Automate workflows and connect AI agents to Hackernews. Metorial is built for developers. Handling OAuth, compliance, observability, and more.
Comment threads on Hacker News contain some of the most valuable insights and technical discussions in the tech community. The MCP server makes accessing and navigating these conversations straightforward, allowing you to dive deep into discussions without manually browsing the website.
To access comments on any Hacker News story, you first need the story's unique identifier. Once you have a story of interest—whether from browsing top stories or new submissions—you can request its comment thread directly through your AI assistant using natural language.
Simply ask to see the comments for a specific story by referencing its title or ID. The server will retrieve the complete comment thread, providing you with structured data about each comment, including the comment text, author, timestamp, and score.
Hacker News comments are organized in a tree structure, where replies nest under parent comments to create threaded discussions. The server preserves this hierarchical relationship, allowing you to understand the flow of conversation.
When you retrieve a comment thread, each comment includes information about its position in the hierarchy. You can identify parent-child relationships to follow specific discussion branches. This structure is particularly useful when conversations split into multiple subtopics or when you want to track how a particular point develops through subsequent replies.
If you're interested in a specific comment rather than an entire thread, you can access individual comments directly using their unique identifiers. This is useful when you want to reference a particular insight, check for updates to a comment, or analyze a specific user's contribution without loading the entire discussion.
Some Hacker News threads contain hundreds of comments across multiple levels of nesting. When working with large threads, you can request specific branches or depth levels to focus on the most relevant portions of the conversation. This targeted approach helps you efficiently navigate extensive discussions without being overwhelmed by the full volume of comments.
When exploring comment threads, pay attention to comment scores, as they indicate community agreement or appreciation. Highly-voted comments often contain expert insights or particularly valuable perspectives.
Timestamps help you understand the evolution of discussions, especially for breaking news or developing stories where early comments may differ significantly from later ones.
User information associated with each comment allows you to identify recurring contributors or subject matter experts who frequently provide valuable commentary in specific domains.
The Hackernews integration lets you search and retrieve stories, comments, and user data from Hackernews directly within your workflow, enabling you to analyze trends, monitor discussions, and gather insights from the tech community.
Let's take your AI-powered applications to the next level, together.
Metorial provides developers with instant access to 600+ MCP servers for building AI agents that can interact with real-world tools and services. Built on MCP, Metorial simplifies agent tool integration by offering pre-configured connections to popular platforms like Google Drive, Slack, GitHub, Notion, and hundreds of other APIs. Our platform supports all major AI agent frameworks—including LangChain, AutoGen, CrewAI, and LangGraph—enabling developers to add tool calling capabilities to their agents in just a few lines of code. By eliminating the need for custom integration code, Metorial helps AI developers move from prototype to production faster while maintaining security and reliability. Whether you're building autonomous research agents, customer service bots, or workflow automation tools, Metorial's MCP server library provides the integrations you need to connect your agents to the real world.