What are the prerequisites for running Sonarr MCP Server?
Node.js 18.0.0 or higher, npm 8.0.0 or higher, and a running Sonarr 4.x instance with a valid API key.
@Jacques-Murray
基本信息
暂无概览
使用下面的配置,将此服务器添加到你的 MCP 客户端。
{
"mcpServers": {
"sonarr-mcp-server": {
"command": "docker",
"args": [
"pull",
"ghcr.io/jacques-murray/sonarr-mcp-server:latest"
]
}
}
}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。
Sonarr MCP Server is a Model Context Protocol (MCP) server that enables AI assistants to manage TV series in Sonarr through natural language commands. It integrates with Sonarr’s API v4 and is intended for users of AI assistants that support MCP, such as Claude Desktop or Continue.dev.
Install Node.js 18+, npm 8+, and a running Sonarr 4.x instance with an API key. Clone the repository, run npm install, copy .env.example to .env and fill in your Sonarr URL and API key, then build with npm run build. Start the server with npm start or use Docker. Integrate with an AI assistant by adding the server’s stdio command to the client’s MCP configuration (e.g., claude_desktop_config.json). Test the connection by running npm run start -- --test.
Node.js 18.0.0 or higher, npm 8.0.0 or higher, and a running Sonarr 4.x instance with a valid API key.
In the Sonarr web interface, go to **Settings → General**, scroll to the **Security** section, and copy the **API Key** value. Use this as the `SONARR_API_KEY` environment variable.
Add a `claude_desktop_config.json` entry with the command pointing to the built `dist/index.js` and the required environment variables (`SONARR_API_URL`, `SONARR_API_KEY`). See the README for the exact JSON snippet.
Run `npm run start -- --test` for a local install, or check the logs with `docker logs sonarr-mcp-server` when using Docker.
The server communicates via stdio (standard input/output) following the MCP protocol specification. No HTTP transport is mentioned.

Connect your AI assistant to your own YOUB endurance training account. Read recorded activities with full analysis, planned sessions, race goals, wellness (HRV, sleep, resting HR) and your athletic profile. Create or mov
PickFu MCP is a Model Context Protocol (MCP) server that connects AI assistants, developers, marketers, product managers, and AI agents to PickFu's consumer research platform. It enables users to create surveys, conduct
🚀 The fast, Pythonic way to build MCP servers and clients.
Open-source MCP to use Blender with any LLM
🔥 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。
评论