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Before connecting the Hacker News MCP server, ensure you have:
First, install the Hacker News MCP server package. The exact installation method depends on your system configuration, but typically involves using a package manager or downloading the server files to a designated directory.
Find your AI assistant's MCP configuration file. This is usually a JSON file named mcp.json
or similar, located in your assistant's settings directory. The exact location varies by platform and assistant type.
Open the configuration file and add an entry for the Hacker News server. You'll need to specify:
The configuration typically follows a standard format where you define the server executable and its launch parameters.
After adding the configuration, save the file and restart your AI assistant. This allows the assistant to recognize and connect to the newly configured Hacker News server.
Once restarted, test the connection by asking your AI assistant a simple query like "What are the top stories on Hacker News right now?" If configured correctly, the assistant should retrieve and display current top stories from the platform.
With the connection established, you can now:
Simply phrase your requests naturally to your AI assistant, and it will use the Hacker News server to retrieve the relevant information.
If the connection fails, verify that:
The OpenMesh integration lets you query, analyze, and manipulate mesh data structures directly through natural language, enabling you to inspect vertices, edges, faces, and perform geometric operations without writing code.
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.