mcp-server-iqiyi

mcp-server-iqiyi

MCP server for accessing iQiyi API to fetch new releases and trending videos.

Category
访问服务器

README

MCP Server for iQiYi

This project provides an MCP server implementation to access two iQiyi API endpoints:

  1. Get New Releases: Fetches the latest released videos.
  2. Get Trending Videos: Fetches the most popular videos.

The server is built using the FastMCP framework and exposes these functionalities as tools that can be accessed via the MCP protocol.

Features

  • Get New Releases: Returns a list of newly released videos with details such as title, description, image URL, and video URL.
  • Get Trending Videos: Returns a list of trending videos with similar details.
  • Customizable Configuration: Supports environment variables to configure user-specific parameters like IQIYI_UID, IQIYI_AUTH, and IQIYI_DEVICE.
  • Customizable Logging: Allows specifying a custom log directory and log file path.

Tools

get_new_releases

Fetches the latest released videos.

Inputs:

  • count (optional, integer): Number of videos to return (default: 14).

Returns: A formatted string containing details of the latest released videos.


get_trending_videos

Fetches the most popular videos.

Inputs:

  • count (optional, integer): Number of videos to return (default: 14).

Returns: A formatted string containing details of the trending videos.


Installation

  1. Create a Virtual Environment

    python -m venv venv
    source venv/bin/activate  # On Windows: venv\Scripts\activate
    
  2. Install Dependencies Install the required Python packages using requirements.txt:

    pip install -r requirements.txt
    

Configuration Example

Below is an example configuration for integrating this MCP server into your environment:

{
  "mcpServers": {
    "mcp-server-iqiyi": {
      "command": "uv",
      "args": [
        "--directory",
        "D:\\myFile\\code\\mcp-server-iqiyi\\mcp-server-iqiyi",
        "run",
        "main.py"
      ],
      "autoApprove": [
        "get_new_releases",
        "get_trending_videos"
      ],
      "disabled": false,
      "timeout": 30,
      "env": {
        "IQIYI_UID": "<YOUR_UID>",
        "IQIYI_AUTH": "<YOUR_AUTH_TOKEN>",
        "IQIYI_DEVICE": "<YOUR_DEVICE_ID>",
        "IQIYI_LOG_DIR": "D:/custom/logs",  // Optional: Custom log directory
        "IQIYI_LOG_FILE": "D:/custom/logs/mcp-server-iqiyi.log"  // Optional: Custom log file path
      }
    }
  }
}

Environment Variables

  • IQIYI_UID: Your iQiyi user ID.
  • IQIYI_AUTH: Authentication token for accessing the iQiyi API.
  • IQIYI_DEVICE: Device identifier for the API request.
  • IQIYI_LOG_DIR (Optional): Directory where logs will be stored. Defaults to D:/temp/logs.
  • IQIYI_LOG_FILE (Optional): Full path to the log file. Defaults to D:/temp/logs/mcp-server-iqiyi.log.

Usage

  1. Clone the repository to your local machine.
  2. Configure the MCP server settings as shown in the example above.
  3. Start the MCP server using the configured command:
    uv --directory D:\myFile\code\mcp-server-iqiyi\mcp-server-iqiyi run main.py
    
  4. Use the following tools:
    • get_new_releases: Fetches the latest released videos.
    • get_trending_videos: Fetches the most popular videos.

Logging

Logs are stored in the directory specified by the IQIYI_LOG_DIR environment variable or the default directory D:/temp/logs. You can also specify a custom log file path using the IQIYI_LOG_FILE environment variable.

License

This MCP server is licensed under the MIT License. This means you are free to use, modify, and distribute the software, subject to the terms and conditions of the MIT License. For more details, please see the LICENSE file in the project repository.

推荐服务器

Baidu Map

Baidu Map

百度地图核心API现已全面兼容MCP协议,是国内首家兼容MCP协议的地图服务商。

官方
精选
JavaScript
Playwright MCP Server

Playwright MCP Server

一个模型上下文协议服务器,它使大型语言模型能够通过结构化的可访问性快照与网页进行交互,而无需视觉模型或屏幕截图。

官方
精选
TypeScript
Magic Component Platform (MCP)

Magic Component Platform (MCP)

一个由人工智能驱动的工具,可以从自然语言描述生成现代化的用户界面组件,并与流行的集成开发环境(IDE)集成,从而简化用户界面开发流程。

官方
精选
本地
TypeScript
Audiense Insights MCP Server

Audiense Insights MCP Server

通过模型上下文协议启用与 Audiense Insights 账户的交互,从而促进营销洞察和受众数据的提取和分析,包括人口统计信息、行为和影响者互动。

官方
精选
本地
TypeScript
VeyraX

VeyraX

一个单一的 MCP 工具,连接你所有喜爱的工具:Gmail、日历以及其他 40 多个工具。

官方
精选
本地
graphlit-mcp-server

graphlit-mcp-server

模型上下文协议 (MCP) 服务器实现了 MCP 客户端与 Graphlit 服务之间的集成。 除了网络爬取之外,还可以将任何内容(从 Slack 到 Gmail 再到播客订阅源)导入到 Graphlit 项目中,然后从 MCP 客户端检索相关内容。

官方
精选
TypeScript
Kagi MCP Server

Kagi MCP Server

一个 MCP 服务器,集成了 Kagi 搜索功能和 Claude AI,使 Claude 能够在回答需要最新信息的问题时执行实时网络搜索。

官方
精选
Python
e2b-mcp-server

e2b-mcp-server

使用 MCP 通过 e2b 运行代码。

官方
精选
Neon MCP Server

Neon MCP Server

用于与 Neon 管理 API 和数据库交互的 MCP 服务器

官方
精选
Exa MCP Server

Exa MCP Server

模型上下文协议(MCP)服务器允许像 Claude 这样的 AI 助手使用 Exa AI 搜索 API 进行网络搜索。这种设置允许 AI 模型以安全和受控的方式获取实时的网络信息。

官方
精选