What tools does @demoway/mcp-server provide?
It provides two tools: `search_demo_step` (search steps by keyword) and `download_demo_step_pretty_html` (download a demo step's pretty HTML).
@DemoWayOfficial
Basic information
Demoway MCP standalone service
Add this server to your MCP-compatible client using the configuration below.
{
"mcpServers": {
"demoway": {
"command": "npx",
"args": [
"-y",
"@demoway/mcp-server@latest"
],
"env": {
"DEMOWAY_API_KEY": "<YOUR_API_KEY>"
}
}
}
}Use this tool to get one step from a specific demo which is matched by keyword, match means step content contains or has similar semantic. This tool returns the matched step info in JSON format.
Use this tool to download the corresponding pretty HTML files of pages from https://app.demoway.com/demo/:demoId, https://app.demoway.cn/demo/:demoId to local. This tool returns the downloaded steps list data in JSON format that you can then parse and analyze, each item include follow fields: - "index": Identify the step order in the demo flow. - "stepId": Step unique id in demo flow. - "status": Status of server processing the current step, values includes "NOT_STARTED", "PENDING", "SUCCESS", "ERROR". - "file": local file absolute path of the downloaded current step pretty html file. If neither "stepIds" nor "indexes" are present in the parameters, it means downloading all steps.
When a user requests to download or modify a page from a specific URL, and the URL's domain is not app.demoway.cn or app.demoway.com, use this tool to prompt the user to first use the DemoWay browser extension to capture the page.
Use this tool when users request to import common front-end files (like html, astro, vue, react) to design tools like: Figma, MasterGo, or Pixso, If the user doesn't specify a design tool, ask he first.
@demoway/mcp-server is a Model Context Protocol (MCP) server implementation that provides standardized MCP interface services for DemoWay. It allows AI agents to search and download demo steps via two tools. The server is intended for developers integrating DemoWay content into AI workflows.
Install and configure the server in your MCP client using npm (npx -y @demoway/mcp-server@latest) with a DEMOWAY_API_KEY environment variable and an optional --region flag (world or china). For local development, use tsx to run the source index file with a local server URL.
search_demo_stepdownload_demo_step_pretty_htmlIt provides two tools: `search_demo_step` (search steps by keyword) and `download_demo_step_pretty_html` (download a demo step's pretty HTML).
Use the JSON configuration in your MCP client with `command: "npx"`, `args: ["-y", "@demoway/mcp-server@latest", "--region={world,china}"]`, and set `DEMOWAY_API_KEY` in the `env` field.
It runs via Node.js with the `npx` command (or `tsx` for local development). No additional global dependencies are needed for production use.
The server accesses DemoWay's API using the provided `DEMOWAY_API_KEY`. No local data is used; all data comes from DemoWay's cloud service.
The `--region` flag accepts `world` or `china` to specify which DemoWay instance to use. This is set in the server arguments.
This open-source curriculum introduces the fundamentals of Model Context Protocol (MCP) through real-world, cross-language examples in .NET, Java, TypeScript, JavaScript, Rust and Python. Designed for developers, it focuses on practical techniques for building modular, scalable,

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