media MCP Server
MCP server for AI image generation and editing powered by Google Gemini
Discovered via github-topic:model-context-protocol and last synced 3mo ago.
1. Install the package
npx -y @seungmanchoi/nano-banana-mcp
2. Add to claude_desktop_config.json
{
"mcpServers": {
"-seungmanchoi-nano-banana-mcp": {
"command": "npx",
"args": [
"@seungmanchoi/nano-banana-mcp"
]
}
}
}Config file location: ~/Library/Application Support/Claude/claude_desktop_config.json (macOS) / %APPDATA%\Claude\claude_desktop_config.json (Windows)
List recently generated videos with prompts, models, and timestamps.
Any text
Path
Set or update the Gemini API key. Persists across sessions.
Previous generation with audio support.
Older generation, stable.
`1`+
Description
Fast variant of Imagen 3, optimized for speed.
Generate a new image from a text description. Supports optional `model` override.
`720p`, `1080p`, `4k`
Edit an existing image with text instructions, optional reference images, and optional `model` override.
Generate a video from a text prompt. Supports text-to-video, image-to-video, and frame interpolation.
`4`, `6`, `8` (number)
Description
Continue editing the last generated/edited image in the session. Supports optional `model` override.
Check configuration status, active models, output directories, and last image/video info.
`Documents\nano-banana-videos\`
Set the default Gemini model for images. Persists across sessions.
List recently generated and edited images with prompts and timestamps.
`16:9`, `9:16`
Options
`veo-3.1-generate-preview`, `veo-3-generate-preview`, `veo-2-generate-preview`
Implementing and auditing GCP VPC firewall rules to enforce network segmentation, restrict ingress and egress traffic, apply hierarchical firewall policies across the organization, and monitor firewall rule effectiveness using VPC Flow Logs.
Auditing Google Cloud Platform IAM permissions to identify overly permissive bindings, primitive role usage, service account key proliferation, and cross-project access risks using gcloud CLI, Policy Analyzer, and IAM Recommender.
Configuring Google Cloud Identity-Aware Proxy (IAP) to enforce per-request identity verification for Compute Engine, App Engine, Cloud Run, and GKE services using access levels, context-aware policies, and programmatic access with service accounts.
Implement GCP Binary Authorization to enforce deploy-time security controls that ensure only trusted, attested container images are deployed to Google Kubernetes Engine and Cloud Run.
Sample code and notebooks for Generative AI on Google Cloud, with Gemini Enterprise Agent Platform
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