Ghibli Image Generator MCP Server
Click on "Deploy Server".
Wait a few minutes for the server to deploy. Once ready, it will show a "Started" state.
In the chat, type
@followed by the MCP server name and your instructions, e.g., "@Ghibli Image Generator MCP Server Create a Ghibli-style image of a girl reading in a cozy library"
That's it! The server will respond to your query, and you can continue using it as needed.
Here is a step-by-step guide with screenshots.
Ghibli Image Generator Api Open Ai 4O Image Generation Free MCP Server
用于访问 Ghibli Image Generator Api Open Ai 4O Image Generation Free API 的 MCP 服务器。
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🎯 进入 MCP 广场,浏览所有可用的 MCP 服务器
🔍 搜索或找到本服务器(
bach-ghibli_image_generator_api_open_ai_4o_image_generation_free)🎉 点击 "安装 MCP" 按钮
✅ 完成!即可在您的应用中使用
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Related MCP server: MCP OpenAI Image Generation Server
简介
这是一个 MCP 服务器,用于访问 Ghibli Image Generator Api Open Ai 4O Image Generation Free API。
PyPI 包名:
bach-ghibli_image_generator_api_open_ai_4o_image_generation_free版本: 1.0.0
传输协议: stdio
安装
从 PyPI 安装:
pip install bach-ghibli_image_generator_api_open_ai_4o_image_generation_free从源码安装:
pip install -e .运行
方式 1: 使用 uvx(推荐,无需安装)
# 运行(uvx 会自动安装并运行)
uvx --from bach-ghibli_image_generator_api_open_ai_4o_image_generation_free bach_ghibli_image_generator_api_open_ai_4o_image_generation_free
# 或指定版本
uvx --from bach-ghibli_image_generator_api_open_ai_4o_image_generation_free@latest bach_ghibli_image_generator_api_open_ai_4o_image_generation_free方式 2: 直接运行(开发模式)
python server.py方式 3: 安装后作为命令运行
# 安装
pip install bach-ghibli_image_generator_api_open_ai_4o_image_generation_free
# 运行(命令名使用下划线)
bach_ghibli_image_generator_api_open_ai_4o_image_generation_free配置
API 认证
此 API 需要认证。请设置环境变量:
export API_KEY="your_api_key_here"环境变量
变量名 | 说明 | 必需 |
| API 密钥 | 是 |
| 不适用 | 否 |
| 不适用 | 否 |
在 Cursor 中使用
编辑 Cursor MCP 配置文件 ~/.cursor/mcp.json:
{
"mcpServers": {
"bach-ghibli_image_generator_api_open_ai_4o_image_generation_free": {
"command": "uvx",
"args": ["--from", "bach-ghibli_image_generator_api_open_ai_4o_image_generation_free", "bach_ghibli_image_generator_api_open_ai_4o_image_generation_free"],
"env": {
"API_KEY": "your_api_key_here"
}
}
}
}在 Claude Desktop 中使用
编辑 Claude Desktop 配置文件 claude_desktop_config.json:
{
"mcpServers": {
"bach-ghibli_image_generator_api_open_ai_4o_image_generation_free": {
"command": "uvx",
"args": ["--from", "bach-ghibli_image_generator_api_open_ai_4o_image_generation_free", "bach_ghibli_image_generator_api_open_ai_4o_image_generation_free"],
"env": {
"API_KEY": "your_api_key_here"
}
}
}
}可用工具
此服务器提供以下工具:
ghibli_generate_image
Ghibli generate
端点: POST /generateghibliimage.php
example_response
example response
端点: POST /ghibliresponse.php
技术栈
传输协议: stdio
HTTP 客户端: httpx
许可证
MIT License - 详见 LICENSE 文件。
开发
此服务器由 API-to-MCP 工具生成。
版本: 1.0.0
Available Tools
2 toolsexample_responseD
example response
Inputs: no named parameters.
ghibli_generate_imageD
Ghibli generate
Inputs: no named parameters.
Tool Schema Changelog
Recent tool additions, removals, and schema changes observed during successful MCP inspections.
Loading tool schema changelog…
TDQS
Scored across 2 tools
The two tools have clearly distinct purposes: 'example_response' appears to provide sample outputs or documentation, while 'ghibli_generate_image' performs the core image generation function. There is no overlap or ambiguity between these tools.
The naming is inconsistent: 'example_response' uses snake_case but lacks a clear verb-action pattern, while 'ghibli_generate_image' uses snake_case with a more descriptive verb-noun structure. This mixed approach reduces predictability.
With only 2 tools, this server feels under-scoped for an image generator domain. A typical image generation service would include tools for configuration, style control, or batch operations, making this count insufficient for robust functionality.
The toolset is severely incomplete for an image generator: it lacks essential operations like parameter adjustment, style selection, image editing, or retrieval of generated images. The 'example_response' tool does not contribute to core functionality, leaving major gaps.
Maintenance
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