Config is the same across clients — only the file and path differ.
{
"mcpServers": {
"media-gen-mcp": {
"args": [
"-y",
"github:strato-space/media-gen-mcp",
"--env-file",
"/path/to/media-gen.env"
],
"command": "npx"
}
}
}Are you the author?
Add this badge to your README to show your security score and help users find safe servers.
Media Gen MCP is a strict TypeScript Model Context Protocol (MCP) server for OpenAI Images (gpt-image-1.5, gpt-image-1), OpenAI Videos (Sora), and Google GenAI Videos (Veo): generate/edit images, create/remix video jobs, and fetch media from URLs or disk with smart resource_link vs inline image outputs and optional sharp processing. Production-focused (full strict typecheck, ESLint + Vitest CI). Works with fast-agent, Claude Desktop, ChatGPT, Cursor, VS Code, Windsurf, and any MCP-compatible cli
Run this in your terminal to verify the server starts. Then let us know if it worked — your result helps other developers.
npx -y 'github' 2>&1 | head -1 && echo "✓ Server started successfully"
After testing, let us know if it worked:
Five weighted categories — click any category to see the underlying evidence.
No known CVEs.
Checked github against OSV.dev.
Be the first to review
Have you used this server?
Share your experience — it helps other developers decide.
Sign in to write a review.
Others in ai-ml / design
Persistent memory using a knowledge graph
Dynamic problem-solving through sequential thought chains
MCP server for accessing Figma plugin console logs and screenshots via Cloudflare Workers or local mode
Workspace template + MCP server for Claude Code, Codex CLI, Cursor & Windsurf. Multi-agent knowledge engine (ag-refresh / ag-ask) that turns any codebase into a queryable AI assistant.
MCP Security Weekly
Get CVE alerts and security updates for io.github.strato-space/media-gen-mcp and similar servers.
Start a conversation
Ask a question, share a tip, or report an issue.
Sign in to join the discussion.
Media Gen MCP is a strict TypeScript Model Context Protocol (MCP) server for OpenAI Images (gpt-image-1.5, gpt-image-1), OpenAI Videos (Sora), and Google GenAI Videos (Veo): generate/edit images, create/remix video jobs, and fetch media from URLs or disk with smart resource_link vs inline image outputs and optional sharp processing. Production-focused (full strict typecheck, ESLint + Vitest CI). Works with fast-agent, Claude Desktop, ChatGPT, Cursor, VS Code, Windsurf, and any MCP-compatible client.
Design principle: spec-first, type-safe image tooling – strict OpenAI Images API + MCP compliance with fully static TypeScript types and flexible result placements/response formats for different clients.
gpt-image-1.5 model (with gpt-image-1 compatibility and DALL·E support planned in future versions).sora-2, sora-2-pro) with job create/remix/list/retrieve/delete and asset downloads.resource_link/resource outputs.test-images tool that mirrors production result placement (content, structuredContent, toplevel).Strict MCP spec support
Tool outputs are first-class CallToolResult objects from the latest MCP schema, including:
content items (text, image, resource_link, resource), optional structuredContent, optional top-level files, and the isError flag for failures.
Full gpt-image-1.5 and sora-2/sora-2-pro parameters coverage (generate & edit)
openai-images-generate mirrors the OpenAI Images create API for gpt-image-1.5 (