Gemini Omni MCP
FastMCP server for Google's gemini-omni-flash-preview video model, enabling text-to-video, image-to-video, and video editing with stateful interactions and batch generation.
README

Gemini Omni MCP
MCP server for Google's Gemini Omni Flash video model — text-to-video, image-to-video, reference-guided video, and conversational video editing with native audio, straight from your AI agent.
Setup
Get a Gemini API key from Google AI Studio, then add the server to your MCP config.
Claude Desktop / Claude Code / Cursor
Add to your MCP config (mcp.json / .claude.json / claude_desktop_config.json):
{
"mcpServers": {
"gemini-omni": {
"command": "uvx",
"args": ["gemini-omni-mcp@latest"],
"env": {
"GEMINI_API_KEY": "your-api-key-here"
}
}
}
}
Droid CLI
droid mcp add gemini-omni "uvx gemini-omni-mcp@latest" --env GEMINI_API_KEY=your-api-key-here
Generated MP4s are saved to ~/gemini_omni_videos by default (set OUTPUT_DIR to change).
Features
- Text-to-video: prompt-only MP4 generation with generated audio (music, ambience, SFX)
- Image-to-video: animate a single reference image with motion and camera direction
- Reference-to-video: up to 6 reference images to lock subjects, style, or props
- Conversational editing: iterate on a generated video via
previous_interaction_id, or upload your own MP4 and edit it - Prompt role tags:
<FIRST_FRAME>and<IMAGE_REF_N>bind reference images to roles - Timing cues:
[0-3s],[3-6s],[6-10s]direct the action beat by beat - Batch generation: run multiple prompts in conservative parallel batches (max 4)
- URI or inline delivery: robust Files API polling and download built in
Output is 720p 24fps MP4 with SynthID watermarking (preview-quality model).
Showcase
All videos below were generated by this server with gemini-omni-flash-preview, sound on.
Corgi on a hoverboard
A corgi wearing tiny goggles rides a glowing hoverboard through a neon-lit Tokyo street at night, rain reflections on the pavement, camera tracking alongside, single continuous shot, cinematic lighting, upbeat synthwave music.
https://github.com/user-attachments/assets/4b9a8e87-7db0-469d-a261-3c354f7fe9b8
Astronaut latte art
An astronaut in a white spacesuit pours latte art into a floating cup inside a cozy moon-base cafe, Earth visible through a large window, steam swirling in low gravity, slow dolly-in, warm lighting, gentle ambient cafe sounds.
https://github.com/user-attachments/assets/88072ef8-1ce4-4c80-a05a-bfb5531d1271
Origami ocean
An origami paper whale swims gracefully through a stylized paper-craft ocean, paper waves folding and unfolding, paper seagulls gliding above, soft sunlight, camera slowly orbiting, calm orchestral score.
https://github.com/user-attachments/assets/c1e31341-e53c-4a55-af12-d6bb9432dcf5
Tools
generate_video
Generates or edits one MP4 and returns JSON with video.path, interaction_id, and metadata.
| Argument | Type | Description |
|---|---|---|
prompt |
string | Scene, motion, camera, lighting, mood, and audio direction |
task |
string? | text_to_video, image_to_video, reference_to_video, or edit. Inferred if omitted |
aspect_ratio |
string? | 16:9 (default) or 9:16 |
duration_seconds |
int? | Optional preview field, 3 to 10 |
reference_image_paths |
list? | Up to 6 local image paths |
input_video_path |
string? | Local MP4 to upload and edit |
delivery |
string? | uri (default, recommended) or inline |
previous_interaction_id |
string? | Continue editing a generated video |
enhance_prompt |
bool? | Optional LLM prompt enhancement, default false |
batch_generate
Runs multiple prompts in parallel batches, capped at 4.
| Argument | Type | Description |
|---|---|---|
prompts |
list | One prompt per video |
task, aspect_ratio, duration_seconds, reference_image_paths, delivery, enhance_prompt |
— | Shared across the batch, same semantics as generate_video |
batch_size |
int? | Parallelism, capped at MAX_BATCH_SIZE |
Configuration
Everything is configured through environment variables (or a local .env):
| Variable | Default | Description |
|---|---|---|
GEMINI_API_KEY |
— | Required. GOOGLE_API_KEY also accepted |
OUTPUT_DIR |
~/gemini_omni_videos |
Where generated MP4s are saved |
DEFAULT_ASPECT_RATIO |
16:9 |
16:9 or 9:16 |
DEFAULT_DELIVERY |
uri |
uri or inline |
DEFAULT_DURATION_SECONDS |
unset | Optional 3-10s target |
REQUEST_TIMEOUT |
300 |
Generation timeout in seconds |
FILE_POLL_INTERVAL |
5.0 |
Seconds between Files API polls |
FILE_POLL_TIMEOUT |
600 |
Max seconds waiting for file activation |
MAX_BATCH_SIZE |
4 |
Max parallel generations |
ENABLE_PROMPT_ENHANCEMENT |
false |
LLM-enhance prompts before generation |
LOG_LEVEL |
INFO |
Logging level |
Prompting tips
- Ask for a "single continuous shot" and "no scene cuts" for one-scene outputs.
- Always include audio direction, for example "gentle ambient sound, no dialogue".
- For edits, keep the prompt short and add "Keep everything else the same".
- Use
<FIRST_FRAME>and<IMAGE_REF_N>tags to bind reference-image roles. - Timing cues like
[0-3s],[3-6s], and[6-10s]work well.
Limitations
- Preview model: 720p, 24fps, MP4 only, SynthID-watermarked.
- System instructions, temperature, negative prompts, voice edits, YouTube sources, and multi-video reasoning are unsupported.
- Uploaded-video editing is unavailable in some regions.
Development
git clone https://github.com/nikships/gemini-omni-mcp
cd gemini-omni-mcp
uv sync --all-extras
uv run ruff format .
uv run ruff check .
uv run mypy gemini_omni_mcp/
uv run pytest
uv build
Releases are automated: every push to main bumps the version and publishes to PyPI (see PUBLISHING.md).
License
Gemini Omni MCP is licensed under the MIT license. See LICENSE for details.
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