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Hacker News discussions often contain valuable insights and technical expertise. Navigating comment threads effectively through the MCP server allows you to extract meaningful information from these conversations and understand community perspectives on any topic.
Every comment on Hacker News has a unique identifier. To access a specific comment, you can request it directly using its ID. This returns the comment's text content, author information, timestamp, score, and importantly, its relationships to other comments in the thread—both its parent comment and any replies it has received.
When you retrieve a comment, the server provides structured data that shows where this comment sits within the larger conversation. This makes it easy to understand the context of any individual response.
To view an entire discussion, start by accessing the story item that hosts the comments. Each story contains references to its top-level comments—those posted directly in response to the submission rather than to other comments.
From these top-level comments, you can traverse the conversation tree by following the child comment references. Each comment includes identifiers for its replies, allowing you to navigate deeper into nested discussions. This hierarchical structure preserves the conversational flow, showing how discussions branch and evolve.
Understanding comment context is crucial for meaningful analysis. When examining a comment deep in a thread, you can trace back through parent references to understand the full conversation chain. This allows you to see what question prompted a response or what argument a commenter is addressing.
The server provides all necessary identifiers to move both up and down the comment tree, giving you complete flexibility in how you explore discussions.
For broad understanding, start with top-level comments to grasp the main themes of discussion. These often represent the community's primary reactions and perspectives.
To dive deeper into specific topics, follow reply chains that branch off from interesting top-level comments. Technical discussions frequently unfold in these nested threads, where experts engage in detailed dialogue.
When researching specific users' contributions, access their profile to see their comment history, then retrieve individual comments to understand their perspectives and expertise.
Comments include timestamps and scores, helping you identify both recent activity and community-valued contributions. High-scoring comments often contain particularly insightful information, while recent comments show current discussion dynamics.
The server returns comment text in its original format, preserving the authentic voice of the community while providing clean, structured data for analysis or display.
The Turkish Airlines integration lets you search for flights, check flight status, manage bookings, and access Miles&Smiles account information directly through natural language queries. Use it to quickly find available routes, compare fares, track your flights in real-time, and manage your frequent flyer benefits without navigating the website.
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.