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strato-space/media-gen-mcp

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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

S

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_result
  • response_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
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