Johnleider MCP

by johnleider

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About

MCP is a Model Context Protocol server implementation that allows AI assistants like Claude to interact with custom tools and resources. Built with the official @modelcontextprotocol/sdk, it runs as a Node.js application and communicates over stdio, making it compatible with VS…

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This MCP server provides a structured foundation for building custom tools and capabilities for AI assistants with:

- Modular Architecture: Organized into distinct modules for tools, resources, and prompts
- Stdio Communication: Compatible with VS Code's MCP integration through stdio transport
- Environment Configuration: Uses dotenv for environment variable management
- TypeScript Support: Full TypeScript integration for type safety
- Extensible Design: Easily add new tools and capabilities by implementing the provided interfaces

The server is designed to be expanded with custom tools for helping with components, layouts, and documentation as indicated in the capabilities description.


pnpm install

To use this MCP server with VS Code, add the following to your .vscode/mcp.json file (or move it to settings.json for global usage):

json
{
"servers": {
"my-mcp-server": {
"command": "node",
"args": ["/absolute/path/to/mcp/dist/index.js"],
"env": {}
}
}
}

Make sure to replace /absolute/path/to with the actual absolute path to the mcp directory.

Additionally, ensure that automatic discovery is enabled in your settings.json file:

json
{
"chat.mcp.discovery.enabled": true
}
``

You can also verify the discovery and configuration by using the command palette in VS Code:

1. Press Ctrl + Shift + P (or Cmd + Shift + P on macOS).
2. Search for
MCP`.
3. Use the available options to check the discovery and configuration settings.

MCP

Machine Context Protocol (MCP) server.

Overview

This is a Model Context Protocol (MCP) server implementation that allows AI assistants like Claude to interact with your custom tools and resources. The server is built using the official @modelcontextprotocol/sdk package and provides a modular architecture for adding custom capabilities.

This MCP server runs as a Node.js application and communicates over stdio, making it compatible with VS Code's MCP integration. It's designed to be extensible, allowing you to add custom tools, resources, and prompts to enhance AI capabilities in your development workflow.

Installation

```bash

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