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media-gen-mcp

media-gen-mcp

by AriOliv
OverviewSchemaSourceRelated ServersDiscussionsAdmin
TypeScript
Remote

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.

Related MCP server: Nanana AI Image Generation Server

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

Available Tools

4 tools
generate_imageA

Generate one or more images from a text prompt using Google's Nano Banana models (Gemini image generation). Returns public URLs to the generated PNGs — pass those URLs onward instead of re-downloading the bytes. Synchronous: the call returns when the images are ready (typically a few seconds). Models: 'nano-banana-pro' (Gemini 3 Pro Image — highest quality, default) and 'nano-banana-2' (Gemini 3.1 Flash Image — faster and cheaper, good for drafts and iterations).

Inputs: prompt (required), n, model.

generate_videoA

Start an ASYNCHRONOUS video generation job with Google's Veo models. Returns a video_id immediately — poll it with the get_video tool every ~10s until status is 'completed', which yields the final MP4 URL. Optionally pass image_url to animate a still image (image-to-video). Models and cost: 'veo-3.1' (flagship quality with native audio, $0.40 per second of video, default) and 'veo-3.1-lite' ($0.05 per second — use for drafts and iterations).

Inputs: prompt (required), size, model, seconds, +1 more.

get_videoA
Idempotent

Check a video generation job started by generate_video. While the job is running it returns the current status; once completed it downloads the MP4, stores it, and returns its public URL. Safe to call repeatedly — completed videos are cached.

Inputs: video_id (required).

list_generationsA
Idempotent

Browse recently generated media (images and videos) with their public URLs, models, and prompts — newest first.

Inputs: limit.

Tool Schema Changelog

Recent tool additions, removals, and schema changes observed during successful MCP inspections.

Loading tool schema changelog…

    Deploy Server
    One endpoint for every MCP toolRayrun runs every MCP server behind one URL and holds the credentials. Each call is decided per client, tool, and argument, then recorded.ray.runAd

    TDQS

    A4.4/5.0

    Scored across 4 tools

    Disambiguation5/5

    Each tool has a clearly distinct purpose: image generation (synchronous), video generation (asynchronous start), video polling/retrieval, and history listing. There is no overlap or ambiguity.

    Naming Consistency5/5

    All tool names follow a consistent verb_noun pattern with snake_case: generate_image, generate_video, get_video, list_generations. No deviations.

    Tool Count4/5

    Four tools is slightly on the low end but appropriate for a focused media generation service. Each tool earns its place and covers the core workflows.

    Completeness4/5

    The set covers image generation, video generation (with polling), and history listing. Minor gaps like a cancel tool for video jobs are not essential for a minimal viable surface.

    Maintenance

    ActivityInactive
    ResponsivenessNo recent community issues

    Resources

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