Fetch Hacker News stories by type with structured data using MCP server for seamless integration
The Hacker News MCP Server is a specialized tool that adheres to the Model Context Protocol (MCP) standard, designed to facilitate seamless integration between AI applications like Claude Desktop and specific data sources. This server provides a structured API for fetching information from Hacker News, one of the most popular technology discussion forums on the web. By leveraging MCP, it enables developers and end-users to leverage the vast array of features and data provided by hacker news in their AI workflows.
The Hacker News MCP Server offers a range of core features that make it an indispensable tool for developers and users who wish to interact with Hacker News data through controlled API calls. These features include:
Model Context Protocol (MCP) is a standardized framework that allows AI applications to interact with various data sources and tools through a unified interface. MCP servers like the Hacker News server provide APIs that conform to this protocol, enabling seamless integration and consistent behavior across different platforms.
graph TD
A[AI Application] -->|MCP Client| B[MCP Protocol]
B --> C[Hacker News MCP Server]
C --> D[Data Source/Tool]
style A fill:#e1f5fe
style C fill:#f3e5f5
style D fill:#e8f5e8
The Hacker News MCP Server is designed to be compatible with various MCP clients, including:
To start using the Hacker News MCP Server, you first need to clone its repository and install the necessary dependencies. Execute the following commands in your terminal:
git clone https://github.com/pskill9/hn-server
cd hn-server
With the project cloned, proceed to install all required npm packages by running:
npm install
The next step is to build your local server. This allows you to run a locally hosted instance of the MCP server that can be used as a data source within AI applications.
npm run build
For VSCode Claude extension:
{
"mcpServers": {
"hacker-news": {
"command": "node",
"args": ["/path/to/hn-server/build/index.js"]
}
}
}
One common use case involves integrating the Hacker News MCP Server into a knowledge graph generation system. This allows AI applications to query Hacker News content regularly and add relevant stories to the graph based on their popularity, relevance, or specific tags.
Example Workflow:
Another use case is to develop custom summarization models that can process and provide summaries of important stories from Hacker News for users. This can be particularly useful in environments where real-time or near-real-time analysis is required.
Example Workflow:
Once the server is configured, users can interact with it using natural language or API calls. Here are some example interactions:
These commands will fetch the appropriate data and return it in a structured JSON format.
Below is an overview of compatibility with different MCP clients:
MCP Client | Resources | Tools | Prompts | Status |
---|---|---|---|---|
Claude Desktop | ✅ | ✅ | ✅ | Full Support |
Continue | ✅ | ✅ | ✅ | Full Support |
Cursor | ❌ | ✅ | ❌ | Tools Only |
Here’s an example configuration snippet for adding the server to your MCP settings:
{
"mcpServers": {
"hacker-news": {
"command": "node",
"args": ["/path/to/hn-server/build/index.js"]
}
}
}
The server can be configured through environment variables and arguments passed to the node
command. For example, adjusting the number of stories displayed or specifying API keys for authentication.
export MCP_API_KEY=your_api_key_here
npm run build
How do I integrate Hacker News MCP Server into my AI application?
What are the benefits of using an MCP server like this for AI applications?
Are there any limitations when integrating with other MCP clients?
How do I debug errors returned by the server during integration?
Are there any security considerations when setting up an MCP client with this server?
Contributions are welcome from the community! Feel free to submit pull requests. If you have any questions or need assistance, please join the GitHub repository’s issue tracker for support.
This project is released under the MIT License - feel free to use this in your own projects while adhering to the open-source license terms and conditions.
For more information on Model Context Protocol (MCP) and its ecosystem, visit the official documentation and community forums. Additionally, explore other MCP servers and APIs to expand the functionalities of your AI applications.
By following these guidelines, you can effectively leverage the Hacker News MCP Server within your AI workflows and integrations.
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