Hackernews MCP Typescript
H

Hackernews MCP Typescript

An MCP server integrated with the HackerNews API, providing functions such as searching for posts, obtaining details, user analysis, trend tracking, and comment analysis to help AI assistants efficiently access and understand HackerNews content.
2.5 points
7.1K

What is the HackerNews MCP Server?

This is a server based on the Model Context Protocol (MCP) that connects the HackerNews API with AI assistants. Through this server, users can search for, obtain, and analyze technical discussion content on HackerNews.

How to use the HackerNews MCP Server?

Simply install and run the server, and then connect in an MCP-supported client (such as Cursor). You can use natural language to query HackerNews content, for example, to find posts on specific topics or analyze user activities.

Applicable Scenarios

It is suitable for researchers, developers, and technology enthusiasts who can quickly obtain the latest technology trends, popular topics, and in - depth discussions on HackerNews through natural language.

Main Features

Search for Posts
You can search for posts on HackerNews based on keywords, authors, ratings, and date ranges.
Get Post Details
Obtain the complete information of a specific post, including metadata, comment trees, and engagement metrics.
Search for Users
Analyze user profiles and activities, and view user statistics, popular posts, and contribution patterns.
Search for Trends
Discover current popular topics by analyzing the keyword frequency in top posts.
Search for Comments
Analyze comment interaction situations, including comment statistics, active commenters, and discussion patterns.
Advantages
Provide an intuitive natural - language interface for users to quickly obtain information
Support multiple search and analysis functions to meet different needs
Efficient caching system to improve response speed
Limitations
It depends on the HackerNews API. If the API is unavailable, it cannot work.
It does not support private data access and is limited to public content.
It requires a certain technical background for setup and operation.

How to Use

Install Dependencies
Ensure that Node.js 18+ and npm/yarn are installed, then clone the project and install the dependencies.
Build the Project
Run the build command to generate an executable file.
Start the Server
Use the start command to run the server.
Connect to the MCP Client
Connect to the server in an MCP - supported client (such as Cursor).

Usage Examples

Find High - Rated Posts Related to AI
Use the `search_posts` command to find high - rated posts related to AI to help understand the latest technology trends.
Get Detailed Information of a Specific Story
Use the `get_post` command to obtain the complete information of a certain story, including comments and engagement metrics.
Analyze User Activities
Use the `search_user` command to analyze the historical records and contribution patterns of a certain user.

Frequently Asked Questions

What should I do if the server fails to start?
What should I do if the MCP connection fails?
What should I do if the API call fails?

Related Resources

HackerNews API Documentation
The official documentation of the HackerNews API, providing information on all available endpoints.
Model Context Protocol Official Website
The official website of the Model Context Protocol, providing protocol specifications and usage guides.
GitHub Repository
The GitHub repository of this project, containing source code and development documentation.

Installation

Copy the following command to your Client for configuration
Note: Your key is sensitive information, do not share it with anyone.

Alternatives

R
Rsdoctor
Rsdoctor is a build analysis tool specifically designed for the Rspack ecosystem, fully compatible with webpack. It provides visual build analysis, multi - dimensional performance diagnosis, and intelligent optimization suggestions to help developers improve build efficiency and engineering quality.
TypeScript
8.9K
5 points
N
Next Devtools MCP
The Next.js development tools MCP server provides Next.js development tools and utilities for AI programming assistants such as Claude and Cursor, including runtime diagnostics, development automation, and document access functions.
TypeScript
8.4K
5 points
T
Testkube
Testkube is a test orchestration and execution framework for cloud-native applications, providing a unified platform to define, run, and analyze tests. It supports existing testing tools and Kubernetes infrastructure.
Go
6.2K
5 points
M
MCP Windbg
An MCP server that integrates AI models with WinDbg/CDB for analyzing Windows crash dump files and remote debugging, supporting natural language interaction to execute debugging commands.
Python
9.6K
5 points
R
Runno
Runno is a collection of JavaScript toolkits for securely running code in multiple programming languages in environments such as browsers and Node.js. It achieves sandboxed execution through WebAssembly and WASI, supports languages such as Python, Ruby, JavaScript, SQLite, C/C++, and provides integration methods such as web components and MCP servers.
TypeScript
6.6K
5 points
P
Praisonai
PraisonAI is a production-ready multi-AI agent framework with self-reflection capabilities, designed to create AI agents to automate the solution of various problems from simple tasks to complex challenges. It simplifies the construction and management of multi-agent LLM systems by integrating PraisonAI agents, AG2, and CrewAI into a low-code solution, emphasizing simplicity, customization, and effective human-machine collaboration.
Python
6.2K
5 points
N
Netdata
Netdata is an open-source real-time infrastructure monitoring platform that provides second-level metric collection, visualization, machine learning-driven anomaly detection, and automated alerts. It can achieve full-stack monitoring without complex configuration.
Go
9.7K
5 points
M
MCP Server
The Mapbox MCP Server is a model context protocol server implemented in Node.js, providing AI applications with access to Mapbox geospatial APIs, including functions such as geocoding, point - of - interest search, route planning, isochrone analysis, and static map generation.
TypeScript
8.8K
4 points
M
Markdownify MCP
Markdownify is a multi-functional file conversion service that supports converting multiple formats such as PDFs, images, audio, and web page content into Markdown format.
TypeScript
31.3K
5 points
N
Notion Api MCP
Certified
A Python-based MCP Server that provides advanced to-do list management and content organization functions through the Notion API, enabling seamless integration between AI models and Notion.
Python
18.0K
4.5 points
D
Duckduckgo MCP Server
Certified
The DuckDuckGo Search MCP Server provides web search and content scraping services for LLMs such as Claude.
Python
62.4K
4.3 points
G
Gitlab MCP Server
Certified
The GitLab MCP server is a project based on the Model Context Protocol that provides a comprehensive toolset for interacting with GitLab accounts, including code review, merge request management, CI/CD configuration, and other functions.
TypeScript
21.9K
4.3 points
U
Unity
Certified
UnityMCP is a Unity editor plugin that implements the Model Context Protocol (MCP), providing seamless integration between Unity and AI assistants, including real - time state monitoring, remote command execution, and log functions.
C#
28.0K
5 points
F
Figma Context MCP
Framelink Figma MCP Server is a server that provides access to Figma design data for AI programming tools (such as Cursor). By simplifying the Figma API response, it helps AI more accurately achieve one - click conversion from design to code.
TypeScript
57.9K
4.5 points
G
Gmail MCP Server
A Gmail automatic authentication MCP server designed for Claude Desktop, supporting Gmail management through natural language interaction, including complete functions such as sending emails, label management, and batch operations.
TypeScript
19.9K
4.5 points
C
Context7
Context7 MCP is a service that provides real-time, version-specific documentation and code examples for AI programming assistants. It is directly integrated into prompts through the Model Context Protocol to solve the problem of LLMs using outdated information.
TypeScript
85.6K
4.7 points
AIBase
Zhiqi Future, Your AI Solution Think Tank
© 2026AIBase