What are the prerequisites for Overseerr MCP?
You need Node.js, pnpm, Claude Desktop, and a running Overseerr instance.
@jmagar
基本信息
暂无概览
工具列表暂未提供
当前收录暂时没有可展示的工具列表,不代表服务没有工具。请查阅项目文档了解支持的能力。
工具是从 README 中自动提取的。维护者可以在 ## Tools 标题下列出工具,即可填充这部分内容。
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.

Handl speaks the Model Context Protocol. Your whole billing operation — projects, invoices, clients, reports, approvals — as tools any AI assistant can call, inside your autonomy rules.
YC (S26) | Open Computer History | Continuously record your company computer work, map your workflows, help you find work worth automating, and power your agents' context
🔥 MaxKB is an open-source platform for building enterprise-grade agents. 强大易用的开源企业级智能体平台。
AI Agents & MCPs & AI Workflow Automation • (~400 MCP servers for AI agents) • AI Automation / AI Agent with MCPs • AI Workflows & AI Agents • MCPs for AI Agents
A curated list of references for MLOps
评论