Real-time Chinese trending topics from major platforms with easy AI integration and clickable markdown output
HotNews MCP Server is a specialized Model Context Protocol (MCP) enabled server, designed to deliver real-time hot trending topics from major Chinese social platforms and news sites. This server facilitates the integration of various high-volume data sources into AI applications, enhancing their capabilities with dynamic content updates. The key features include support for nine prominent Chinese platforms such as Zhihu Hot List, 36Kr Hot List, Baidu Hot Discussion, and IT News, among others.
HotNews MCP Server's core functionalities revolve around its seamless integration with AI clients that adhere to the MCP protocol. MCP is a versatile standard for connecting various AI applications to external data sources and tools, acting as a bridge between them. HotNews MCP Server ensures compatibility across a range of AI platforms including Claude Desktop, Continue, Cursor, among others, through its well-defined API interface.
HotNews MCP Server supports real-time updates from multiple platforms, providing an exhaustive set of hot topics that cater to diverse user interests. The server outputs data in a Markdown format with clickable links, making it easier for downstream applications like AI chatbots and content generators to process the information. Heat index support is also available where applicable, allowing clients to prioritize topics based on their popularity.
The architecture of HotNews MCP Server adheres closely to the MCP protocol standards, ensuring consistent communication between the server and its clients. The data flow follows a client-server model where MCP clients send requests to the server, which in turn processes these requests using a combination of web scraping techniques and API calls. The server then sends structured responses back to the clients.
The following steps outline a typical request and response cycle within this architecture:
This process ensures that HotNews MCP Server can efficiently handle requests from multiple clients simultaneously while maintaining the integrity of data presentation. The server's robust protocol implementation guarantees reliability and security, ensuring that all communication between clients and the server adheres to best practices defined by MCP.
HotNews MCP Server offers installation options for developers who wish to integrate it into their AI applications or for users looking to leverage its functionalities directly. Currently, two main methods are supported: NPX and Docker.
npx
)For a quick start using npx
, your setup involves installing the required package and initiating the server with specific arguments:
{
"mcpServers": {
"mcp-server-hotnews": {
"command": "npx",
"args": [
"-y",
"@wopal/mcp-server-hotnews"
]
}
}
}
This JSON snippet demonstrates how to configure your MCP environment, with @wopal/mcp-server-hotnews
being the package manager command used. The -y
flag signifies a silent installation process.
While not all required images are available directly from Docker Hub, one can still build and deploy HotNews MCP Server using Docker. Here’s an example configuration:
{
"mcpServers": {
"mcp-server-hotnews": {
"command": "docker",
"args": [
"run",
"-i",
"--rm",
"wopal/mcp-server-hotnews"
]
}
}
}
This setup ensures that the server operates within a containerized environment, providing enhanced stability and isolation compared to stand-alone installations.
HotNews MCP Server can significantly enhance several AI application workflows by fetching up-to-the-minute data and presenting it in structured formats. Here are two practical use cases:
AI chatbots or conversational agents can query HotNews MCP Server to fetch real-time trending news from various platforms. Upon receiving the information, these applications can display the latest headlines or trends, thereby providing users with a dynamic and relevant user experience. This integration ensures that AI-driven interfaces always stay updated with the buzz in Chinese social media.
Content generation tools powered by AI models can use data from HotNews MCP Server to inform their outputs. By analyzing trending topics and hashtags, these systems can create more accurate and contextually appropriate responses or articles. For example, an AI news summarizer can produce a summary based on the most impactful trends identified during the day.
HotNews MCP Server supports seamless integration with clients compatible with the MCP protocol. The provided tools such as get_hot_news
allow developers to request and retrieve data from specified platforms efficiently. Here’s an example usage:
get_hot_news([3]) # Get Baidu Hot Discussion only
get_hot_news([1,3,7]) # Get hot lists from zhihuHot, Baidu, and Hupu
get_hot_news([1,2,3,4]) # Get hot lists from zhihuHot, 36Kr, Baidu, and Bilibili
These commands illustrate how versatile the get_hot_news
function is in allowing developers to specify multiple sources for data retrieval. By specifying a list of platform IDs, clients can request comprehensive insights across different domains.
HotNews MCP Server has been tested against multiple MCP-compatible clients, demonstrating its reliability and performance across various environments. Below is a compatibility matrix summarizing the current status:
MCP Client | Resources | Tools | Prompts | Status |
---|---|---|---|---|
Claude Desktop | ✅ | ✅ | ✅ | Full Support |
Continue | ✅ | ✅ | ✅ | Full Support |
Cursor | ❌ | ✅ | ❌ | Tools Only |
This table highlights the current integration status of HotNews MCP Server with various clients. While all clients are fully compatible within resource and tool support, only certain prompts are supported by Cursor at present.
Advanced configuration options enable further customization to suit specific needs or enhance security measures. The following are configurable settings typically found in an advanced setup:
{
"mcpServers": {
"[server-name]": {
"command": "npx",
"args": ["-y", "@modelcontextprotocol/server-[name]"],
"env": {
"API_KEY": "your-api-key"
}
}
}
}
In this example, an environment variable API_KEY
is used to restrict access and ensure that only authorized clients can interact with the server. Such settings help in maintaining data privacy and security.
HotNews MCP Server uses a combination of web scraping techniques and API calls from supported platforms to fetch trending topics. Real-time updates are achieved through periodic polling intervals configured within the server settings, ensuring that data reflects the latest trends.
Yes, additional customization such as modifying request frequency or adding custom headers is possible using environment variables. Refer to the configuration
documentation for more details on available options.
To update your API key, locate it in the server configuration file and modify its value accordingly. This ensures that any new API keys are reflected without disrupting service continuity.
While HotNews MCP Server supports multiple platforms efficiently, limits may exist depending on resource constraints or specific platform terms of use. For detailed limitations, refer to the server’s official documentation.
HotNews MCP Server incorporates robust security measures such as API key validation and periodic security audits to protect data integrity and user privacy. Detailed guidelines for securing your installation are available in the Security section of the documentation.
Contributions from developers are highly encouraged, especially those looking to improve or extend the server's capabilities further. To contribute, follow these steps:
git checkout -b add-new-feature
.git push origin add-new-feature
.By adhering to these guidelines, you can help enhance HotNews MCP Server while also contributing to a community-driven project.
HotNews MCP Server is part of a broader ecosystem focused on enhancing AI applications via the Model Context Protocol. For more information and resources related to MCP, visit official MCP documentation or explore relevant communities on platforms like GitHub and Stack Overflow.
This comprehensive documentation provides an overview of HotNews MCP Server’s capabilities and integration with AI applications, emphasizing its role in delivering real-time data feeds from major Chinese social platforms. By embracing this server, developers can significantly enhance the functionality of their AI systems, ensuring they always stay updated with the latest trends and insights.
RuinedFooocus is a local AI image generator and chatbot image server for seamless creative control
Learn to set up MCP Airflow Database server for efficient database interactions and querying airflow data
Simplify MySQL queries with Java-based MysqlMcpServer for easy standard input-output communication
Build stunning one-page websites track engagement create QR codes monetize content easily with Acalytica
Access NASA APIs for space data, images, asteroids, weather, and exoplanets via MCP integration
Explore CoRT MCP server for advanced self-arguing AI with multi-LLM inference and enhanced evaluation methods