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by c-rick • Media & Multimedia
A TypeScript MCP server that integrates with the Jimeng AI image and video generation APIs to let agents (e.g., Claude Desktop) generate images and videos via the MCP protocol.
Generate high-quality images from text prompts using multiple Jimeng models and receive direct URLs for display.
Produce videos (with optional first/last frame images) using Jimeng video models and obtain playable video URLs.
Perform image-mixing or reference-based generation by providing local or remote images as inputs and automatically uploading them to Jimeng.
This project implements a Model Context Protocol (MCP) server in TypeScript that directly calls Jimeng AI's image and video generation APIs (via reverse-engineered endpoints). It supports multiple Jimeng models, image mixing/reference generation (local or remote images), video generation with optional first/last frame customization, and various image/video parameters. The server can run as a stdio MCP for agents like Claude Desktop or as an HTTP API service, and automates uploading and handling of reference images.
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