EdgeOne Pages MCP
Visit ProjectDeploy HTML content to EdgeOne Pages and obtain a public URL.
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What is EdgeOne Pages MCP?
EdgeOne Pages MCP is a service for rapidly deploying HTML content, folders, or zip files to EdgeOne Pages and obtaining a public URL with edge delivery capabilities.
How to use EdgeOne Pages MCP?
- Configure EdgeOne Pages API token (optional for existing projects)
- Deploy content via either:
- stdio MCP Server (for most applications)
- Streamable HTTP MCP Server (for supported applications)
- The service will return a publicly accessible URL for your content
Key features of EdgeOne Pages MCP
- Instant deployment of HTML content to EdgeOne's global network
- Automatic generation of public URLs
- Edge caching via KV Store for fast global access
- Supports both new project creation and existing project updates
Use cases of EdgeOne Pages MCP
- Instantly deploying landing pages with AI-generated HTML content
- Serving single-page applications with minimal latency globally
- Creating temporary or ephemeral content endpoints
- Developing and testing edge-optimized web content
FAQ from EdgeOne Pages MCP
-
Q: What is the minimum Node.js version required? A: Node.js 18 or higher.
-
Q: Do I need an API token for deployment? A: No, for new projects; only required when updating existing projects.
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Q: How long does deployment take? A: Deployment is nearly instantaneous with global edge propagation.
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Q: What content types are supported? A: HTML content, folders, and zip files.
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Q: Where is the content hosted? A: Content is served from EdgeOne's edge network with KV Store caching.
EdgeOne Pages MCP
An MCP service for deploying HTML content, folder, and zip file to EdgeOne Pages and obtaining a publicly accessible URL.
Demo
Deploy HTML
Deploy Folder
Requirements
- Node.js 18 or higher
Configure MCP
stdio MCP Server
Suitable for most MCP applications
{
"mcpServers": {
"edgeone-pages-mcp-server": {
"command": "npx",
"args": ["edgeone-pages-mcp"],
"env": {
// Optional. If deploying a folder or zip file to an EdgeOne Pages project
// provide your EdgeOne Pages API token.
// How to obtain your API token: https://edgeone.ai/document/177158578324279296
"EDGEONE_PAGES_API_TOKEN": "",
// Optional. Leave empty to create a new EdgeOne Pages project.
// Provide a project name to update an existing project.
"EDGEONE_PAGES_PROJECT_NAME": ""
}
}
}
}
Streamable HTTP MCP Server
Available in applications supporting Streamable HTTP MCP Server
{
"mcpServers": {
"edgeone-pages-mcp-server": {
"url": "https://mcp-on-edge.edgeone.site/mcp-server"
}
}
}
Architecture
The architecture diagram illustrates the workflow:
- Large Language Model generates HTML content
- Content is sent to the EdgeOne Pages MCP Server
- MCP Server deploys the content to EdgeOne Pages Edge Functions
- Content is stored in EdgeOne KV Store for fast edge access
- MCP Server returns a public URL
- Users can access the deployed content via browser with fast edge delivery
Features
- MCP protocol for rapid deployment of HTML content to EdgeOne Pages
- Automatic generation of publicly accessible URLs
Implementation
This MCP service integrates with EdgeOne Pages Functions to deploy static HTML content. The implementation uses:
-
EdgeOne Pages Functions - A serverless computing platform that allows execution of JavaScript/TypeScript code at the edge.
-
Key Implementation Details :
- Uses EdgeOne Pages KV store to store and serve the HTML content
- Automatically generates a public URL for each deployment
- Handles API errors with appropriate error messages
-
How it works :
- The MCP server accepts HTML content through the
deploy_html
tool - It connects to EdgeOne Pages API to get the base URL
- Deploys the HTML content using the EdgeOne Pages KV API
- Returns a publicly accessible URL to the deployed content
- The MCP server accepts HTML content through the
-
Usage Example :
- Provide HTML content to the MCP service
- Receive a public URL that can be accessed immediately
For more information, see the EdgeOne Pages Functions documentation and EdgeOne Pages KV Storage Guide.
License
MIT