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IMDb MCP Server

@uzaysozen

リポジトリ

基本情報

カテゴリ

その他

ライセンス

MIT

トランスポート

stdio

作者

uzaysozen

IMDb MCP Server について

概要はまだありません

#imdb#movie-api#tv-show-api

IMDb MCP Server の設定

以下の設定を使って、このサーバーを MCP 対応クライアントに追加してください。

{
  "mcpServers": {
    "imdb-mcp-server": {
      "command": "npx",
      "args": [
        "-y",
        "@smithery/cli",
        "install",
        "@uzaysozen/imdb-mcp-server",
        "--client",
        "claude"
      ]
    }
  }
}

IMDb MCP Server のツール

ツール一覧はまだありません

この掲載には表示できるツール一覧がまだありません。サーバーにツールがないという意味ではありません。対応機能はプロジェクトのドキュメントをご確認ください。

上のボタンで一時的なサンドボックスでこのサーバーを実行し、ツール一覧を取得できます。

概要

What is IMDb MCP Server?

A Python server implementing the Model Context Protocol (MCP) that provides movie and TV show information using the IMDb API via RapidAPI. It serves as a bridge between AI agents and the IMDb database, offering tools to search, retrieve details, and browse lists of content.

How to use IMDb MCP Server?

Install via Smithery (recommended), Docker, or direct Python execution with uv. Configure the required RapidAPI key either as an environment variable (RAPID_API_KEY_IMDB) or through Smithery’s per-request system. The server supports two transport modes: stdio (default for local development) and HTTP (used by Docker and Smithery). Start with uv run imdb-server or TRANSPORT=http uv run imdb-server.

Key features of IMDb MCP Server

  • Search movies and TV shows with filtering options
  • Retrieve detailed information, cast, crew, directors, writers
  • Access top 250 movies, top 250 TV shows, most popular lists
  • Get US box office records and upcoming releases by country
  • Special Indian cinema tools (Malayalam, Tamil, Telugu, Hindi)
  • Efficient in-memory caching with LRU eviction
  • Smart pagination (5 items per page) for AI-optimized responses

Use cases of IMDb MCP Server

  • Find upcoming action movies and their release dates
  • Get detailed information about a specific movie or TV show
  • Explore top-rated or trending content in different genres and countries
  • Discover Indian cinema with dedicated tools for regional film industries

よくある質問

1

What do I need to use IMDb MCP Server?

Python 3.13 or higher, a RapidAPI account with a subscription to the IMDb API, and either `uv` (recommended) or `pip` for dependency management.

2

How does the server handle data limits for AI agents?

All collection endpoints implement pagination with a fixed page size of 5 items. Each paginated tool accepts a `start` parameter and returns navigation metadata (`totalCount`, `hasMore`, `nextStart`) to help AI agents process data in manageable chunks.

3

What transport modes are supported?

Stdio mode (default, for local Claude Desktop) and HTTP mode (for Docker and Smithery). HTTP mode runs on port 8081 by default and supports CORS.

4

Where does the data come from and is authentication required?

All data is fetched from the IMDb API hosted on RapidAPI. An API key is required, configured either as an environment variable (`RAPID_API_KEY_IMDB`) or via Smithery’s configuration system for per-request authentication.

5

Are there any known limitations?

The server requires an active RapidAPI subscription and internet access. Results are limited to 5 items per request for paginated endpoints. Caching is in-memory only and not persisted across server restarts.

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