Gpt Image 2 Polza MCP server
GPT Image 2 MCP server backed by Polza media and storage APIs.
0 stars
Reviews
Write oneNobody has reviewed Gpt Image 2 Polza yet.
If you have run it, two minutes of your experience saves the next person an afternoon.
Gpt Image 2 Polza tools (5, 1 write)
write = sends, deletes, buys or postsRead from the package source without running it. The installed server may list more.
fetch_generationgenerate_imagemaintenancePerform maintenance operations following workflows.md patterns.
show_output_statsShow statistics about the output directory and recently generated images.
upload_filewrite actionUpload a local file through the Polza Storage API and return its URI & metadata. Useful when the image is larger than 20MB or reused across prompts.
Public scan report
scanner v0.1.9 · 2026-09-27 · same rubric, same numbers if you re-run it
- Code scan47 source files scanned20/25
- –Live reliabilityno gateway calls yet and no remote to proben/a
- –Tool poisoningtools not inspected (local package is not executed); not countedn/a
- Auth qualitylocal package, no credentials required12/15
- Maintenancelast push 103 days ago8/15
- Maintainer identityregistry namespace matches repository owner6/10
Findings (1)
- mediumsubprocess with shell=True
exec.shell-truegpt_image_2_polza_mcp_server-0.6.2/pyproject.toml: … "S603", # subprocess call without shell=True "S607", # starting subprocess with…
How Gpt Image 2 Polza compares
Against every graded Media MCP server, from our own scans and uptime checks. Updated after each scan run.
- Safety score
- 71/100
- higher than 38% of 1,337 Media servers
- Tools
- 5
- the typical Media server has 7
- Tools that change things
- 20%
- typical: 5%. Fewer write tools means less an agent can break
What its tools let an agent do: 3 read · 2 create
Install Gpt Image 2 Polza in Claude Code, Cursor or VS Code
claude mcp add gpt-image-2-polza-mcp-server -- uvx gpt-image-2-polza-mcp-server
What the publisher says
From the Gpt Image 2 Polza repository's README, as published. We do not edit it. Read it on GitHub
GPT Image 2 Polza MCP Server
mcp-name: io.github.ivanantigravity-lgtm/gpt-image-2-polza-mcp-server
MCP-сервер для генерации и редактирования изображений моделью GPT Image 2 через API-провайдера Polza.
- Провайдер: Polza
- Model ID: openai/gpt-5.4-image-2
- Model tier: gpt-image-2
- Поддержка генерации, редактирования и референсных изображений
- Сохранение полноразмерных файлов на диск
- Возврат превью и структурированных метаданных через MCP
Для работы нужен только POLZAAIAPI_KEY. Отдельный ключ OpenAI не требуется.
Инструменты MCP
- generate_image — создаёт или редактирует изображения с помощью GPT Image 2.
- fetchgeneration — получает результат уже запущенной генерации по gen... ID.
- upload_file — загружает референс в Polza Storage.
- showoutputstats — показывает статистику локальной папки с результатами.
- maintenance — обслуживает локальный кэш и базу метаданных.
Требования
- Python 3.11+
- uv
- Аккаунт Polza и POLZAAIAPI_KEY
- Любой MCP-клиент: Claude Code, Claude Desktop, Cursor, VS Code или другой
Быстрая установка
Клонируйте репозиторий:
git clone https://github.com/ivanantigravity-lgtm/gpt-image-2-polza-mcp.git
cd gpt-image-2-polza-mcp
uv syncСоздайте .mcp.json:
{
"mcpServers": {
"gpt-image-2-polza": {
"command": "uv",
"args": [
"run",
"gpt-image-2-polza-mcp-server"
],
"cwd": "/absolute/path/to/gpt-image-2-polza-mcp",
"env": {
"POLZA_AI_API_KEY": "your-polza-api-key",
"POLZA_BASE_URL": "https://polza.ai/api",
"IMAGE_OUTPUT_DIR": "/absolute/path/to/gpt-image-2-output"
}
}
}
}Перезапустите MCP-клиент после добавления конфигурации.
Использование
Обычная генерация:
Создай рекламный кадр флакона духов на чёрном камне,
кинематографический свет, формат 16:9, разрешение 4K.
Используй gpt-image-2.Основные параметры generate_image:
Восстановление после таймаута
Генерация может продолжаться на стороне Polza после таймаута MCP-клиента. Не запускайте тот же запрос повторно сразу: это может создать и оплатить ещё одну генерацию.
Получите gen_... ID в истории генераций Polza и вызовите:
fetch_generation(
media_id="gen_2158267363095220225",
output_path="/absolute/path/to/result.png"
)Переменные окружения
Локальный запуск
cp .env.example .env
uv sync
uv run gpt-image-2-polza-mcp-serverМинимальный .env:
Shortened. The full README is on GitHub.
Nothing above is checked by us. What we check is on the safety report.
Gpt Image 2 Polza: common questions
- Is Gpt Image 2 Polza MCP server safe?
- Mostly: it is graded B (71/100). Read the Gpt Image 2 Polza safety report
- How do I install Gpt Image 2 Polza?
- It runs on your machine. Copy the Claude Code, Cursor, VS Code or Claude Desktop config from the install section.
- Does Gpt Image 2 Polza need an API key?
- Not as far as the registry entry and our scan can tell: no credentials are declared or required.
- Is Gpt Image 2 Polza maintained?
- The last commit was 140 days ago (2026-06-15). The latest release is v0.6.2.
- What can I use instead of Gpt Image 2 Polza?
- Servers from other publishers that do the same job: Transloadit Media Processing MCP server, SuperCMO MCP server and Rendobar MCP server.
- How does Gpt Image 2 Polza compare with other Media MCP servers?
- safety score 71/100 (higher than 38% of 1,337 Media servers); tools 5 (the typical Media server has 7); tools that change things 20% (typical: 5%. Fewer write tools means less an agent can break). Full comparison.
Alternatives to Gpt Image 2 Polza
Same job from other publishers: the closest match first, then the best rated.
Transloadit Media ProcessingProcess video, audio, images and documents with Transloadit Robots. Connect by URL with OAuth.not reviewedEstablishedA- SuperCMOMarketing media generation — image, video, voice — for AI agents. BYO keys.not reviewedEstablishedB
RendobarTransform video, audio and images, and generate media from prompts. FFmpeg, captions, models.not reviewedGrowingA- Remove AI WatermarksIdentify and remove AI watermarks and provenance metadata from your own images and video.not reviewedWidely usedA
- three.ws VisionImage understanding for AI agents — analyze and describe any image via the three.ws pipeline.not reviewedEstablishedA