GPT Image
This MCP server integrates with OpenAI's gpt-image-1 model for text-to-image generation and editing services, built with Python using asyncio, Pydantic settings management, and organized storage with date-based directory structures. It features comprehensive caching with memory and Redis backends, prompt template management for optimized image generation, flexible transport support (stdio for Claude Desktop, HTTP for web integration), and automatic cost estimation with usage tracking. The implementation includes robust error handling, image metadata management, storage cleanup policies, and supports multiple output formats (PNG, JPEG, WebP) with quality and compression controls, making it valuable for AI assistants that need reliable image generation capabilities with proper file management and cost monitoring.
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
- database
- Source
- PulseMCP
- Repository
- github.com/lansespirit/image-gen-mcp
- Author type
- human
- Last scanned
- 2026-09-28
- Updated
- 2026-09-28
Use via MCP
Resolve GPT Image 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.