@runapi.ai/gemini-omni-mcp
This MCP server provides focused access to Gemini Omni models via RunAPI, enabling AI agents to create multimodal generation tasks, poll task results, and check pricing.
create_audio: Generate audio content using thegemini-omni-audiomodel, with optional polling until completion.create_character: Create a character image/asset using thegemini-omni-charactermodel, supporting reference images and descriptions.text_to_video: Convert text prompts into videos using thegemini-omni-text-to-videomodel, with configurable duration (4, 6, 8, or 10 seconds), aspect ratio (16:9 or 9:16), and resolution (720p, 1080p, or 4K).get_task: Poll the status and retrieve output URLs for any previously created task using its ID and original endpoint.check_pricing: Look up current pricing for any Gemini Omni model/endpoint combination — no API key required.
Task execution can either wait for completion (polling) or return immediately with a task ID for asynchronous handling. A RUNAPI_API_KEY is required for creating and polling tasks. Compatible with Claude Code, Codex, Cursor, Windsurf, VS Code, Roo Code, and other MCP-compatible hosts.
Click on "Deploy Server".
Wait a few minutes for the server to deploy. Once ready, it will show a "Started" state.
In the chat, type
@followed by the MCP server name and your instructions, e.g., "@@runapi.ai/gemini-omni-mcp Create an audio task with the text 'Hello'"
That's it! The server will respond to your query, and you can continue using it as needed.
Here is a step-by-step guide with screenshots.
Why This Package?
@runapi.ai/gemini-omni-mcp is a focused Model Context Protocol server for the Gemini Omni model line on RunAPI.
It gives MCP-compatible assistants direct access to 3 endpoints and 5 model variants without loading the full RunAPI catalog.
Use this per-model server when an agent should stay scoped to Gemini Omni. Use @runapi.ai/mcp when one assistant should discover every RunAPI model line.
Related MCP server: imagen-4-mcp
Install
Add it to Claude Code:
claude mcp add gemini-omni -s user -- npx -y @runapi.ai/gemini-omni-mcpUse project scope when the server should be shared with a repository:
claude mcp add gemini-omni -s project -- npx -y @runapi.ai/gemini-omni-mcpCodex, Cursor, Windsurf, VS Code, Roo Code, and other MCP hosts can use the same stdio command:
{
"mcpServers": {
"gemini-omni": {
"command": "npx",
"args": ["-y", "@runapi.ai/gemini-omni-mcp"]
}
}
}check_pricing works before sign-in. For task creation and status polling, ask your assistant to call the login tool. It opens a browser login and saves credentials to ~/.config/runapi/config.json, the same file used by runapi login.
Headless and CI hosts can still set RUNAPI_API_KEY before starting the MCP host.
Ready-made examples are in examples/ for Claude, Cursor, Windsurf, VS Code, and Roo Code.
Tools
Tool | Auth | Purpose |
| Yes | Run a Gemini Omni create audio operation synchronously. Returns the operation result. |
| Yes | Run a Gemini Omni create character operation synchronously. Returns the operation result. |
| Yes | Create a Gemini Omni text to video task and optionally wait for a terminal status. Returns the task id, status, and output URLs. |
| Yes | Fetch the current status and latest payload for an existing task. |
| No | Look up current pricing for a Gemini Omni model and endpoint. |
Models
Gemini Omni covers 5 model variants across 3 endpoints. Each tool accepts the models listed for it:
Tool | Models |
|
|
|
|
|
|
Model availability can change between releases. Use check_pricing or the Gemini Omni model page for the current catalog view.
Agent Prompts
Ask your assistant in natural language; it can inspect pricing, create the task, and return the task id plus output URLs.
Create a task
Run a Gemini Omni text to video task with RunAPI.The assistant can call check_pricing, then text_to_video, and return the task id, status, and output URLs.
Submit without waiting
Create the task but don't wait for it to finish.The assistant calls the create tool with wait: false and returns the task id. Check on it later with get_task.
Check pricing before creating
Check current Gemini Omni pricing, then create the task if it matches my request.The assistant calls check_pricing and can link to the Gemini Omni model page for the canonical catalog entry.
Configuration
The server resolves auth in this order:
RUNAPI_API_KEYenvironment variable, useful for headless and CI hosts~/.config/runapi/config.json, created by the MCPlogintool orrunapi loginNo key, which still allows
check_pricing
The config file is normally managed by login. A pre-provisioned headless config can use:
{
"apiKey": "your_runapi_key"
}Do not commit real API keys.
Links
Resource | URL |
Gemini Omni model page | |
npm package | |
GitHub repository | |
RunAPI MCP overview | |
RunAPI docs |
License
Licensed under the Apache License, Version 2.0.
Available Tools
6 toolscheck_pricingB
Look up RunAPI pricing for the gemini-omni model line.
Inputs: model, action.
create_audioC
Run a synchronous Gemini Omni operation on RunAPI (create audio). Returns the operation result.
Inputs: name (required), audio_id (required), model, example_dialogue, +1 more.
create_characterC
Run a synchronous Gemini Omni operation on RunAPI (create character). Returns the operation result.
Inputs: descriptions (required), reference_image_url (required), model, audio_ids, +2 more.
get_taskB
Fetch the current status and latest result payload for a gemini-omni task.
Inputs: task_id (required), action.
loginA
Authenticate RunAPI by opening a browser PKCE login flow and saving the API key to ~/.config/runapi/config.json.
Inputs: force.
text_to_videoC
Create a Gemini Omni task on RunAPI (text to video). Returns a task id, status, and output URLs.
Inputs: prompt (required), seed, wait, model, +12 more.
Tool Schema Changelog
Recent tool additions, removals, and schema changes observed during successful MCP inspections.
Loading tool schema changelog…
TDQS
Scored across 6 tools
Each tool targets a fairly distinct action (auth, pricing lookup, task polling, and three generation endpoints), so an agent can mostly pick correctly. The main blur is between the synchronous create_character/create_audio operations and the task-based text_to_video + get_task flow, since it's unclear whether the sync creates also produce task ids that get_task can poll.
Names mix three conventions: verb_noun (create_character, create_audio, get_task), verb_noun for a non-resource (check_pricing), a bare verb (login), and a noun-phrase endpoint name (text_to_video). It's still readable, but there is no single predictable pattern across all six.
Six tools is well-scoped for a thin wrapper around one model line: auth, pricing, three generation entry points, and task polling. Nothing feels padded or redundant.
Core lifecycle is only partly covered: generation plus get_task exists, but there is no cancel_task, list_tasks, or bulk status retrieval, and login has no matching logout/config-status tool. The asymmetric model (two sync ops vs one async op) also leaves unclear how results of the sync operations are re-fetched.
Maintenance
Related MCP Connectors
MCP server for Google Veo AI video generation
MCP server for Pixapi: check live credit pricing and balance, then generate images and video.
Chat, image, video, and audio models from many vendors behind one remote MCP server and one key.
Generate images, video, audio and short films with 140+ AI models from any MCP client.
Related MCP Servers
- AlicenseBqualityBmaintenanceMCP server for GPT-4o Image model line, enabling text-to-image task creation, status polling, and pricing checks via RunAPI.4204 npmApache 2.0
- AlicenseAqualityBmaintenanceRunAPI MCP server for the Imagen 4 model line. Create tasks, poll their status, and check pricing through a single RunAPI API key.566 npmApache 2.0
- AlicenseBqualityBmaintenanceMCP server for the InfiniteTalk model line, enabling audio-to-video task creation, status polling, and pricing checks via a RunAPI API key.474 npm1Apache 2.0
- AlicenseBqualityBmaintenanceMCP server for the Runway Aleph model line. Enables creating edit video tasks, polling status, and checking pricing through a single RunAPI API key.374 npmApache 2.0