Universal Image Generator
This universal image generator MCP server provides AI assistants with multi-provider image generation and transformation capabilities, supporting Google Gemini, ZhipuAI (CogView-4), and Alibaba Bailian (WanX) through a unified interface. Built by Tony Wang using Python with FastMCP, it features automatic prompt translation and optimization for each provider's preferred language (English for Gemini, Chinese for ZhipuAI/Bailian), comprehensive image transformation tools including URL-based editing with mask support, and flexible input methods supporting base64 encoding, file paths, and public URLs. The implementation includes Docker deployment, automatic filename generation, local image saving with display functionality, and provider-specific optimizations like detailed prompt templates and translation capabilities using each provider's native language models, making it valuable for multilingual image generation workflows, content creation pipelines, and building AI assistants that need access to diverse image generation services without manual API integration.
Composite of vulnerability cleanliness, spec conformance, provenance, stability, and usage signals — scanned and weighted by Cognium. Human and agent signals are tracked separately. Last scanned 2026-09-28.
Scan details: Circle-IR · 2026-09-28 · Appeal
View full trust & usage report →Metadata
- Version
- 1.0.0
- Skill type
- atomic
- Execution layer
- mcp-remote
- Category
- cloud-infra
- Source
- PulseMCP
- Author type
- human
- Last scanned
- 2026-09-28
- Updated
- 2026-09-28
Use via MCP
Resolve Universal Image Generator from your agent
Streamable HTTP transport at https://api.skillsregistry.net/mcp. No auth for read tools. Discovery: .well-known/mcp.json.
One command in your shell — Claude Code wires it up and verifies the connection. Run /mcp in any session to confirm.
claude mcp add --transport http --scope user skillsregistry https://api.skillsregistry.net/mcp--scope user for --scope project to commit it to .mcp.json.