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Instead of learning complex commands or API syntax, you can interact with the Hacker News MCP server using simple, conversational requests through your AI assistant. Just describe what you want in plain English, and the server handles the technical details of fetching and formatting the data.
Ask your AI assistant questions like "What are the top stories on Hacker News right now?" or "Show me the newest submissions." The server retrieves current story data including titles, URLs, scores, and submission times. You can be specific with requests like "Find the top 10 stories from today" or keep it general with "What's trending on Hacker News?"
For individual stories, try queries such as "Get details about Hacker News item 39847362" or "Show me the story with the highest score today." The server returns comprehensive information about each submission, including the author, number of comments, and current ranking.
Comments often contain the most valuable insights. Request them naturally: "Show me the comments on that story about AI" or "What are people saying about the latest Python release?" The server fetches entire comment threads, preserving the conversation structure so you can follow discussions as they unfold.
You can also dive deeper with queries like "Show me the most upvoted comments on this thread" or "Get all comments by user X on this story." This makes it easy to identify expert opinions and understand community sentiment.
Learn about community members by asking "What has user patio11 posted recently?" or "Show me the profile for user tptacek." The server retrieves user karma, submission history, comment activity, and biographical information, helping you identify subject matter experts or track contributions from specific individuals.
Stay current with ongoing discussions by making requests like "What new stories have been posted in the last hour?" or "Are there any new comments on that article about databases?" The server provides live data, ensuring you're always working with the most recent information.
Be conversational and specific about what you need. Instead of worrying about exact syntax, focus on clearly describing the information you want. The AI assistant interprets your intent and translates it into appropriate server requests. You can refine results by asking follow-up questions or requesting different data formats.
The natural language approach makes Hacker News data accessible without technical barriers, letting you focus on insights rather than implementation details.
The OpenMesh integration lets you query, analyze, and manipulate mesh data structures directly through natural language, enabling you to inspect vertices, edges, faces, and perform geometric operations without writing code.
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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.