{"slug": "integrating-claude-code-with-veo-mcp-generate-hd-ai-videos-from-the-terminal", "title": "Integrating Claude Code with Veo MCP: Generate HD AI Videos from the Terminal", "summary": "A developer integrated Claude Code with the Veo MCP server to generate HD AI videos directly from the terminal, using Google's Veo model. The setup allows developers to create short videos for demos or documentation by issuing plain-language commands within a coding session, without leaving the terminal. The MCP server URL is https://veo.mcp.acedata.cloud/mcp, and authentication requires an uppercase -H flag for the Authorization header.", "body_md": "When I need a short product demo or a visual explanation for a README, the slow part is rarely the idea. The slow part is leaving the terminal, opening another tool, and translating a developer task into a video-editing workflow.\n\nThis guide walks through a terminal-first setup: connecting Claude Code to the Veo MCP server so you can ask for short AI-generated videos in plain language while staying inside your project workspace.\n\nThe source workflow comes from the Ace Data Cloud documentation for Claude Code + Veo MCP. Veo is described there as an AI video generation model from Google, with support for 1080p output and video generation with accompanying audio. In practice, the interesting part for builders is not just the model. It is the MCP layer: Claude Code can call a video tool directly from a coding session.\n\nAfter the MCP server is connected, Claude Code can use two Veo tools:\n\n`veo_generate_video`\n\n: generate video from text or images`veo_generate_video_with_audio`\n\n: generate video with audioThat covers a few practical cases that come up in engineering work:\n\nThe point is not to replace careful design work. It is to make lightweight visual assets easier to prototype when you already know the scene you want.\n\nThe MCP server URL used by this workflow is:\n\n```\nhttps://veo.mcp.acedata.cloud/mcp\n```\n\nClaude Code connects to it over HTTP, and authentication is passed with an `Authorization`\n\nheader:\n\n```\nclaude mcp add veo --transport http https://veo.mcp.acedata.cloud/mcp \\\n  -H \"Authorization: Bearer YOUR_TOKEN\"\n```\n\nA small but important detail: the `-H`\n\nflag must be uppercase. In the Claude Code command, lowercase `-h`\n\nmeans help, not an HTTP header. If the connection looks like it is not receiving your token, check this first.\n\nYou can get the token from the Ace Data Cloud platform after logging in. The same token is used for the MCP server connection, so Claude Code can authenticate when it calls the Veo tools.\n\nClaude Code lets you decide where the MCP configuration should apply. If you omit `-s`\n\n, the default scope is `local`\n\n, which only applies to the project directory where the command runs.\n\nThe documented scopes are:\n\n| Scope | Command parameter | Config file | Applies to |\n|---|---|---|---|\n`local` |\nno `-s` or `-s local`\n|\n`~/.claude.json` |\nonly the project directory where the command runs |\n`user` |\n`-s user` |\n`~/.claude.json` |\nall projects for the current user |\n`project` |\n`-s project` |\n`.mcp.json` in the project root |\nthe current project |\n\nFor a personal experiment, local scope is usually enough. For a tool you expect to use across many repositories, `-s user`\n\nis convenient. For a team project, `-s project`\n\ncan make sense because the config lives in the project root.\n\nOne warning: do not commit real tokens to a public repository. If you use project scope and share the config through git, use an environment variable placeholder such as `${ENV_VAR}`\n\ninstead of a real bearer token.\n\nAfter adding the MCP server, run:\n\n```\nclaude mcp list\n```\n\nYou are looking for the `veo`\n\nserver to show a connected status:\n\n```\nveo  ✓ Connected\n```\n\nIf it does not connect, I would check three things in this order:\n\n`https://veo.mcp.acedata.cloud/mcp`\n\n?`-H`\n\nfor the authorization header?`Bearer`\n\nand not accidentally wrapped or truncated by your shell?Once the server is connected, you do not need to write a separate API request by hand. You can ask Claude Code to use the Veo tool from the current session.\n\nFor an app demo:\n\n```\nI am developing a weather app. Generate a demo video: the phone screen shows weather information, and the background transitions from sunny to rainy.\n```\n\nFor documentation:\n\n```\nGenerate an animation for the README: data flows from the input box on the left to the result panel on the right, passing through three processing nodes in the middle.\n```\n\nFor a terminal video with audio, explicitly ask for the audio-capable tool:\n\n```\nUse veo_generate_video_with_audio to generate a short video with audio: code is typed automatically on a black background, keyboard clicking sounds play, compilation succeeds, and a green ✓ appears.\n```\n\nThese prompts are intentionally concrete. In my experience, video prompts work better when they describe the subject, motion, environment, and expected ending state instead of only saying “make a cool demo.”\n\nI would use this workflow for first-pass assets: demo clips for a landing page draft, quick README visuals, internal prototypes, or short explainers for a feature branch. The value is that the generation step sits next to the code and docs you are already editing.\n\nIf you want the exact setup reference, the original Ace Data Cloud doc is here: [https://platform.acedata.cloud/documents/claude-code-mcp-veo](https://platform.acedata.cloud/documents/claude-code-mcp-veo)", "url": "https://wpnews.pro/news/integrating-claude-code-with-veo-mcp-generate-hd-ai-videos-from-the-terminal", "canonical_source": "https://dev.to/germey/integrating-claude-code-with-veo-mcp-generate-hd-ai-videos-from-the-terminal-1730", "published_at": "2026-07-24 01:03:18+00:00", "updated_at": "2026-07-24 01:33:04.026547+00:00", "lang": "en", "topics": ["artificial-intelligence", "generative-ai", "developer-tools", "ai-tools", "ai-infrastructure"], "entities": ["Claude Code", "Veo", "Google", "Ace Data Cloud"], "alternates": {"html": "https://wpnews.pro/news/integrating-claude-code-with-veo-mcp-generate-hd-ai-videos-from-the-terminal", "markdown": "https://wpnews.pro/news/integrating-claude-code-with-veo-mcp-generate-hd-ai-videos-from-the-terminal.md", "text": "https://wpnews.pro/news/integrating-claude-code-with-veo-mcp-generate-hd-ai-videos-from-the-terminal.txt", "jsonld": "https://wpnews.pro/news/integrating-claude-code-with-veo-mcp-generate-hd-ai-videos-from-the-terminal.jsonld"}}