A
licenseNot graded
qualityD
maintenanceProvides AI agents and coding assistants with image generation and editing capabilities using OpenAI's GPT-image-1 model, with support for local or Supabase storage.
52 PyPI
3
MIT
GPT Image Playground MCP
by PEKI7483
Related Servers
Alternatives to GPT Image Playground MCP
No user-submitted related servers found.
Related Servers
- AlicenseNot gradedqualityCmaintenanceEnables text-only agents to generate, edit, and analyze images through a signed-in ChatGPT/Codex account, saving to project assets and returning visual findings as plain text.MIT
- AlicenseNot gradedqualityBmaintenanceEnables image generation and editing via ChatGPT web without API keys, saving images locally with conversation-aware editing.12 npm2MIT
- AlicenseBqualityDmaintenanceEnables generating images from text or transforming existing images using GPT-Image-compatible APIs, with support for OpenAI and Agnes AI backends.2MIT
- AlicenseNot gradedqualityBmaintenanceEnables AI agents to generate images through Gemini running inside the user's own browser, returning results as image files (optionally inlined for display). It also manages the local bridge lifecycle with status, start, and stop tools, plus reference-image prompting and aspect-ratio control.MIT
- AlicenseAqualityCmaintenanceEnables image generation and editing using OpenAI's GPT Image API (gpt-image-1, 1.5, 2) with support for multi-image generation, history management, and batch processing.12298 npm1MIT
TDQS
A3.8/5.0
Scored across 3 tools
Disambiguation5/5
Each tool handles a distinct phase of the image generation workflow: generating, checking status, and downloading. There is no overlap in their purposes, making it clear which tool to use at each step.
Naming Consistency5/5
All three tool names follow a consistent verb_noun pattern (generate_image, get_task_status, download_image), using snake_case and clear action-first naming. The pattern is uniform across the set.
Tool Count5/5
With only 3 tools, the server is tightly scoped to a single workflow (generate, track, download). This is appropriate for a focused purpose and each tool is necessary for the complete flow.
Completeness4/5
The workflow covers the essential lifecycle: generation initiation, status polling, and downloading results. A minor gap is the lack of a cancellation or listing tool, but agents can work around this by waiting or using status checks.
Maintenance
ActivityStale
ResponsivenessNo issues