mcp-image — MCP Image Generation & Editing Server

Main

• Treat output paths as part of the contract: set IMAGE_OUTPUT_DIR to an absolute path so every generated image is saved and reviewable.

• Pick a quality preset for your workflow: use fast for iteration, balanced for most work, and quality only for final deliverables (README preset table).

• If you use OpenAI mode, keep provider env vars isolated and never commit keys; test with a single prompt first to verify permissions and output formats.

Source-backed notes

• README documents MCP configs for Codex (~/.codex/config.toml) and Cursor (~/.cursor/mcp.json) using npx -y mcp-image.
• README lists quality presets with a speed hint for fast (~30–40s) and env var control via IMAGE_QUALITY.
• README includes a Claude Code setup command (claude mcp add ... -- npx -y mcp-image) and notes IMAGE_OUTPUT_DIR must be an absolute path.

FAQ

• Do I need OpenAI to use it?: No — README says Gemini is the default provider; OpenAI is optional via IMAGE_PROVIDER=openai.
• Where do images go?: To IMAGE_OUTPUT_DIR (absolute path) per README; the server creates the directory if missing.
• How do I control speed vs quality?: Use presets via IMAGE_QUALITY (fast/balanced/quality) as documented in README.