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Gemini Media MCP Server

@mordor-forge

Repository

Basic information

Category

AI & Agents

License

Apache-2.0

Author

mordor-forge

About Gemini Media MCP Server

Unified Go MCP server for AI media generation via Google Gemini API and Vertex AI

Gemini Media MCP Server config

Add this server to your MCP-compatible client using the configuration below.

{
  "mcpServers": {
    "gemini-media-mcp": {
      "command": "python3",
      "args": [
        "scripts/validate-skills.py",
        "skills"
      ]
    }
  }
}

Gemini Media MCP Server tools

14

Text-to-image with up to 14 reference images, 1K–4K, many aspect ratios, 1–4 variations, optional Google Search grounding

Change an existing image (add/remove/restyle/relight/outpaint) while keeping the rest

Step 1 of an upscale to any target size (1K–16K): plan the cheapest crops that cover it, shaped to the edit model's aspect ratios (one tile up to about 4K, a grid beyond, or regions such as faces). Free and local

Align the edited tiles with the image, match their color, blend the overlaps and save one large PNG (8K by default). Free and local

Clip with native audio from text, a first frame, first+last frames, or reference images: Veo (4–8 s, up to 3 references) or Gemini Omni Flash (`omni`: 3–10 s, 360p drafts to 4K, up to 10 references). Returns a `jobId`

Wait for a job (long-poll, default 45 s); downloads the video when done. Safe to repeat

Continue a finished clip: Omni adds up to 10 s (40 s total), Veo about 7 s (up to 148 s total)

Change a finished clip or a video file of up to 10 s with an instruction (Gemini Omni)

Text-to-speech (WAV): one voice, or a two-speaker dialogue, with per-line style control and 30 voices

30-second clips or full songs with lyrics, structure tags, tempo, instrumental mode and image inspiration

Current models, aliases, status, prices; `detail` for supported parameters, `live` to check what your key can use

Price a request before running it and compare models

Estimated spend by period, model and tool; budgets remaining; running jobs

Active backend and why it was chosen, output directory, defaults, warnings

Overview

What is Gemini Media?

Unified Go MCP server for AI media generation via Google Gemini API and Vertex AI

How to use Gemini Media?

The README includes setup instructions such as If a desktop app reports that gemini-media-mcpwas not found, it doesn't see your shell's PATH: use the full path fromcommand -v gemini-`.

Key features of Gemini Media

  • an API key from Google AI Studio (GEMINI_API_KEY), or
  • a Google Cloud project with Vertex AI enabled (GOOGLE_CLOUD_PROJECT plus gcloud auth application-default login)
  • id: veo-3.1-fast-generate-preview
  • id: veo-4.0-generate-preview # a brand-new model
  • These figures are estimates. For a hard stop, also set a spend cap in AI Studio or a budget in Cloud Billing

Use cases of Gemini Media

  • Connect an MCP-compatible client to this repository's service.
  • Review the README-backed setup before enabling it in production.

Frequently asked questions

1

Where is the source code for Gemini Media?

The source code is linked from the repository URL on this page.

2

Does Gemini Media include a standard MCP config?

If the README contains a parseable MCP configuration block, it is shown in the Config tab.

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