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My MCP Server

An open protocol that connects AI models with local data sources and tools via MCP.

Installation

Add the following to your MCP client configuration file.

Configuration

{
  "mcpServers": {
    "alesion30-my-mcp-server": {
      "command": "node",
      "args": [
        "xxx/my-mcp-server/build/main.js"
      ]
    }
  }
}

MCP (Model Context Protocol) standardizes how AI applications connect to data sources and tools. By running a local MCP server that speaks MCP, you enable your AI models to fetch context, query weather or other data, and call remote services in a consistent way, making your AI workflows more capable and modular.

How to use

You use an MCP client to integrate this local MCP server into your AI workflow. Start the MCP server locally, then configure your MCP client to connect to it. When you issue a request through the client, the server can supply data from local sources and call available services to enrich the AI’s responses. For example, you can query weather or other contextual data, and have that information included in generated messages.

How to install

Prerequisites you need before installation include Node.js and npm. Ensure you have a working development environment with access to the terminal.

Step 1: Install dependencies for the MCP server.

$ npm install

Step 2: Build the MCP server to generate the runnable main file.

$ npm run build

Step 3: Locate the built main file to confirm its full path. This path will be used when registering the MCP server with your client.

$ find `pwd` -maxdepth 2 -name main.js

Additional notes and configuration

Register the MCP server with your MCP client by specifying the Node.js runtime and the path to the built main file. The example below shows the expected configuration structure you would place in the client’s MCP setup. Use the exact path you obtained from the previous step.

{
  "mcpServers": {
    "myMcp": {
      "command": "node",
      "args": ["xxx/my-mcp-server/build/main.js"]
    }
  }
}

Verification and usage check

After registering the server in your MCP client, restart the client application and verify that the MCP server appears as an available MCP endpoint. You can then issue a test request through the client and observe that the server supplies contextual data or calls remote services as part of the response.