diff --git a/MCP Integration/magic_hour_mcp.ipynb b/MCP Integration/magic_hour_mcp.ipynb
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+{
+ "cells": [
+  {
+   "cell_type": "markdown",
+   "metadata": {},
+   "source": [
+    "# Create AI video with Magic Hour MCP\n",
+    "\n",
+    "Connect CrewAI 1.15.22 to Magic Hour's hosted MCP server. Magic Hour exposes image, video, and audio generation tools. This quickstart discovers tools without spending credits, then optionally runs one text-to-video task.\n",
+    "\n",
+    "Prerequisites:\n",
+    "- Python 3.10\u20133.13\n",
+    "- [Magic Hour API key](https://magichour.ai/developer)\n",
+    "- `OPENAI_API_KEY` for the optional crew run\n"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": null,
+   "metadata": {},
+   "outputs": [],
+   "source": [
+    "%pip install -q \"crewai==1.15.22\" \"crewai-tools[mcp]==1.15.22\"\n"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": null,
+   "metadata": {},
+   "outputs": [],
+   "source": [
+    "import os\n",
+    "\n",
+    "from crewai import Agent, Crew, Process, Task\n",
+    "from crewai_tools import MCPServerAdapter\n",
+    "\n",
+    "assert os.environ.get(\"MAGIC_HOUR_API_KEY\"), \"Set MAGIC_HOUR_API_KEY before continuing.\"\n",
+    "\n",
+    "server_params = {\n",
+    "    \"url\": \"https://mcp.magichour.ai/\",\n",
+    "    \"headers\": {\"Authorization\": f\"Bearer {os.environ['MAGIC_HOUR_API_KEY']}\"},\n",
+    "    \"transport\": \"streamable-http\",\n",
+    "}\n"
+   ]
+  },
+  {
+   "cell_type": "markdown",
+   "metadata": {},
+   "source": [
+    "## Discover tools\n",
+    "\n",
+    "This connects and lists tools only. It does not start a generation job or spend Magic Hour credits.\n"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": null,
+   "metadata": {},
+   "outputs": [],
+   "source": [
+    "with MCPServerAdapter(server_params, connect_timeout=60) as tools:\n",
+    "    print(f\"Discovered {len(tools)} Magic Hour tools\")\n",
+    "    print(\"\\n\".join(tool.name for tool in tools))\n"
+   ]
+  },
+  {
+   "cell_type": "markdown",
+   "metadata": {},
+   "source": [
+    "## Create one video\n",
+    "\n",
+    "The next cell starts a credit-consuming render. It creates one project, waits on that same project ID, and asks the agent to return the exact signed download URL without trimming query parameters.\n"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": null,
+   "metadata": {},
+   "outputs": [],
+   "source": [
+    "assert os.environ.get(\"OPENAI_API_KEY\"), \"Set OPENAI_API_KEY before running the crew.\"\n",
+    "\n",
+    "with MCPServerAdapter(server_params, connect_timeout=60) as tools:\n",
+    "    producer = Agent(\n",
+    "        role=\"AI video producer\",\n",
+    "        goal=\"Create one polished video and return its exact download URL\",\n",
+    "        backstory=(\n",
+    "            \"You produce short videos with Magic Hour. Create each project once, wait for the \"\n",
+    "            \"same project ID to finish, and preserve signed download URLs exactly as returned.\"\n",
+    "        ),\n",
+    "        tools=tools,\n",
+    "        verbose=True,\n",
+    "    )\n",
+    "    task = Task(\n",
+    "        description=(\n",
+    "            \"Create a five-second cinematic video of bioluminescent jellyfish drifting through \"\n",
+    "            \"deep ocean water. Wait for completion and return the exact download URL.\"\n",
+    "        ),\n",
+    "        expected_output=\"The completed project ID and exact signed video download URL.\",\n",
+    "        agent=producer,\n",
+    "    )\n",
+    "    result = Crew(agents=[producer], tasks=[task], process=Process.sequential).kickoff()\n",
+    "    print(result)\n"
+   ]
+  }
+ ],
+ "metadata": {
+  "kernelspec": {
+   "display_name": "Python 3",
+   "language": "python",
+   "name": "python3"
+  },
+  "language_info": {
+   "name": "python",
+   "version": "3.12"
+  }
+ },
+ "nbformat": 4,
+ "nbformat_minor": 5
+}