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jimeng_mcp_skill

Generate images and videos from text and existing media via Jimeng MCP server.

259|51|Updated Nov 12, 2025
Search Tags:#workflow#MCP#multimodal#AI#image-generation#video-generation
One-click install
npx skills add https://github.com/wwwzhouhui/skills_collection --skill jimeng-mcp-skill
Or copy as Structured Prompt for Agent▼
Please help me install this Agent Skill.
Skill: jimeng_mcp_skill
Source: https://github.com/wwwzhouhui/skills_collection/tree/main/jimeng_mcp_skill
Command: npx skills add https://github.com/wwwzhouhui/skills_collection --skill jimeng-mcp-skill

SYSTEM DOCUMENTATION & REQUIREMENTS

💡 This Skill includes scripts (resource) and references (resource) and assets (resource) components.

What problem does it solve?

This Skill enables seamless AI-driven image and video generation via the Jimeng MCP server, reducing the manual effort required to create visuals from natural language and existing media.

Core Features & Use Cases

  • Text-to-image generation: Generate high-quality images from natural language prompts.
  • Image composition: Seamlessly merge multiple images into a single composition.
  • Text-to-video: Create short, expressive videos from prompts.
  • Image-to-video: Animate static images with motion for cinematic effects.
  • Use cases include content creation, marketing visuals, education materials, and social media campaigns.
  • Note: requires jimeng-mcp-server to be running locally or accessible via SSE/HTTP.

Quick Start

Ensure jimeng-mcp-server is running (local or remote) and configure the JIMENG_API_KEY in your environment. If needed, set JIMENG_API_URL to point to your backend, then load this skill in Claude Code and activate the four core capabilities as required.

Frequently Asked Questions about jimeng_mcp_skill

High-intent search queries and answers about installing and using this skill.

FAQPage Schema
How do I generate images and videos from text using an MCP server?▼

AI-driven image and video generation via an MCP server is achieved by sending natural language prompts to the jimeng-mcp-server. This process supports text-to-image, image composition, and text-to-video workflows for creating visual content.

What do I need to set up before using MCP for multimodal AI generation?▼

Before using MCP for multimodal AI generation, you need a running jimeng-mcp-server accessible locally or remotely via SSE/HTTP. You must also configure a valid JIMENG_API_KEY in your environment and optionally set JIMENG_API_URL.

Can I animate static images into videos with this multimodal AI workflow?▼

Yes, you can animate static images into videos using the image-to-video capability. This feature adds motion to static images, creating cinematic effects directly through the jimeng-mcp-server workflow.

Does image composition with MCP support merging multiple images into one?▼

Image composition with MCP supports seamlessly merging multiple images into a single composition. This allows you to combine existing media assets into unified visual content using natural language commands.

What are the limitations of using a remote SSE/HTTP connection for video generation?▼

Using a remote SSE/HTTP connection for video generation requires stable network access to the jimeng-mcp-server backend. You must ensure the JIMENG_API_URL is correctly configured and the remote server remains reachable during the generation process.

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