EverArt Forge
This MCP server implementation provides advanced image generation capabilities through integration with EverArt's AI models. Developed by Nick Baumann, it offers both vector and raster image creation, supporting formats like SVG, PNG, JPEG, and WebP. The server features flexible storage options, automatic optimization, and a range of AI models for different styles and quality levels. It's designed to work seamlessly with Cline, making it particularly useful for AI applications requiring high-quality image generation, such as creating logos, icons, or photorealistic scenes. The implementation focuses on user-friendly prompts and efficient image processing, suitable for both creative and technical use cases.
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
- media
- Source
- PulseMCP
- Repository
- github.com/nickbaumann98/everart-forge-mcp
- Author type
- human
- Last scanned
- 2026-09-28
- Updated
- 2026-09-28
Use via MCP
Resolve EverArt Forge 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.