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Glama
samuel-adjin

MCP Movie Assistant

by samuel-adjin

Server Configuration

Describes the environment variables required to run the server.

NameRequiredDescriptionDefault

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

Features and capabilities supported by this server

Protocol revision2025-11-25

CapabilityDetails
tools
{
  "listChanged": true
}
prompts
{
  "listChanged": true
}

Tools

Functions exposed to the LLM to take actions

NameDescription
search-moviesC

Search for movies using the TMDB API

get-movie-detailsC

Get details for a specific movie using the TMDB API

get-trending-moviesC

Get trending movies from the TMDB API

get-movie-recommendationsC

Get movie recommendations based on a specific movie using the TMDB API

discover-moviesC

Discover movies based on various criteria using the TMDB API

Prompts

Interactive templates invoked by user choice

NameDescription
plan-movie-nightCreate personalized movie recommendations based on genre, mood, and audience.
compare-moviesCompare two movies based on ratings, popularity, release information, and other available details.
create-watchlistCreate a personalized movie watchlist based on genre, rating, release period, and watchlist size.
find-similar-moviesFind movies similar to a selected movie based on genre, story, mood, cast, or other available information.
weekend-movie-picksCreate personalized weekend movie recommendations based on mood, audience, and preferred genres.
summarize-trending-moviesRetrieve and summarize movies currently trending for the day or week.

Resources

Contextual data attached and managed by the client

NameDescription

No resources

TDQS

B3/5.0

Scored across 5 tools

Disambiguation5/5

Each tool has a clearly distinct purpose: searching, getting details, trending, recommendations, and discovery. No ambiguity between them.

Naming Consistency5/5

All tool names follow a consistent verb_noun pattern (search-movies, get-movie-details, get-trending-movies, get-movie-recommendations, discover-movies). The use of 'discover' is a minor deviation but still fits the pattern.

Tool Count5/5

With 5 tools, the server is well-scoped for a movie assistant. It covers core functionalities without being too minimal or overwhelming.

Completeness4/5

The tool set covers essential movie operations: search, details, trending, recommendations, and discovery. Minor gaps like genre lists or ratings could be added, but the core experience is complete.

Maintenance

ActivityStale
ResponsivenessNo issues