What are the prerequisites?
Node.js (LTS version) and npm are required. Verify installation with `node -v` and `npm -v`.
@dasheck0
Basic information
MCP server for generating human face images with various shapes and sizes
No standard config provided
This server doesn't expose a parseable MCP config block in its README. See the repository for install instructions.
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We auto-extract tools from the README. The maintainer can list them under a ## Tools heading to populate this section.
Face Generator MCP Server is a Model Context Protocol (MCP) server that generates realistic human face images on demand by fetching them from thispersondoesnotexist.com. It is designed for integration with MCP clients like the Cline VS Code extension, allowing those tools to create face images programmatically.
Clone the repository, run npm install and npm run build, then start the server with npm run start (standalone) or npm run dev (development/debug mode with Inspector). For Cline integration, add the server configuration to cline_mcp_settings.json pointing to build/index.js.
thispersondoesnotexist.com to generate realistic facesNode.js (LTS version) and npm are required. Verify installation with `node -v` and `npm -v`.
Add an entry to `cline_mcp_settings.json` with the command `node` and the argument `"C:/PATH_TO/mcp-face-generator/build/index.js"` (adjust the path). Restart VS Code and the server should appear in the MCP Servers panel.
`outputDir` (required), `fileName`, `count` (default 1), `width` (default 256), `height` (default 256), `shape` (square|circle|rounded, default square), `borderRadius` (default 32), and `returnImageContent` (boolean, default false).
Ensure you have an internet connection. Try deleting the `node_modules` folder and running `npm install` again. If behind a proxy, configure npm proxy settings.
Double‑check the path in `cline_mcp_settings.json`, make sure the server is running (`npm run start`), and restart VS Code.
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