strato-space/media-gen-mcp
by Various
Media Gen MCP — Strict TypeScript MCP server for OpenAI gpt-image-1 and sora-2: generate, edit, and fetch images/video with smart compression, resourcelink and image outputs, and a
MCP
strato-space/media-gen-mcp
Added 1 June 2026
Overview
A strict TypeScript MCP server for OpenAI's gpt-image-1 and sora-2 models. It generates, edits, and fetches images and video with smart compression, resourcelink and image outputs, and includes a built-in test tool for MCP clients. Production-focused with full strict TypeScript and optional sharp processing.
Best for
Best for
Developers building MCP-based tools that need image and video generation from OpenAI models
Use cases
- Generating images from text prompts via OpenAI's gpt-image-1 model
- Editing existing images with smart compression in MCP workflows
- Fetching and managing image/video outputs for MCP client applications
How to use
Install
npx -y github:strato-space/media-gen-mcp --env-file /path/to/media-gen.env Tools exposed
tool_resultresponse_format
Tested with
Claude Desktop, Cursor, Windsurf, VS Code, ChatGPT
Notes
A strict TypeScript MCP server for OpenAI’s gpt-image-1 and sora-2 models. It generates, edits, and fetches images and video with smart compression, resourcelink and image outputs, and includes a built-in test tool for MCP clients. Production-focused with full strict TypeScript and optional sharp processing.
8 stars on GitHub. Last updated 2026-01-30. Licensed MIT.
Use cases
- Generating images from text prompts via OpenAI’s gpt-image-1 model
- Editing existing images with smart compression in MCP workflows
- Fetching and managing image/video outputs for MCP client applications
Pros
- Production-focused with strict TypeScript for reliability
- Built-in test tool simplifies MCP client integration
- Optional sharp processing enables efficient image compression
Cons
- Low GitHub stars (8) indicate limited community adoption or maturity
- Depends on OpenAI API, incurring usage costs and rate limits
- Requires an MCP client setup, adding initial configuration overhead
Indexed from awesome-mcp-servers-punkpeye and enriched against its public facts.
Pros
- Production-focused with strict TypeScript for reliability
- Built-in test tool simplifies MCP client integration
- Optional sharp processing enables efficient image compression
Cons
- Low GitHub stars (8) indicate limited community adoption or maturity
- Depends on OpenAI API, incurring usage costs and rate limits
- Requires an MCP client setup, adding initial configuration overhead
Pairs with
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