Connect AI Agents to
Atlassian Confluence
Automate workflows and connect AI agents to Atlassian Confluence. Metorial is built for developers. Handling OAuth, compliance, observability, and more.
Automate workflows and connect AI agents to Atlassian Confluence. Metorial is built for developers. Handling OAuth, compliance, observability, and more.
The Hacker News MCP Server offers several methods to retrieve story feeds, giving you instant access to the most relevant content from the Hacker News community. Whether you're looking for trending discussions, fresh submissions, or highly-rated content, understanding these retrieval options will help you efficiently access the information you need.
Top stories represent the most popular content currently on Hacker News' front page. These stories have gained significant community traction through upvotes and engagement. To retrieve top stories, simply ask your AI assistant for "top stories from Hacker News" or "what's trending on Hacker News right now." This feed is ideal when you want to know what the tech community is discussing at this moment.
New stories show the latest submissions to Hacker News as they arrive, regardless of their vote count or popularity. This feed is perfect for staying ahead of trends or discovering content before it gains widespread attention. Request new stories by asking for "recent Hacker News submissions" or "new posts on Hacker News."
Best stories represent content that has demonstrated lasting value and quality, having maintained high scores over time. This feed filters for submissions that have resonated strongly with the community. Access best stories by requesting "best Hacker News stories" or "highest-rated Hacker News content."
Each story includes comprehensive metadata including the title, URL, author, submission time, score, and number of comments. When you request stories, the server automatically provides this structured information, making it easy to evaluate content at a glance.
You can also request specific stories by their unique identifier if you already know which submission you're interested in. This is particularly useful when following up on particular discussions or tracking specific threads over time.
For most use cases, start with top stories to understand current community priorities. Use new stories when monitoring for specific topics or keywords as content emerges. Best stories work well for research purposes when you need proven, high-quality content.
You can request different quantities of stories depending on your needs—ask for just a handful for quick updates or larger batches for comprehensive analysis. The server handles pagination and data retrieval automatically, delivering clean, ready-to-use results through your AI assistant.
The Atlassian Confluence integration lets you search, read, and manage your wiki pages and spaces directly from your workflow, enabling seamless access to your team's documentation and knowledge base.
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.