amodb-mcp
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- FlicenseNot gradedqualityDmaintenanceEnables LLMs to search movies and people, retrieve movie details, cast lists, and the IMDB Top 250 through JSON-RPC or MCP protocol.-
- FlicenseAqualityDmaintenanceProvides Claude AI with direct access to The Movie Database (TMDB) for searching movies, trending content, and reviews through natural language.6-
- FlicenseAqualityDmaintenanceAn MCP server that wraps The Movie Database (TMDB) API, enabling search for movies and TV shows, retrieval of movie details, recommendations, similar movies, trending content, streaming providers, and movie discovery.8-
- AlicenseAqualityCmaintenanceEnables AI agents to search and explore movies, TV shows, people, trending titles, recommendations, and streaming availability. Supports discovery by genre, year, score, runtime, language, and streaming service with compact, typed outputs.10MIT
- AlicenseNot gradedqualityDmaintenanceProvides integration with The Movie Database (TMDB) API for searching movies, TV shows, and people, accessing detailed information, and discovering popular and trending content. Enables AI assistants to access comprehensive movie and television metadata including ratings, cast, crew, and overviews.84 npm1MIT
- AlicenseBqualityDmaintenanceEnables AI assistants like Claude to interact with The Movie Database (TMDB) API, providing capabilities for searching movies, retrieving movie details, and generating customized movie reviews and recommendations.495 npm4MIT
TDQS
Scored across 9 tools
Each tool has a clearly distinct input type and resource: name search, id-based detail retrieval, external-id lookup, trending, filter discovery, and cinema showtimes. Overlaps such as search_titles versus discover_movies are explicitly separated by description (name vs. filters), so misselection is unlikely.
Eight of nine tools follow a consistent snake_case verb_noun or verb_preposition_noun pattern (search_titles, get_movie, get_tv_show, find_by_external_id, etc.). 'trending' is a lone noun without a verb, but it is still readable and no mixed conventions appear.
Nine tools is well within the effective range for a read-only media metadata API. Each tool covers a distinct capability, with no obvious filler or redundancy.
The surface covers the core read lifecycle: search, detail by id, external-id fallback, trending, filter discovery, seasons/episodes, people, and showtimes. A TV-specific discover tool and standalone episode-by-id lookup are missing, but agents can work around these via get_tv_show and get_season.