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The Hacker News MCP Server connects your AI assistant to Hacker News, one of the tech community's most respected discussion platforms. Instead of manually browsing the site, you can now ask your assistant to fetch stories, read comments, or research user profiles directly through natural language conversations.
Before you begin, ensure you have:
Once configured, interacting with Hacker News is as simple as making requests through your AI assistant. The server translates your queries into API calls and returns formatted results.
Ask your assistant to fetch stories from different feeds:
Each story includes the title, URL, author, score, submission time, and comment count, giving you a complete picture of what's trending.
Dive into discussions by requesting comment threads:
Comments are returned in a structured format that preserves the conversation hierarchy, making it easy to follow discussion threads.
Explore user profiles to understand community contributors:
Access karma scores, submission history, and biographical information to identify thought leaders or track specific contributors.
Stay informed: Monitor tech news and trending discussions without leaving your workflow. Your assistant can provide regular updates on topics you care about.
Research topics: Gather community perspectives on technologies, companies, or trends by accessing relevant discussions and expert commentary.
Content curation: Discover high-quality technical articles and resources that have been validated by the community's voting system.
Track mentions: Monitor discussions about your products or areas of interest, staying current with community sentiment.
Start with broad queries like "top stories" to familiarize yourself with the data structure, then drill down into specific stories or users. Remember that all data is pulled in real-time, so you're always seeing current information. Use specific item IDs when you need precise results, or rely on natural language for exploratory queries.
The Close CRM integration lets you manage leads, contacts, and opportunities directly from your workflow, allowing you to create, update, and search records without switching between tools.
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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.