A
licenseA
qualityB
maintenanceExposes OpenAI's gpt-image-2 (image generation and editing) as an MCP server for tools like generate_image, edit_image, and iterative edit sessions.
6
37 npm
12
MIT
gpt-image-2-mcp
by FullBars
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TDQS
A4.6/5.0
Scored across 7 tools
Disambiguation5/5
Each tool has a unique role: text-to-image generation, one-shot image editing, async job polling, and the session lifecycle (start/continue/end/list). The only adjacent pair is edit_image vs continue_edit_session, but the stateful vs one-shot distinction is clearly explained.
Naming Consistency5/5
All tools follow a consistent verb_noun snake_case pattern such as generate_image, edit_image, get_image_job, start_edit_session, and list_edit_sessions. There are no mixed conventions or vague verbs.
Tool Count5/5
Seven tools is well-scoped for an image generation and editing server. Each tool addresses a distinct need—generation, editing, async polling, and session management—without redundancy.
Completeness5/5
The tool surface covers the full workflow: generate images, edit/compose them, poll background jobs, and manage iterative multi-turn sessions. There are no critical gaps such as missing session termination or job status retrieval.
Maintenance
ActivityMaintained
ResponsivenessNo issues