How do I get the Jimeng API token?
Visit jimeng.jianying.com, log in, open developer tools (F12), find the `sessionid` in Application > Cookies, and set it as the JIMENG_API_TOKEN in server.py.
@fengin
Basic information
一个能与Cursor集成的图片生成mcp server工具,实现调用即梦逆向接口
Add this server to your MCP-compatible client using the configuration below.
{
"mcpServers": {
"image-gen-server": {
"command": "npx",
"args": [
"-y",
"@smithery/cli",
"install",
"@fengin/image-gen-server",
"--client",
"claude"
]
}
}
}Tool list not available yet
This listing does not currently have a tool list to display. This does not mean the server has no tools; check its documentation for supported capabilities.
Fetch the live tool list by running this server in a temporary sandbox using the button above.
Image-Gen-Server is an image generation service based on Jimeng AI (Jianying), designed for integration with Cursor IDE. It receives text descriptions from Cursor, generates images, and provides download and save functionality.
Install dependencies (Python 3.10+, Node.js v20, uv), clone the repository, configure JIMENG_API_TOKEN and IMG_SAVA_FOLDER in server.py, then add a new MCP server in Cursor settings with the command uv run --with fastmcp fastmcp run <path>/server.py. In Cursor agent mode, ask it to learn the image tool and then request image generation with your prompt and save location.
Visit jimeng.jianying.com, log in, open developer tools (F12), find the `sessionid` in Application > Cookies, and set it as the JIMENG_API_TOKEN in server.py.
The server failed to start. Common causes include an incorrect server.py path (containing Chinese characters or wrong slashes), missing dependencies, or using the wrong terminal environment (try cmd, PowerShell, or WSL on Windows).
Change `run` to `dev` in the command to start in development mode, or run `fastmcp dev <path>/server.py` in a terminal then open the provided debug URL (http://localhost:5173/) in a browser for MCP Inspector debugging.
It accepts prompt (text description), file_name (output filename), save_folder (optional custom path), sample_strength (0-1, default 0.5), width and height (default 1024 each).
Python 3.10+, npm, Node.js (v20 verified), the uv package manager, and the packages listed in requirements.txt. FastMCP is used to implement the MCP server.

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Official LinkedIn, Slack and GitHub profile photo specs with sources, headshot style guides by use and industry, and a free 0-100 headshot audit. No API key needed.
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