TMDB MCP Server
Server Configuration
Describes the environment variables required to run the server.
| Name | Required | Description | Default |
|---|---|---|---|
No arguments | |||
Instructions
Guidance the server publishes about itself, which clients place ahead of the tool catalog so the model reads it before choosing anything.
This server publishes no instructions, or was last inspected before Glama recorded them.
Capabilities
Server capabilities have not been inspected yet.
Tools
Functions exposed to the LLM to take actions
| Name | Description |
|---|---|
| search-moviesC | Search for movies by title or keywords |
| get-trendingC | Get trending movies |
| get-similarC | Get similar movies to a given movie |
| get-movie-detailsC | Get detailed information about a specific movie |
Prompts
Interactive templates invoked by user choice
| Name | Description |
|---|---|
| movie-review | Create a movie review based on provided details |
| movie-recommendation | Get personalized movie recommendations |
Resources
Contextual data attached and managed by the client
| Name | Description |
|---|---|
| TMDB Info | Information about The Movie Database API |
| Trending Movies | Currently trending movies on TMDB |
TDQS
Scored across 4 tools
Each tool has a clearly distinct purpose: get-movie-details retrieves specific movie information, get-similar finds related movies, get-trending lists popular movies, and search-movies performs keyword-based queries. There is no overlap in functionality, making tool selection straightforward for an agent.
All tools follow a consistent verb-noun pattern using kebab-case (e.g., get-movie-details, get-similar, get-trending, search-movies). The naming is uniform and predictable, with 'get' for retrieval operations and 'search' for querying, enhancing readability and usability.
With 4 tools, the server is well-scoped for basic movie discovery and information retrieval. While it covers core functions like details, similarity, trends, and search, it might feel slightly thin for a full movie database API, but it is reasonable and focused.
The tool set covers key read operations for movie data, including details, similarity, trends, and search. However, there are notable gaps such as no update, delete, or creation tools (if applicable to the domain), and missing operations for TV shows, actors, or reviews, which could limit agent workflows in broader contexts.