DALL-E 3
This MCP server provides DALL-E 3 image generation capabilities through OpenAI's API, enabling AI assistants to create high-quality images with configurable parameters including size (1024x1024, 1024x1792, 1792x1024), quality (standard, hd), and style (vivid, natural) options. Built by Chris Oguntolu using TypeScript with the Model Context Protocol SDK, it features automatic directory creation for saved images, comprehensive error handling and validation, and robust logging throughout the generation process. The implementation handles OpenAI API authentication through environment variables, saves generated images locally with descriptive filenames, and provides detailed success/failure responses, making it valuable for content creation workflows, automated design processes, and building AI assistants that need programmatic access to DALL-E 3's image generation capabilities without manual OpenAI interface navigation.
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/chrisurf/imagegen-mcp-d3
- Author type
- human
- Last scanned
- 2026-09-28
- Updated
- 2026-09-28
Use via MCP
Resolve DALL-E 3 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.