Neon

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Automate workflows and connect AI agents to Neon. Metorial is built for developers. Handling OAuth, compliance, observability, and more.

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Accessing and Navigating Comment Threads

Understanding Comment Threads

Comment threads on Hacker News often contain the most valuable insights and technical discussions. The Neon Hacker News server makes it easy to access and navigate these conversations, allowing you to dive deep into community perspectives on any topic.

Retrieving Individual Comments

To access a specific comment, you'll need its unique item ID. You can request a comment directly by asking your AI assistant to retrieve it. For example, "Show me comment 12345678" will fetch that particular comment along with its metadata, including the author, text content, timestamp, and score.

Each comment response includes essential information such as who wrote it, when it was posted, and its position within the broader discussion. If the comment is part of a thread, you'll also see references to its parent comment and any replies it has received.

Exploring Comment Trees

Comments on Hacker News are organized hierarchically, with replies nested under parent comments to form conversation threads. When you retrieve a story, you'll receive its direct child comments—the top-level responses to the submission.

To navigate deeper into a discussion, you can request specific comments from the thread. Each comment contains an array of child comment IDs, allowing you to traverse the conversation tree. Ask your assistant to "show me the replies to comment X" or "get the child comments for this thread" to explore nested discussions.

This tree structure lets you follow specific conversation branches that interest you, rather than reading every comment sequentially. It's particularly useful for tracking technical debates or finding expert responses buried deep in popular threads.

Accessing Story Comments

The most common way to explore comments is through story submissions. When you request a story's details, the response includes an array of top-level comment IDs. These represent the direct responses to the article or question being discussed.

You can then selectively retrieve comments that seem relevant based on their position or by requesting all top-level comments to get a sense of the overall discussion. From there, navigate into specific threads that contain the most valuable information for your needs.

Practical Tips

When working with large comment threads, start with the top-level comments to identify promising discussion branches. Comments with high scores often indicate valuable contributions worth exploring further.

Remember that comment trees can be deeply nested. If you're looking for specific information, ask your assistant to search through comment content rather than manually traversing every branch. The server retrieves real-time data, so you'll always see the current state of the discussion.

Neon on Metorial

The Neon integration lets you connect to your Neon Postgres databases to query data, inspect schemas, and manage database operations directly from your AI assistant.

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About Metorial

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.

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