jimeng

The jimeng MCP server is designed to integrate seamlessly with AI applications like Claude and Cherry Studio, enabling direct utilization of 即梦's AI generation capabilities. With features such as text-to-image generation, image synthesis, and video generation, developers can enhance their projects with advanced AI functionalities. This server is particularly useful for AI creators and developers seeking to implement the Model Context Protocol (MCP) efficiently.

Once connected to the jimeng MCP server, you can interact with it through three supported modes: stdio for Claude Desktop, SSE for web applications, and an HTTP REST API for cross-platform use. You can issue commands to generate text, images, or videos based on your input prompts. To get the best results, ensure your queries are clear and concise, particularly when requesting multimedia outputs such as video or image synthesis tasks.

To install the jimeng MCP server, you need to ensure that you have Python 3.10 or higher and Docker installed on your machine.

Quick Start with Docker:
You can quickly deploy the server using Docker with the following command:

docker run -p 8080:8080 wwwzhouhui/jimeng-mcp-server

Global Install Alternative:
If a package were available via npm, you would typically install it globally using:

npm install -g @package/name

However, since no NPM package is specified for jimeng, using Docker is the recommended approach.

For optimal performance, configure the SessionID in your environment variables before starting the server. Remember that you are granted 66 free points daily for usage, so track your consumption if you're running multiple tasks. Additionally, be mindful of the asynchronous polling mechanism, which is designed to handle long-running tasks efficiently to prevent timeouts.