media-gen-mcp

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.

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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 → poll GET /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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