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yjl9903

動漫花園 镜像站 | 动画 BT 资源聚合站 | 动画 BT 资源开放接口

Publisheryjl9903
RepositoryAnimeGarden
LanguageTypeScript
Forks
37
Stars
1.2K
Available tools
0
Transport typestdio, streamable-http
Categories
Other
LicenseAGPL-3.0
Links
GitHubHomepage
  • Connect tools to AI workflows

    Anime Garden exposes MCP capabilities that can be used by compatible AI clients and agents.

  • 0 available tools

    Browse the callable actions below, including names and descriptions when provided by the server.

  • Ready-to-copy setup

    Use the installation snippets to configure this server in your preferred MCP client.

  • Open source signals

    1.2K stars and 37 forks from the linked repository.

🌸 Anime Garden

Group version CI Ask DeepWiki

English | 简体中文

動漫花園 第三方 镜像站 以及 动画 BT 资源聚合站.

  • ☁️ 为开发者准备的开放 API 接口
  • 📺 查看 动画放送时间表 来找到你喜欢的动画
  • 🔖 支持丰富的高级搜索, 例如: 葬送的芙莉莲 +简体内嵌 字幕组:桜都字幕组 类型:动画
  • 📙 自定义 RSS 订阅链接, 例如: 葬送的芙莉莲
  • ⭐ 搜索条件收藏夹和生成聚合的 RSS 订阅链接
  • 👷‍♂️ 支持与 AutoBangumi 和 AnimeSpace 集成

讨论群: Telegram @animegarden_dev

推送频道: Telegram @animegarden_channel

项目文档: 由 DeepWiki 生成

home

使用 Skills

Anime Garden skill: 用于从 Anime Garden 上检索动画资源.

Yuc's Anime List skill: 用于从 yuc.wiki 上检索每个季度的新番列表.

为 OpenClaw 使用 clawhub 添加 Anime Garden skill 和 Yuc's Anime List Skill.

bash
npx clawhub install animegarden
npx clawhub install yuc

使用 Vercel skills CLI 添加 Anime Garden skill 和 Yuc's Anime List Skill.

bash
npx skills add https://github.com/yjl9903/AnimeGarden --skill animegarden
npx skills add https://github.com/yjl9903/AnimeGarden --skill yuc

使用 MCP

Anime Garden MCP 服务端点: https://api.animes.garden/mcp.

你只需要将如下配置放入你的 MCP Client 即可.

json
{
  "mcpServers": {
    "animegarden": {
      "url": "https://api.animes.garden/mcp"
    }
  }
}

使用开放 API

bash
curl "https://api.animes.garden/resources?page=1&pageSize=10"

你可以在这里找到交互式的 Open API 文档, 以及在本仓库的 examples/api.http 文件内查看到更多 API 用例.

你也可以直接使用网站, 在资源列表页 (例如 明天，美食广场见。 最新资源) 直接复制生成的 cURL、JavaScript 和 Python 的 API 请求代码.

如果你正在使用 JavaScript 和 TypeScript 进行开发, 那么你可以直接使用 npm 包 @animegarden/client, 它是对这些 API 请求的上层封装.

使用 npm 包

它是 AnimeGarden 的 JavaScript / TypeScript 的 API 客户端封装.

bash
npm i @animegarden/client
ts
import { fetchResources } from '@animegarden/client'

// Fetch the first page of Anime Garden mirror site
const resources = await fetchResources()

// Fetch all the resources which match some filter conditions
const sakurato = await fetchResources({ count: -1, fansub: 'ANi' })

使用时, 你需要保证你的程序环境中有内置的 Fetch 函数. 如果没有, 你可以安装使用 undici 或者 ofetch 进行 polyfill.

你可以在这里查看更多过滤条件 FilterOptions, 也可以在 ./examples/ 目录下找到更多程序示例.

使用内嵌代码

你可以从资源搜索页复制出网页嵌入代码，放到你的博客等各种页面中.

html
<iframe src="//animes.garden/iframe?subject=477825" width="100%" height="600" frameborder="0"></iframe>

本地开发

参考 CONTRIBUTING.md 中的描述配置环境和开始开发.

相关项目

  • AnimeSpace: Keep following your favourite anime
  • anipar: Parse structure metadata from resource's title.
  • bgmx: Bangumi Data / API Clients

鸣谢

开源协议

AGPL-3.0 License © 2023 XLor

Installation

TypingMind
Prerequisites:

Node.js 18+

{
  "mcpServers": {
    "yjl9903-animegarden": {
      "command": "",
      "args": []
    }
  }
}

Use Anime Garden MCP with multiple AI models

TypingMind connects MCP tools at the workspace level, so once Anime Garden is connected, you can use it with different AI models in TypingMind instead of setting it up separately for each model. You can run MCP locally on your device or connect to a remote MCP server URL.

Option 1: Use the local connector

Use this when the MCP server needs access to local files, apps, or private resources on your computer.

1

Open the MCP settings

In TypingMind, go to Settings, Advanced Settings, then Model Context Protocol and choose Setup Connector.

  1. Open TypingMind in your browser.
  2. Click the Settings icon.
  3. Go to Advanced Settings.
  4. Open the Model Context Protocol section.
  5. Click Setup Connector and choose This Device.
TypingMind MCP connector setup screen with This Device selected
2

Run the connector command

Choose This Device, copy the command from TypingMind, and run it in Terminal. Keep the process running while you use MCP.

  1. Copy the setup command shown by TypingMind.
  2. Open Terminal on macOS or Windows Terminal on Windows.
  3. Paste and run the command.
  4. Approve the package install if Terminal asks you to proceed.
  5. Keep the Terminal window running while using MCP tools.
3

Add Anime Garden as a server

When the connector status is Ready, click Edit Servers and paste the MCP server configuration.

  1. Wait until the connector status shows Ready.
  2. Click Edit Servers.
  3. Paste the Anime Garden MCP server configuration.
  4. Save the server list.
  5. Refresh if you want to confirm the connector is still ready.
TypingMind MCP settings showing active server and Edit Servers button
{
  "mcpServers": {
    "yjl9903-animegarden": {
      "command": "npx",
      "args": [
        "-y",
        "@animegarden/monorepo"
      ]
    }
  }
}
4

Use it across models

Save the server list, open Plugins, enable the Anime Garden MCP tools, then select any supported AI model in TypingMind and use the tools in chat or assign them to an AI agent.

  1. Open the Plugins page in TypingMind.
  2. Enable the Anime Garden MCP tools.
  3. Start a chat and choose the AI model you want to use.
  4. Use the MCP tools in chat or assign them to an AI agent.
  5. Switch to another AI model whenever needed without reconnecting MCP.
TypingMind chat using enabled MCP tools with a selected AI model
Can you use Anime Garden to help me with this task?
Anime Garden
Sure. I read it.
Here is what I found using Anime Garden.

Option 2: Add an MCP server URL

Use this when Anime Garden is already hosted remotely or your team wants one shared connector that multiple users can access.

1

Open MCP connectors

In TypingMind, go to Plugins, open MCP connectors, then choose Add URL.

  1. Open TypingMind in your browser.
  2. Go to Plugins.
  3. Open MCP connectors.
  4. Click Add URL.
TypingMind Add Custom MCP Server URL form
2

Paste the server URL

Enter your server URL in the Server URL field. Add a connection name, description, icon, custom HTTP headers, or OAuth client settings if the server requires them.

  1. Paste your server URL into the Server URL field.
  2. Enter a connection name for Anime Garden.
  3. Add a description and icon if you want it to be easier to identify.
  4. Add custom HTTP headers or OAuth client details if the server requires authentication.
3

Create the connection

Click Create connection, then return to the Plugins list and confirm the new MCP connection is active.

  1. Click Create connection.
  2. Return to the MCP connectors list.
  3. Confirm the Anime Garden connection appears as active.
  4. Refresh the plugin list if the connection does not appear immediately.
4

Switch models without reconnecting

Start a chat with your preferred model, enable the Anime Garden tools from Plugins, and switch to another model whenever needed. The MCP connection stays available to the TypingMind workspace.

  1. Start a new chat in TypingMind.
  2. Select the AI model you want to use.
  3. Enable the Anime Garden tools from Plugins.
  4. Ask the model to use the tool when needed.
  5. Switch to another AI model and reuse the same MCP connection.
TypingMind chat using enabled MCP tools with a selected AI model
Can you use Anime Garden to help me with this task?
Anime Garden
Sure. I read it.
Here is what I found using Anime Garden.

Frequently asked questions

What is the Anime Garden MCP server used for?

Anime Garden is an MCP server that lets compatible AI clients connect to external tools and context. In TypingMind, you can add this MCP server once and make its tools available in your AI workspace.

Can I use Anime Garden MCP with multiple AI models in TypingMind?

Yes. TypingMind connects MCP tools at the workspace level, so you can use Anime Garden with different AI models such as Claude, ChatGPT, Gemini, or other models you have configured in TypingMind without setting up the MCP server separately for each model.

Why use Anime Garden MCP with TypingMind?

TypingMind is one of the best frontends for LLM chat because it brings multiple AI models, prompts, plugins, AI agents, API keys, and MCP tools into one workspace. With Anime Garden connected, you can use its MCP tools across your preferred models while keeping your chat workflow organized in TypingMind.

How do I connect Anime Garden MCP to TypingMind?

Anime Garden can be connected in TypingMind with the local MCP connector or by adding a remote MCP server URL. Use the local connector when the server needs access to files, apps, or private resources on your device, and use a server URL when the MCP server is hosted remotely.

What tools does Anime Garden MCP provide in TypingMind?

Anime Garden exposes MCP capabilities that can be enabled from the TypingMind Plugins page and used in chat or assigned to AI agents.

Do I need to share my API keys with TypingMind to use Anime Garden MCP?

No. TypingMind is local-first and lets you keep your model providers, API keys, prompts, and MCP configuration under your control. If Anime Garden requires authentication, add the required headers, OAuth settings, or local configuration for that MCP server when you create the connection.

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