What are the prerequisites for Overseerr MCP?
You need Node.js, pnpm, Claude Desktop, and a running Overseerr instance.
@jmagar
基本情報
概要はまだありません
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。
ツールは README から自動的に抽出されます。メンテナーは ## Tools という見出しの下に記載することで、このタブに反映できます。
Overseerr MCP is a Model Context Protocol server that connects Claude AI to your Overseerr media request system. It allows you to search for movies and TV shows, submit media requests, and manage your Overseerr instance using natural language through Claude.
Install dependencies with pnpm install, build the project with pnpm build, copy .env.template to .env and set OVERSEERR_URL and OVERSEERR_API_KEY, then configure Claude Desktop with a stdio transport pointing to the built server. Start the server with pnpm start. Once connected, Claude can invoke tools like overseerr:search (to search movies, TV shows, or people) and overseerr:request (to request a movie or TV show by TMDB ID, optionally specifying which seasons for TV).
You need Node.js, pnpm, Claude Desktop, and a running Overseerr instance.
Add a JSON entry to your Claude Desktop config file with `command: "node"`, `args` pointing to the built server’s index.js, `transport: { "type": "stdio" }`, and environment variables `OVERSEERR_URL` and `OVERSEERR_API_KEY`. Use double backslashes for paths on Windows.
Two tools: `overseerr:search` (takes a query and optional type filter) and `overseerr:request` (takes mediaId, mediaType, and optional seasons array).
The server implements API errors with meaningful messages, rate limiting protection, request validation, and connection error recovery.
All communication happens over the OpenAI‑style MCP transport; your Overseerr instance and API key are configured locally via environment variables.

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