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AriOliv

media-gen-mcp

by AriOliv
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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: MCP Veo 3 Video 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

Install Server
A
license - permissive license
A
quality
C
maintenance

How are these scores calculated?

Maintenance

–Maintainers
–Response time
–Release cycle
–Releases (12mo)
Commit activity

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Tools

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  • Glif

    Generate images, video, and audio with Glif's media-generation agent

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    Generate images, video, music and voice from your CLI or AI agent. On-brand AI media toolkit.

  • vap-e

    AI image, video & music generation. Flux, Veo 3.1, Suno V5. Free tier included.

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