Automate workflows and connect AI agents to Tavily. Metorial is built for developers. Handling OAuth, compliance, observability, and more.
The Hacker News MCP server provides powerful capabilities for looking up user profiles and tracking community member activity. Whether you're researching subject matter experts, analyzing engagement patterns, or identifying thought leaders in specific technical domains, the user profile features give you direct access to comprehensive member information.
To look up a Hacker News user profile, simply ask your AI assistant about a specific username. You can request general profile information or drill down into specific aspects of a user's activity. The server retrieves data directly from Hacker News, including karma scores, account creation dates, biographical information, and activity history.
When you query a user profile, you'll receive structured information that includes:
Beyond basic profile data, you can investigate a user's complete activity history on the platform. This includes both their story submissions and their comments across various discussions. This capability is particularly valuable when you want to understand a user's areas of expertise, their engagement level within the community, or their perspective on specific topics.
You might ask questions like "What has [username] posted about recently?" or "Show me [username]'s most popular submissions." The server processes these natural language requests and returns relevant activity data in an easily digestible format.
Looking up user profiles serves multiple purposes. If you're researching a technical topic, you can identify and follow contributors who consistently provide insightful commentary. When evaluating community sentiment around a technology or product, understanding who's commenting and their reputation within the community adds valuable context.
User profile data also helps with competitive intelligence and industry research. Track what influential developers and entrepreneurs are discussing, or see how recognized experts in specific fields engage with new technologies and trends.
Simply communicate your needs naturally to your AI assistant. The MCP server handles all the technical details of fetching and formatting the data, allowing you to focus on analysis rather than data retrieval mechanics.
The Tavily integration lets you perform AI-powered web searches and retrieve real-time information from across the internet directly within your MCP-enabled applications, enabling your AI assistants to access current data and factual content for more accurate and up-to-date responses.
Let's take your AI-powered applications to the next level, together.
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.