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Before connecting the Hacker News MCP server, ensure you have an AI assistant that supports the Model Context Protocol (MCP), such as Claude Desktop or another compatible application. You'll also need basic familiarity with editing JSON configuration files.
First, find your AI assistant's MCP configuration file. For Claude Desktop, this is typically located at:
~/Library/Application Support/Claude/claude_desktop_config.json%APPDATA%\Claude\claude_desktop_config.jsonOpen the configuration file in a text editor and add the Hacker News MCP server to the mcpServers section. Your configuration should look like this:
{
"mcpServers": {
"hackernews": {
"command": "npx",
"args": ["-y", "@modelcontextprotocol/server-hackernews"]
}
}
}
If you already have other servers configured, simply add the hackernews entry alongside them, ensuring proper JSON formatting with commas between entries.
Close and restart your AI assistant application completely for the changes to take effect. The server will automatically initialize when the application launches.
Once connected, you can interact with Hacker News through natural language requests to your AI assistant. Here are some examples:
The server handles all the technical details behind the scenes, retrieving and formatting data from Hacker News in real-time.
If the server doesn't connect, verify that:
With the Hacker News MCP server successfully connected, you now have instant access to tech community discussions, trending topics, and valuable insights—all through simple conversation with your AI assistant.
The Canva integration lets you create and customize designs programmatically, allowing you to generate social media graphics, presentations, and marketing materials directly through AI-powered conversations.
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.