Veo
Veo 3 is Google's state-of-the-art model for generating high-fidelity 8s 720p videos with natively generated audio via the Gemini API.
Verdict
Common use cases
- Draft social video concepts from briefs
- Generate placeholder footage for storyboards
- Visualize product ideas before prototyping
- Create quick explainer clips for decks
- Test video ad concepts at low cost
Integration
- Vendor
- Veo
- Category
- other
- Auth
- API_KEY
- Tools
- 5
- Composio slug
veo
Tools
- Download Video (Veo)
Download video (veo)
- Generate Videos (Veo)
Generate videos (veo)
- Get Videos Operation (Veo)
Get videos operation (veo)
- List Models (Gemini API)
List models (gemini api)
- Wait For Video (Veo)
Wait for video (veo)
Setup
Setup guide
- 11. In Switchy, open Settings and navigate to Integrations. 2. Find Veo in the MCP directory and click Connect. 3. You'll be prompted for a Google AI Studio API key with Gemini API access enabled. 4. Visit aistudio.google.com, create a new API key, and ensure the Generative Language API is active in your Google Cloud project. 5. Paste the key into Switchy and click Authorize. 6. Open any Space and type '@Veo generate a 5-second clip of a cat jumping onto a table' to test the connection. 7. The MCP will queue the video, poll for completion, and return a download link when ready. 8. If the test succeeds, the integration is live and all team members with Space access can invoke Veo tools.
What teammates see: by default, memories from Veo are scoped to the Space (PROJECT visibility) - you can mark any memory PRIVATE or share it ORG-wide.
Works well with
Top models
Compatibility data appears once enough Spaces have used this MCP together with a given model.
How Switchy teams use it
Starter prompts
Product Demo Concept
@Veo generate a 7-second video of a smartphone displaying a weather app, camera slowly zooming in on the screen, bright natural lightingOpen in a Space →
Social Media Hook
@Veo generate a 4-second video of a coffee cup being placed on a wooden table, steam rising, morning sunlight from the leftOpen in a Space →
Explainer B-Roll
@Veo generate a 6-second video of hands typing on a laptop keyboard, shallow depth of field, modern office settingOpen in a Space →
Event Teaser Clip
@Veo generate a 5-second video of confetti falling in slow motion against a dark background, colorful lightingOpen in a Space →
Storyboard Placeholder
@Veo generate an 8-second video of a person walking down a city street at sunset, camera following from behindOpen in a Space →
Example outputs
Illustrative - representative of the model's voice and quality, not literal recordings.
@Veo generate a 5-second video of a golden retriever running through a sunlit meadow, camera tracking from the side
Video generation started. Operation ID: op_abc123xyz. Veo is rendering your 5-second clip with the specified scene and camera movement. Generation typically takes 2-4 minutes depending on queue load. You can check progress with the operation ID or wait for completion notification. Once ready, the video will be available for download in MP4 format at 1080p resolution.
This example shows Veo's core video synthesis capability. Generation is asynchronous—prompts return an operation ID immediately, but the actual video takes minutes to render. API key must have generation quota enabled. Be specific about duration, subject, and camera work for best results.
@Veo check the status of operation op_abc123xyz and download the video if it's ready
Operation op_abc123xyz is complete. Video rendered successfully (5.2 seconds, 1920x1080, 24fps). Downloading now... Video saved to your Space's file storage as 'golden_retriever_meadow_20250116.mp4' (8.3 MB). The clip matches your original prompt with smooth side-tracking camera movement and natural lighting.
Demonstrates the polling-and-download workflow. Veo operations don't push notifications, so you must explicitly check status. The 'Wait For Video' tool can automate polling, but adds latency to your prompt response. Downloaded videos consume Space storage quota.
@Veo list available models and generate a 3-second video of a coffee cup steaming on a wooden table using the highest-quality model
Available models: veo-001 (standard quality, faster), veo-002 (high quality, slower). Using veo-002 for your request. Generation started—operation ID: op_def456uvw. The 3-second coffee scene is rendering with enhanced detail and lighting realism. Estimated completion: 3-5 minutes. This model produces sharper textures and more accurate physics simulation for steam and reflections.
Shows model selection paired with generation. Different Veo models trade speed for quality. The 'List Models' tool helps you choose, but model availability and naming may change as Google updates the API. Always verify current model options before committing to a workflow.
Use-case deep-dives
When Veo replaces your contractor for quick feature demos
A 6-person SaaS team ships features every two weeks and needs demo videos for the changelog. Hiring a contractor costs $300-500 per video and takes 3-5 days. Veo's generate-and-download flow lets a product manager prompt a 30-second walkthrough, wait for render, and pull the file in under 10 minutes. The API key auth means one seat can batch-generate three variants for A/B testing subject lines. This works when your demos are screen-capture style or abstract motion graphics. If you need live-action footage with real humans or complex scene transitions, Veo's generation quality won't match a professional editor. For teams shipping weekly and needing same-day turnaround on simple explainer clips, Veo turns video production into a Tuesday morning task instead of a vendor negotiation.
Veo for high-volume social clips at small creator studios
A 3-person content studio posts 15 TikTok and Instagram Reels per week for B2B clients. They spend 8 hours editing stock footage into 15-second clips with text overlays. Veo's batch generation tool lets them script 15 prompts Monday morning, kick off renders, and download finished videos by Tuesday. The wait-for-video polling means they can queue the entire week's content without manual babysitting. This breaks down when clients demand brand-specific footage or precise timing cuts—Veo generates net-new video, not edited composites of existing assets. If your studio's value is creative direction and you're okay with AI-generated B-roll, Veo cuts production time by 60%. If clients pay you for hands-on editing craft, this MCP isn't your bottleneck.
When Veo scales internal training across remote teams
A 40-person distributed company runs onboarding in 4 languages. Their training videos are simple: a voiceover explaining a process over animated diagrams. Re-recording and editing each language version costs $1200 and takes a week. Veo's generate-videos tool lets L&D prompt the same script in four languages, render all versions overnight, and download them the next morning. The list-models call helps them pick the right Veo variant for animation style. This works when your training is procedural and diagram-heavy. If you need live trainers on camera or interactive branching scenarios, Veo won't replace your LMS video tooling. For companies onboarding 10+ people per quarter and needing fast localization without contractor overhead, Veo turns a multi-week project into a 48-hour sprint.
Frequently asked
What does the Veo MCP do in Switchy?
The Veo MCP lets your team generate AI videos directly from Switchy prompts using Google's Veo model. You can trigger video generation, check operation status, download completed videos, and list available models without leaving your workspace. It's useful for teams that need quick video drafts for prototypes, marketing concepts, or internal demos.
Do I need a Google Cloud account to use the Veo MCP?
Yes. You need an API key from Google Cloud with access to the Veo API. This typically requires a Google Cloud project with billing enabled and the Vertex AI API activated. One team member with admin access to your Google Cloud project should generate the key and add it to Switchy.
Can the Veo MCP edit existing videos or only generate new ones?
It only generates new videos from text prompts. The MCP doesn't support editing, trimming, or modifying existing video files. If you need to iterate on a video, you'll generate a new version with an updated prompt rather than editing the original output.
How is this different from using Veo through Google AI Studio?
The MCP brings Veo into your Switchy workspace so your team can generate videos alongside other AI tasks without switching tools. You lose the visual preview interface of AI Studio but gain the ability to chain video generation with other MCPs in a single workflow. Better for teams already working in Switchy.
Does video generation count against my Switchy plan limits?
Switchy doesn't charge for MCP tool calls, but Google bills you separately for Veo API usage through your Cloud account. Video generation can be expensive depending on length and resolution, so check Google's Vertex AI pricing before running large batches. The MCP itself uses minimal Switchy resources.