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The Hacker News MCP server integrates seamlessly with your AI assistant, allowing you to access Hacker News content using conversational language rather than complex commands or API calls. Simply ask questions or make requests in plain English, and the server translates your intent into the appropriate Hacker News data retrieval.
To access current Hacker News content, use natural phrases like:
The server understands your intent and retrieves the appropriate story feed, presenting titles, scores, authors, and links in an easy-to-read format.
When you want to dive deeper into a particular story or comment thread, reference it directly:
The server fetches the complete discussion thread, allowing you to explore community reactions and insights.
Understanding community members and their contributions is straightforward:
You'll receive karma scores, submission history, and biographical information that helps contextualize user contributions.
Natural language queries shine when combining multiple operations:
The server interprets your complex requests and retrieves the relevant data in a single interaction.
Use descriptive language to narrow your search:
While the server accesses structured Hacker News data, your AI assistant can apply additional filtering based on your criteria.
Be specific about what you want to see—mention story types (top, new, best), user information, or comment threads explicitly. When referencing specific content, include identifiers or distinctive details. The more clearly you express your intent, the more precisely the server can retrieve the information you need.
The Cloudflare Observability integration lets you query analytics, logs, and metrics from your Cloudflare zones and accounts directly within your workflow, enabling automated monitoring, troubleshooting, and performance analysis of your edge infrastructure.
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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.