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The Hacker News MCP Server provides real-time access to new submissions as they arrive on the platform, allowing you to monitor fresh content without constantly refreshing the site or writing custom polling scripts. This capability is essential for staying current with breaking news, tracking specific topics as they emerge, or being among the first to discover valuable resources shared with the community.
To retrieve new submissions, simply request the "new stories" feed through your AI assistant. The server will fetch the most recently submitted items from Hacker News, ordered by submission time with the newest entries appearing first. These submissions include all types of content: external links, Show HN posts, Ask HN discussions, and job postings.
Each submission returned includes comprehensive metadata such as the title, URL (if applicable), author username, submission timestamp, current score, and the number of comments. This structured data makes it easy to quickly evaluate whether a submission warrants deeper investigation.
For ongoing awareness, periodically request new submissions throughout your work session. Since the server provides real-time data, each query returns the current state of new submissions. You can establish a rhythm that matches your needs—checking every few minutes for high-frequency monitoring or less frequently for casual awareness.
Once you've retrieved new submissions, you can ask your AI assistant to filter them based on keywords, domains, or themes relevant to your interests. For example, request only submissions mentioning "machine learning" or links from specific publications. This combination of real-time access and intelligent filtering creates a powerful monitoring tool.
When a new submission catches your attention, immediately request its comments to gauge community reaction. Early comments often set the tone for discussion and provide expert insights. This rapid transition from discovery to detailed analysis is one of the key advantages of having direct API access through the MCP server.
Developers can track new open-source project announcements. Researchers can monitor papers and articles in their field as they're shared. Product teams can catch discussions about their space early enough to participate meaningfully. Technical recruiters can spot promising talent through thoughtful submissions and comments.
The real-time nature of new submission monitoring means you're accessing the same stream of content that Hacker News power users watch, giving you equivalent awareness without requiring constant manual checking.
The Semgrep integration lets you scan code for security vulnerabilities and code quality issues directly from your development environment, enabling you to query findings, run custom rules, and review security patterns without leaving your workflow.
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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.