ImageGen
This MCP server provides AI image generation capabilities across multiple providers including OpenAI (DALL-E, GPT-Image-1), Google Gemini, and Replicate (Flux 1.1 Pro), built by WritingMate.ai with TypeScript and featuring unified parameter handling for prompts, dimensions, quality settings, and output formats. The implementation offers four distinct tools for each provider with automatic file saving, optional base64 output, configurable output directories, and provider-specific features like transparent backgrounds for GPT-Image-1 and seed control for Replicate models. Designed for applications requiring flexible image generation with fallback options across different AI providers, supporting use cases from content creation and prototyping to automated visual asset generation where users need reliable access to multiple image generation APIs through a single interface.
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 2026-09-01.
Scan details: Circle-IR · 2026-09-01 · Appeal
View full trust & usage report →Metadata
- Version
- 1.0.0
- Skill type
- atomic
- Execution layer
- mcp-remote
- Category
- media
- Source
- PulseMCP
- Repository
- github.com/writingmate/imagegen-mcp
- Author type
- human
- Last scanned
- 2026-09-01
- Updated
- 2026-09-01
Use via MCP
Resolve ImageGen 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.