Omni Video Editing Comes to Gemini Media MCP

We’ve shipped v0.1.9 of our open-source Gemini Media MCP server, and it’s the biggest release yet. This one adds Google’s gemini-omni-flash-preview model alongside the existing Veo tools — and with it, two things that change how AI agents make video: fast generation and conversational editing.

Omni is a game changer. Here’s why.

Fast Video, Then Conversational Editing

Omni generates 720p video significantly faster than Veo — fast enough to iterate in real time. But the real unlock is what happens next.

With conversational editing, you pass the interaction_id from a previous result and describe only the change — “make the sky stormy,” “slow the pan,” “add a neon sign in the window.” The server holds the video context, so there are no re-uploads and no starting over. Chain edits turn after turn until the shot is exactly right, the same way you’d direct a human editor.

generate_video_omni → interaction_id
edit_video(interaction_id, "make the sky stormy") → new interaction_id
edit_video(interaction_id, "add rain on the lens") → ...

That’s a fundamentally better loop for any AI agent producing video.

Draft on Omni, Finalize on Veo

The new draft flag lets you run the same generate_video call on Omni for a fast, cheap preview — then flip it back to render the final on Veo at full quality (1080p/4K, seeds, frame control). And the new animatic flag on generate_clip renders every beat of a multi-beat reel through Omni first, so you can preview the whole storyboard as a 720p animatic before committing to full Veo renders.

Draft fast, finalize beautiful. No wasted renders.

What’s New in v0.1.9

New tools

generate_video_omni — fast 720p video from a text prompt, with optional reference images (multi-image supported) or an input video to transform. Returns an interaction_id for follow-up edits.
edit_video — conversational editing: pass the interaction_id and describe only the change.
loop_extend — extend a Veo video by ~7s, up to 20 times in one call, chaining each result into the next.

New controls

Video: resolution (720p/1080p/4K on Veo), person_generation, per-call timeout_seconds on Omni tools, output_gcs_uri for Omni on Vertex.
Image: aspect_ratio and person_generation across all Gemini image models.
Responses and sidecar manifests now include a warnings field whenever a request couldn’t be fully honored — no more silent parameter drops.

Model refresh

Added GA image models: gemini-3-pro-image, gemini-3.1-flash-image, and gemini-3.1-flash-lite-image (the cheapest option yet).
Veo model IDs now translate automatically per backend (-001 on Vertex ↔ -preview on the Gemini API) — fixes 404s on Gemini-API-only deployments.

Built to Be Trusted in Production

A good MCP server isn’t just about capabilities — it’s about behaving predictably when it matters. This release includes a hardening pass that reflects how we build at CxO AGI:

Fail-loud everywhere. Unfetchable inputs and unsupported model/mode combinations now error clearly instead of silently changing your output.
SSRF fix. HTTP redirects are re-validated hop-by-hop against the private-IP guard.
Truthful manifests. Real durations, real audio state, size caps on base64 inputs, consistent GCS bucket allowlisting, and accurate MIME detection for Omni inputs.
Setup wizard now validates credentials with a real, time-bounded API call.

It works with both the Gemini API and Vertex AI.

You don’t need to install anything to use Omni. It’s live right now on Adomo.ai, our enterprise AI platform, with the full Gemini Media MCP built in — fast Omni drafts, conversational editing, and cinematic Veo finals, all through natural conversation.

Sign up today at Adomo.ai and start generating and editing video in minutes — no setup, no API keys, no infrastructure to manage.

The Best Media MCP for AI Agents

We originally built Gemini Media MCP for Adomo AI’s enterprise platform, then open-sourced it because every AI agent should be able to create professional visual content. With Omni, it’s now one of the most capable media MCP servers available — fast previews, conversational editing, cinematic finals, the latest image models, and production-grade reliability, all through natural conversation.

Try it live on Adomo.ai — no setup required.

For developers and teams who want to run it themselves:

GitHub — full source code and documentation
Docker Hub — pull and run in seconds
PyPI — install via pip

It works seamlessly with Claude Desktop, Claude Code, and any MCP-compatible platform.

A Few Notes

Omni output is fixed at 720p / 24fps, 3–10s — draft on Omni, then finalize on Veo for high-res output.
Conversational editing on Vertex is preview-status upstream and may require allowlisting; run one smoke edit before relying on it.
Requires google-genai >= 2.10.0.
⚠️ Breaking changes: imagen-3.0-generate-002 was removed (retired by Google). Unsupported aspect_ratio values now error instead of coercing to 16:9 (supported: 16:9, 9:16), and unfetchable image_uri/last_frame_uri/reference URIs now error instead of falling back to text-to-video.
⏰ Imagen 4.x shuts down 2026-08-17 (Google). Results now carry a runtime deprecation warning — migrate to the gemini-3.x image family.

A huge thanks to the amazing teams at Google and DeepMind for building these incredible models.