media-gen-mcp
Enables AI image and video generation using Google Nano Banana and Veo 3.1 via a LiteLLM gateway, providing tools for synchronous image generation and asynchronous video generation with polling, returning public URLs.
README
media-gen-mcp
MCP server for AI image & video generation — Google Nano Banana (Gemini image) and Veo 3.1 (video) — routed through a LiteLLM / OpenAI-compatible gateway.
Inspired by hosted media MCPs like Higgsfield's: video generation is asynchronous with polling, and every asset comes back as a public URL (never inline base64), so agents can pass results around cheaply.
Tools
| Tool | What it does |
|---|---|
generate_image |
Text → PNG(s) with nano-banana-pro (Gemini 3 Pro Image, default) or nano-banana-2 (Gemini 3.1 Flash Image — faster/cheaper). Synchronous, returns URLs. |
generate_video |
Text (± reference image) → async Veo job. veo-3.1 (flagship, native audio, ~$0.40/s, default) or veo-3.1-lite (~$0.05/s for drafts). 4–8s, landscape or portrait. Returns a video_id. |
get_video |
Poll a job; on completion downloads the MP4 once, caches it, and returns its URL. |
list_generations |
Browse recent generations (id, kind, model, prompt, URL), newest first. |
How it works
agent ──MCP──▶ media-gen-mcp ──OpenAI API──▶ LiteLLM ──▶ Gemini (Nano Banana / Veo)
│
└── saves PNG/MP4 to MEDIA_DIR, serves at /files/* → URL back to agent
- Images:
POST /v1/images/generations(returns base64; decoded and stored here). - Videos:
POST /v1/videos→ pollGET /v1/videos/{id}→GET /v1/videos/{id}/content.
The LiteLLM deployment must expose the four model aliases (nano-banana-pro,
nano-banana-2, veo-3.1, veo-3.1-lite) — see LiteLLM image generation
and video passthrough docs for the gemini/ provider mappings.
Quickstart (Docker)
cp .env.example .env # fill in LITELLM_BASE_URL, LITELLM_API_KEY, MCP_BEARER, PUBLIC_URL
docker compose up -d --build
curl -s localhost:8156/healthz
Endpoints
| Path | Auth | Purpose |
|---|---|---|
POST /mcp |
Authorization: Bearer $MCP_BEARER |
Streamable-HTTP MCP endpoint (stateless — safe for concurrent clients). |
GET /files/<name> |
none (unguessable names) | Generated assets, immutable-cached. |
GET /healthz |
none | Liveness probe. |
The bearer is mandatory — each generation spends real money, so /mcp must never be
exposed unauthenticated.
Environment
| Var | Required | Description |
|---|---|---|
LITELLM_BASE_URL |
✅ | LiteLLM / OpenAI-compatible gateway base URL. |
LITELLM_API_KEY |
✅ | Key for the gateway — prefer a virtual key scoped to the media models with a budget. |
MCP_BEARER |
✅ | Static bearer required on /mcp (≥24 chars; openssl rand -base64 32). |
PUBLIC_URL |
✅ | Public base URL used to build the asset links returned by tools. |
MEDIA_DIR |
— | Asset storage dir (default /data/media in Docker). |
PORT |
— | Listen port (default 8000). |
Connecting a client
Any MCP client that supports Streamable HTTP + bearer headers:
{
"mcpServers": {
"media-gen": {
"url": "https://your-host/mcp",
"headers": { "Authorization": "Bearer <MCP_BEARER>" }
}
}
}
For local/stdio use (claude mcp add media-gen -- node build/index.js), set the same env
vars in .env.
Development
npm install
npm run dev # HTTP entrypoint with hot reload
npm run typecheck
npm run smoke # initialize + tools/list against a running server
SMOKE_GENERATE=1 npm run smoke # also runs one real (paid) image generation
License
MIT
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