Image Generation (Flux-Schnell)
This MCP server, developed by an unspecified author, enables image generation using Replicate's flux-schnell model. Built with TypeScript and leveraging the Model Context Protocol SDK, it offers configurable image parameters such as resolution, aspect ratio, and quality. The implementation focuses on providing a standardized interface for text-to-image generation, including features like saving generated images to specified directories and full error handling. It's particularly useful for applications requiring on-demand image creation, enabling use cases such as content illustration, design prototyping, and AI-assisted art generation without complex API integrations or local model deployments.
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
- devops-ci
- Source
- PulseMCP
- Repository
- github.com/mikeyny/ai-image-gen-mcp
- Author type
- human
- Last scanned
- 2026-09-28
- Updated
- 2026-09-28
Use via MCP
Resolve Image Generation (Flux-Schnell) 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.