anki-mcp-http/dist/cli.js

Model Context Protocol server for Anki - enables AI assistants to interact with your Anki flashcards

"use strict";
var __importDefault = (this && this.__importDefault) || function (mod) {
    return (mod && mod.__esModule) ? mod : { "default": mod };
};
Object.defineProperty(exports, "__esModule", { value: true });
exports.checkForUpdates = checkForUpdates;
exports.parseCliArgs = parseCliArgs;
exports.displayStartupBanner = displayStartupBanner;
const commander_1 = require("commander");
const fs_1 = require("fs");
const path_1 = require("path");
const update_notifier_1 = __importDefault(require("update-notifier"));
function getPackageJson() {
    try {
        return JSON.parse((0, fs_1.readFileSync)((0, path_1.join)(__dirname, '../package.json'), 'utf-8'));
    }
    catch {
        return { version: '0.0.0', name: 'anki-mcp-http' };
    }
}
function getVersion() {
    return getPackageJson().version;
}
function checkForUpdates() {
    (0, update_notifier_1.default)({ pkg: getPackageJson() }).notify();
}
function parseCliArgs() {
    const program = new commander_1.Command();
    program
        .name('ankimcp')
        .description('AnkiMCP HTTP Server - Model Context Protocol server for Anki')
        .version(getVersion())
        .option('-p, --port <number>', 'Port to listen on', '3000')
        .option('-h, --host <address>', 'Host to bind to', '127.0.0.1')
        .option('-a, --anki-connect <url>', 'AnkiConnect URL', 'http://localhost:8765')
        .addHelpText('after', `
Examples:
  $ ankimcp                                    # Use defaults
  $ ankimcp --port 8080                        # Custom port
  $ ankimcp --host 0.0.0.0 --port 3000         # Listen on all interfaces
  $ ankimcp --anki-connect http://localhost:8765

Usage with ngrok:
  1. Start ankimcp in one terminal
  2. In another terminal: ngrok http 3000
  3. Share the ngrok URL with your AI assistant
`);
    program.parse();
    const options = program.opts();
    return {
        port: parseInt(options.port.toString(), 10),
        host: options.host,
        ankiConnect: options.ankiConnect,
    };
}
function displayStartupBanner(options) {
    const version = getVersion();
    const title = `AnkiMCP HTTP Server v${version}`;
    const padding = Math.floor((64 - title.length) / 2);
    const paddedTitle = ' '.repeat(padding) + title + ' '.repeat(64 - padding - title.length);
    console.log(`
╔════════════════════════════════════════════════════════════════╗
║${paddedTitle}║
╚════════════════════════════════════════════════════════════════╝

🚀 Server running on: http://${options.host}:${options.port}
🔌 AnkiConnect URL:   ${options.ankiConnect}

Configuration:
  • Port:               ${options.port} (override: --port 8080)
  • Host:               ${options.host} (override: --host 0.0.0.0)
  • AnkiConnect:        ${options.ankiConnect}
                        (override: --anki-connect http://localhost:8765)

Usage with ngrok:
  1. In another terminal: ngrok http ${options.port}
  2. Share the ngrok URL with your AI assistant

Run 'ankimcp --help' for more options.
`);
}
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