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Automate workflows and connect AI agents to Salesforce. Metorial is built for developers. Handling OAuth, compliance, observability, and more.
Automate workflows and connect AI agents to Salesforce. 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 on the internet. This guide will help you effectively access and navigate these conversations using the Hacker News MCP server.
To access comments on a specific story, you'll first need the story's unique identifier. Once you have this ID, simply request the comment thread through your AI assistant using natural language. For example, you might ask "Show me the comments on story 38475832" or "What are people saying about this Hacker News post?"
The server will retrieve the complete comment thread associated with that story, providing you with structured data about each comment including the author, text content, timestamp, and score.
Hacker News comments are organized in a tree structure, where replies are nested under parent comments. When you retrieve a comment thread, you'll receive this hierarchical structure intact, allowing you to understand the flow of conversation.
Each comment contains references to its children (replies), enabling you to traverse the discussion from top-level comments down through multiple levels of replies. This structure helps you identify which comments are responding to specific points and how conversations branch into different subtopics.
Sometimes you may want to examine a specific comment rather than an entire thread. Each comment has its own unique identifier, and you can retrieve individual comments directly by referencing this ID. This is particularly useful when tracking specific discussions or following up on noteworthy insights without processing the entire conversation.
Each comment includes valuable metadata beyond just the text content. You'll see the author's username, allowing you to identify who's contributing to the discussion. The timestamp shows when the comment was posted, helping you understand the chronology of the conversation. Comment scores indicate community reception, though scores may not be visible for very recent comments due to Hacker News's voting mechanics.
When exploring deep comment threads, start from the top-level comments and work your way down through replies. This approach helps you understand context before diving into specific debate branches. Pay attention to comment scores and author reputations to identify particularly valuable contributions. Remember that the most insightful comments aren't always at the top—sometimes they're buried several replies deep in technical discussions.
Connect to Salesforce to query, create, and update records across objects like Accounts, Contacts, Opportunities, and Cases directly from your workflow. Use natural language to search data, manage pipelines, and automate CRM tasks without switching to the Salesforce interface.
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.