setup allows AI models to get real-time web information in a safe and controlled way.

Official
Featured
Qdrant Server

Qdrant Server

This repository is an example of how to create a MCP server for Qdrant, a vector search engine.

Official
Featured