io.github.strato-space/media-gen-mcp

MCPcommunity
v1.0.4io.github.strato-spaceUnknownUpdated 6mo agonpmGitHub

MCP server for OpenAI Images/Videos and Google GenAI (Veo) media generation.

Media Gen MCP is a strict TypeScript Model Context Protocol (MCP) server for OpenAI Images (, ), OpenAI Videos (Sora), and Google GenAI Videos (Veo): generate/edit images, create/remix video jobs, and fetch media from URLs or disk with smart vs inline outputs and optional processing. Production-focused (full strict typecheck, ESLint + Vitest CI). Works with fast-agent, Claude Desktop, ChatGPT,…

Automatically indexed from public sources. Not yet verified by the developer on Forge.Claim this listing →
6mo agoLast update
Package
Authorio.github.strato-space
LicenseUnknown
Version1.0.4
Sourcemcp-registry
Trust Status
B
60/100Good
Listed in Forge index+10/10
Publisher identity verified+0/25
Publisher: run `forge publish` from the package repo to claim ownership
Ed25519 publish signature+0/10
Included automatically when the publisher runs `forge publish`
Domain verification+0/5
Publisher: host /.well-known/forge.json on the package homepage with { "publisher": "<github-login>" }
CVE scan · clean+30/30
Static analysis · clean+20/20
npm provenance (Sigstore)+0/5
Publish from GitHub Actions with the --provenance flag
Paste into Claude Code, Cursor, or any AI assistant to fix all gaps
StatusCommunity-indexed
PublisherUnverified
SignatureUnsigned
Domain
Provenance
Dependencies60 resolved+ · none vulnerable
Tool surface14 tools · 1 privileged
Security scan✓ Cleanv1.0.4 · 20d ago
EvalsNone
IndexedJun 13, 2026

Verification confirms publisher identity (repo ownership), not code safety. The security scan covers known CVEs and suspicious install scripts — it cannot prove the absence of malicious code.

About

Media Gen MCP is a strict TypeScript Model Context Protocol (MCP) server for OpenAI Images (, ), OpenAI Videos (Sora), and Google GenAI Videos (Veo): generate/edit images, create/remix video jobs, and fetch media from URLs or disk with smart vs inline outputs and optional 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…

Keywords
mcp