Connect AI Agents to
Atlassian Confluence
Automate workflows and connect AI agents to Atlassian Confluence. Metorial is built for developers. Handling OAuth, compliance, observability, and more.
Automate workflows and connect AI agents to Atlassian Confluence. Metorial is built for developers. Handling OAuth, compliance, observability, and more.
Comment threads on Hacker News often contain the most valuable insights—technical expertise, nuanced debates, and practical experience shared by developers and technologists. The Hacker News MCP Server makes it easy to access and explore these discussions programmatically through your AI assistant.
To read comments on any Hacker News story, you first need the story's unique identifier. You can obtain this by browsing story feeds (top stories, new stories, or best stories) or by knowing the specific item ID.
Once you have a story ID, simply ask your AI assistant to retrieve the comments. For example, you might say "Show me the comments on story 12345678" or "What are people saying about the top story on Hacker News?"
The server will return structured comment data including the comment text, author, timestamp, score, and relationships between parent and child comments.
Hacker News comments are organized hierarchically—replies appear nested under the comments they respond to, creating conversation threads. Each comment contains information about its parent comment, allowing you to understand the context and flow of discussion.
When retrieving comments, you'll receive data that indicates these relationships. This lets you reconstruct the conversation structure, following specific discussion branches that interest you most. You can ask your assistant to "Show me the replies to this comment" or "What are the top-level comments on this story?"
Not all comments receive equal attention from the community. Hacker News users vote on comments, and higher-scored comments typically contain more valuable or well-reasoned contributions. When exploring threads, pay attention to comment scores as indicators of community agreement or appreciation.
You can ask your assistant to prioritize highly-scored comments, helping you quickly identify the most impactful contributions to a discussion without reading through hundreds of responses.
If you're monitoring discussions about particular topics, technologies, or products, you can regularly check comment threads on relevant stories. The server provides real-time access, so you'll see new comments as they appear, enabling timely responses or awareness of community sentiment.
Each comment includes metadata like posting time, author username, and the comment's position in the thread hierarchy. This information is useful for understanding discussion dynamics, identifying active participants, or analyzing how conversations evolve over time.
You can also retrieve individual comments directly by their unique ID, making it easy to reference or revisit specific contributions within larger discussions.
The Atlassian Confluence integration lets you search, read, and manage your wiki pages and spaces directly from your workflow, enabling seamless access to your team's documentation and knowledge base.
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