mcp-media-engine
Server Configuration
Describes the environment variables required to run the server.
| Name | Required | Description | Default |
|---|---|---|---|
| LOG_LEVEL | No | Log level (debug, info, warn, error). Default: info | info |
| MEDIAENGINE_API_KEY | Yes | Your MediaEngine API key | |
| MEDIAENGINE_BASE_URL | Yes | Your MediaEngine API base URL |
Capabilities
Features and capabilities supported by this server
| Capability | Details |
|---|---|
| tools | {} |
Tools
Functions exposed to the LLM to take actions
| Name | Description |
|---|---|
| generate_article_hero_imageA | Generate a hero banner image for a blog post, article, or editorial page. Creates an AI-generated visual from the title and summary — ideal for CMS hero banners, newsletter headers, and article thumbnails. Use this when you need to create a featured image, hero graphic, or cover illustration for written content. Supports brand style hints and reference images. |
| generate_email_header_imageA | Create an AI-generated header image for marketing emails and newsletters. Optimised for wide-format email banners (typically 600px wide) from subject line and body text. Accepts tone and brand_style hints to stay on-brand. Returns a queued media job whose result URL can be embedded in the email template. Use this to create email graphics, newsletter banners, or promotional header visuals. |
| generate_social_teaser_imageA | Create a social media teaser image optimised for sharing on LinkedIn, Twitter/X, Instagram, or Substack. Auto-selects the best aspect ratio and generates a visual from article or post content. Accepts title, summary, tone, and brand_style. Use this to create social graphics, shareable images, post visuals, or og:image alternatives. Returns a queued media job. |
| generate_article_teaser_videoA | Create a short AI-generated teaser video (15–30s) from an article summary or social post. Produces a shareable video for driving traffic from video-first platforms like YouTube Shorts, TikTok, and Instagram Reels. Pass the article title and summary; the tool builds the generation parameters and submits an async video job. Supports tone and brand_style hints. |
| generate_article_narrationA | Generate audio narration of article or blog post content using text-to-speech. Creates podcast-style audio, accessibility voiceovers, and audio newsletters from written text. Pass the article title and body text; the tool selects an appropriate voice and submits an async audio job. Returns a job ID to poll for the finished audio file. |
| generate_imageA | Generate an image from a text prompt — AI image generation supporting Astria, DALL-E 3, and other models. Use this for any image creation request: illustrations, photos, AI art, logos, icons, graphics, or visuals. Accepts a raw prompt and optional size, quality tier, model, and Astria-specific parameters. Quality tiers: basic (fast/cheap), standard (Nano Banana Gemini 2.5), premium (GPT Image 2.0). Use the intent-specific tools (generate_article_hero_image, etc.) when you know the content type. |
| generate_audioA | Generate audio from text using text-to-speech (TTS) synthesis. Create voiceovers, narrations, podcast audio, or any spoken audio from text input. Supports multiple voices (alloy, echo, fable, onyx, nova, shimmer), formats (MP3, FLAC, AAC, Opus), and playback speeds. Use the intent-specific generate_article_narration tool for article content. |
| generate_videoA | Generate a video using AI video generation. Use this for any video creation request when the intent-specific video tools do not fit. Accepts provider-specific generation parameters directly. |
| wait_for_jobA | Wait for a media generation job to complete — polls until the image, video, or audio is ready or the timeout is reached. Use this to get the final result without manually calling get_job_status in a loop. Returns the completed job on success or an error if the timeout expires. |
| get_job_statusA | Get the status and result of a media job by its ID. |
| list_jobsA | List media jobs with optional filtering, sorting, and cursor-based pagination. |
Prompts
Interactive templates invoked by user choice
| Name | Description |
|---|---|
No prompts | |
Resources
Contextual data attached and managed by the client
| Name | Description |
|---|---|
No resources | |
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