2Xapi.com GPT-image MCP Server
Related Servers
Alternatives to 2Xapi.com GPT-image MCP Server
No user-submitted related servers found.
Related Servers
- AlicenseNot gradedqualityBmaintenanceEnables any MCP-compatible agent to generate and edit images using an existing Codex/ChatGPT subscription, exposing image generation and editing as tool calls.51 npmMIT
- AlicenseAqualityCmaintenanceEnables MCP clients such as Claude Code to generate images from text prompts, optionally guided by reference images, through a single generate_image tool that uses the OpenAI Images API when configured and automatically falls back to Qwen-Image 2.1 on a local ComfyUI server.152 npmMIT
- AlicenseAqualityCmaintenanceEnables MCP-compatible coding agents to generate and edit images from text prompts or local files, returning both a saved file path and an inline image block. Supports up to four sequential images per call, model listing, and one-command setup across OMP, Codex, Claude Code, Cursor, and opencode.334 npmMIT
- AlicenseAqualityCmaintenanceGenerates and edits images via Gemini, Grok, and GPT-image providers for MCP clients like Claude Code that lack native image generation.316 npmMIT
- AlicenseNot gradedqualityCmaintenanceEnables coding agents and other MCP clients to generate images from text prompts and edit, restyle, or extend existing images through an OpenAI-compatible /v1/images API. Results are returned both inline as image content blocks and as files saved to disk, so agents can view and reuse them within a normal task.36 npm1MIT
- AlicenseAqualityDmaintenanceEnables LLMs to generate images via MCP by calling AI models from providers like SiliconFlow, OpenAI, or custom APIs, with tools for image generation and model listing.2MIT
TDQS
Scored across 6 tools
Each tool has a clearly distinct purpose: configuration get/set, moderation control, image generation, image editing, and model listing. There is no meaningful overlap or ambiguity between tool boundaries.
All tools follow a consistent verb_noun snake_case pattern: get_config, set_config, set_moderation, generate_image, edit_image, list_image_models. Verb choice and naming style are uniform throughout.
Six tools is well-scoped for an image generation MCP server: configuration, moderation, generation, editing, and model discovery. Each tool earns its place without unnecessary bloat or missing essentials.
The core workflow is covered: configuring the backend, generating images, editing images, and listing available models. The only minor gap is that get_config does not explicitly expose current moderation settings, though set_moderation persists them to config.json.