GitHub

Connect AI Agents to
GitHub

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

Back to GitHub overview

Monitoring Real-Time Updates and New Submissions

Understanding Real-Time Updates

The Hacker News MCP server provides live access to the latest activity on Hacker News, ensuring you're always working with current information rather than outdated data. This real-time capability is essential for staying informed about breaking tech news, emerging discussions, and trending topics as they develop within the community.

Accessing New Submissions

To monitor the latest posts as they arrive on Hacker News, you can request the newest submissions through simple natural language queries to your AI assistant. Ask for "new stories on Hacker News" or "latest submissions," and the server will retrieve the most recent posts from the community. This feed updates continuously as users submit new content, giving you immediate visibility into fresh discussions, article shares, and questions being posted.

New submissions represent the raw stream of content before community voting has determined what rises to prominence. This makes them particularly valuable for early trend detection, discovering niche topics, or monitoring specific subjects before they gain widespread attention.

Tracking Live Story Updates

Stories on Hacker News are dynamic—their scores change as users vote, comment counts increase as discussions develop, and their ranking shifts accordingly. The server retrieves current data each time you make a request, reflecting the latest state of any story, including its current score, number of comments, and position in various story feeds.

This live data access means you can track how specific stories evolve over time, observe which discussions are gaining momentum, or identify when breaking news captures the community's attention. Simply request the same story at different times to see how engagement has developed.

Monitoring Top and Best Stories

The "top stories" feed shows what's currently on the Hacker News front page based on recent voting activity and submission time. This feed changes throughout the day as new stories gain traction and older ones decline. Requesting top stories gives you a snapshot of what the community considers most important right now.

The "best stories" feed applies additional quality filters, showing posts that have demonstrated sustained value and engagement. Both feeds update continuously, allowing you to monitor shifts in community focus and identify what's capturing attention at any moment.

Practical Monitoring Strategies

For effective real-time monitoring, consider establishing regular check-ins at intervals that match your needs—hourly for breaking news awareness, or several times daily for general trend tracking. You can also focus monitoring on specific topics by requesting new stories and filtering discussions based on keywords or subjects relevant to your interests.

By leveraging the server's real-time capabilities, you transform Hacker News from a passive reading experience into an active monitoring tool that keeps you connected to technology community discussions as they unfold.

GitHub on Metorial

The GitHub integration lets you search repositories, manage issues and pull requests, create branches, and interact with your GitHub content directly from your workflow without switching to a browser.

Connect anything. Anywhere.

Ready to build with Metorial?

Let's take your AI-powered applications to the next level, together.

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.

Star us on GitHub