Tongyi Wanxiang
A TypeScript-based Model Context Protocol server that enables large language models to directly invoke Alibaba Cloud's Tongyi Wanxiang text-to-image generation API.
What is Tongyi Wanxiang?
Tongyi Wanxiang is a Model Context Protocol (MCP) server that allows AI assistants like Claude, Cursor, and VS Code to typescript-based model context protocol server that enables large language models to directly invoke alibaba cloud's tongyi wanxiang text-to-image generation api.
A TypeScript-based Model Context Protocol server that enables large language models to directly invoke Alibaba Cloud's Tongyi Wanxiang text-to-image generation API.
This server falls under the Data Science & ML category on MCPgee, the world's largest MCP server directory with 33,000+ servers.
Features
- A TypeScript-based Model Context Protocol server that enable
Use Cases
Maintainer
Works with
Installation
Manual Installation
npx tongyi-wanxiang-mcp-serverConfiguration
Configuration Details
claude_desktop_config.json
Performance
Response Metrics
Resource Usage
Frequently Asked Questions about Tongyi Wanxiang
What is Tongyi Wanxiang?
Tongyi Wanxiang is a Model Context Protocol (MCP) server that typescript-based model context protocol server that enables large language models to directly invoke alibaba cloud's tongyi wanxiang text-to-image generation api. It connects AI assistants to external tools and data sources through a standardized interface.
How do I install Tongyi Wanxiang?
Follow the installation instructions on the Tongyi Wanxiang GitHub repository. Clone the repo, install dependencies, and add the server config to your AI client.
Which AI clients work with Tongyi Wanxiang?
Tongyi Wanxiang works with all major MCP-compatible AI clients including Claude Desktop, Claude Code, Cursor, VS Code (GitHub Copilot), Windsurf, and Cline.
Is Tongyi Wanxiang free to use?
Yes, Tongyi Wanxiang is open source and available under the MIT License license. You can use it freely in both personal and commercial projects.
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Set Up Tongyi Wanxiang in Your Editor
Choose your AI client for step-by-step setup instructions.
Quick Config Preview
Add this to your claude_desktop_config.json or .cursor/mcp.json
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