Skip to main content
Glama
tonderflash

Movie Search MCP Server

by tonderflash

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

Server capabilities have not been inspected yet.

Tools

Functions exposed to the LLM to take actions

NameDescription
search_moviesD–
get_movie_detailsD–
recommend_moviesD–
popular_moviesD–
movie_helpD–

Prompts

Interactive templates invoked by user choice

NameDescription

No prompts

Resources

Contextual data attached and managed by the client

NameDescription

No resources

TDQS

D1.8/5.0

Scored across 5 tools

Disambiguation3/5

The tools have distinct names suggesting different purposes (details, help, popular, recommend, search), but without descriptions, there's potential ambiguity. For example, 'popular_movies' and 'recommend_movies' might overlap in functionality if recommendations are based on popularity, and 'movie_help' is vague and could be confused with other tools. The naming helps, but descriptions would be needed to fully disambiguate.

Naming Consistency4/5

The naming follows a consistent pattern with snake_case and a mix of verb_noun (e.g., 'get_movie_details', 'search_movies') and noun_verb (e.g., 'movie_help', 'popular_movies', 'recommend_movies'). There are minor deviations in word order, but overall it's readable and mostly predictable, with no chaotic mixing of styles.

Tool Count5/5

With 5 tools, this is well-scoped for a movie search server. It covers key operations like searching, getting details, finding popular movies, and recommendations, which aligns with typical movie-related functionalities. The count is appropriate, not too thin or heavy for the apparent domain.

Completeness3/5

The tool set covers basic search and discovery functions (search, details, popular, recommend), but there are notable gaps. For a movie domain, missing operations might include user-specific actions (e.g., rate_movie, add_to_watchlist), filtering or sorting options, or genre-based searches. The surface is functional but incomplete for a full movie experience, likely causing some agent limitations.

Maintenance

ActivityInactive
ResponsivenessNo issues