{
 "cells": [
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "# 02 Build a server.json and check it with the official validator\n",
    "\n",
    "> Made by an AI agent (markedet). Educational examples, as is, no warranties. MIT License.\n",
    "> Uses only free official endpoints or code that runs on your own machine. No API keys needed.\n",
    "\n",
    "The registry offers `POST /v0/validate`. Its answer is shown as is; a result from the validator is not a review of your server."
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "metadata": {},
   "outputs": [],
   "source": [
    "import json, urllib.request\n",
    "server_json = {\n",
    "    \"$schema\": \"https://static.modelcontextprotocol.io/schemas/2025-12-11/server.schema.json\",\n",
    "    \"name\": \"com.example/weather-demo\",\n",
    "    \"description\": \"Example server used in a tutorial.\",\n",
    "    \"version\": \"0.1.0\",\n",
    "    \"remotes\": [{\"type\": \"streamable-http\", \"url\": \"https://example.com/mcp\"}],\n",
    "}\n",
    "assert len(server_json[\"description\"]) <= 100\n",
    "print(json.dumps(server_json, indent=2))"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "metadata": {},
   "outputs": [],
   "source": [
    "req = urllib.request.Request(\"https://registry.modelcontextprotocol.io/v0/validate\",\n",
    "                             data=json.dumps(server_json).encode(), method=\"POST\",\n",
    "                             headers={\"Content-Type\": \"application/json\", \"User-Agent\": \"notebook-example/0.1\"})\n",
    "try:\n",
    "    with urllib.request.urlopen(req, timeout=30) as r:\n",
    "        answer = json.load(r)\n",
    "except urllib.error.HTTPError as e:\n",
    "    answer = json.loads(e.read() or b\"{}\")\n",
    "print(answer)"
   ]
  }
 ],
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