Imagen3-MCP
@hamflx
关于 Imagen3-MCP
暂无概览
基本信息
配置
工具
未检测到工具
工具是从 README 中自动提取的。维护者可以在 ## Tools 标题下列出工具,即可填充这部分内容。
概览
What is Imagen3-MCP?
Imagen3-MCP is an image generation tool based on Google’s Imagen 3.0 model that provides services through the MCP (Model Context Protocol) for developers and users of MCP-compatible clients like Cherry Studio or Cursor.
How to use Imagen3-MCP?
Download the latest executable from GitHub Releases, place it on your system, and configure an MCP client to run it with a valid GEMINI_API_KEY environment variable. Optional environment variables allow setting a proxy via BASE_URL, configuring the server listen address and port, and customizing the image URL server address.
Key features of Imagen3-MCP
- Uses Google Imagen 3.0 for image generation
- Integrates with MCP-compatible clients (Cherry Studio, Cursor)
- Requires a valid Google Gemini API key
- Supports an optional proxy via the
BASE_URLenvironment variable - Configurable server listen address, port, and image URL address
Use cases of Imagen3-MCP
- Generate photorealistic animal images from detailed text prompts
- Create concept product visuals with specific styles
- Integrate AI image generation into MCP-based development workflows
FAQ from Imagen3-MCP
What is required to use Imagen3-MCP?
A valid Google Gemini API key is required.
How do I install Imagen3-MCP?
Download the latest executable from the GitHub Releases page, place it in a known location, and configure your MCP client to run it with the GEMINI_API_KEY environment variable set.
Can I use a proxy for the Gemini API?
Yes, set the optional BASE_URL environment variable to your proxy address. Note that this can help with network restrictions like the GFW but may not bypass Google’s IP limitations.
Can I change the server port or listen address?
Yes, use the optional SERVER_LISTEN_ADDR (default 127.0.0.1) and SERVER_PORT (default 9981) environment variables. The IMAGE_RESOURCE_SERVER_ADDR variable customizes the address used in image URLs.
What image quality does Imagen3-MCP produce?
The README examples show photorealistic quality, such as a running Jack Russell Terrier with sunlight through its fur and a high-tech
其他 分类下的更多 MCP 服务器
Blender
ahujasidOpen-source MCP to use Blender with any LLM
FastMCP v2 🚀
jlowin🚀 The fast, Pythonic way to build MCP servers and clients.
Codelf
unbugA search tool helps dev to solve the naming things problem.
Servers
modelcontextprotocolModel Context Protocol Servers
Awesome Mcp Servers
punkpeyeA collection of MCP servers.
评论