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EdgeOne Pages: MCP Client and Server Implementation with Functio…

@amylixing

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amylixing

关于 EdgeOne Pages: MCP Client and Server Implementation with Functions

MCP Client and Server Implementation with Functions

#mcp#edgeone#chat-application

EdgeOne Pages: MCP Client and Server Implementation with Functions 配置

使用下面的配置,将此服务器添加到你的 MCP 客户端。

{
  "mcpServers": {
    "edgeone-pages-mcp-server": {
      "url": "https://mcp-on-edge.edgeone.site/mcp-server"
    }
  }
}

EdgeOne Pages: MCP Client and Server Implementation with Functions 工具

1

Deploy HTML content to EdgeOne Pages, return the public URL

概览

What is EdgeOne Pages: MCP Client and Server Implementation with Functions?

EdgeOne Pages: MCP Client and Server Implementation with Functions is an intelligent chat application built on EdgeOne Pages serverless Functions. It implements a complete Model Context Protocol (MCP) workflow with a Streamable HTTP MCP server and client, enabling browser-based tool interactions like "generating online webpages with a single prompt."

How to use EdgeOne Pages: MCP Client and Server Implementation with Functions?

Deploy via the provided EdgeOne Pages template button or set up locally by cloning the repository, installing dependencies (npm install), configuring a .env file with AI service credentials, and running npm run dev. For remote MCP access, configure your MCP client to point to https://mcp-on-edge.edgeone.site/mcp-server.

Key features of EdgeOne Pages: MCP Client and Server Implementation with Functions

  • Interactive chat interface built with Next.js and React
  • High‑performance edge functions on EdgeOne Pages
  • Complete MCP implementation (Streamable HTTP) per latest specification
  • OpenAI‑format compatible backend API
  • Deployable with a single click via EdgeOne Pages template

Use cases of EdgeOne Pages: MCP Client and Server Implementation with Functions

  • Generating complete webpages from natural language prompts in the browser
  • Building intelligent chat applications that leverage MCP tool calling
  • Prototyping MCP server‑client workflows on edge infrastructure
  • Integrating AI assistants with real‑time context management at the edge

常见问题

1

What runtime or platform does it require?

It runs on EdgeOne Pages Functions and can be developed locally with Node.js, using EdgeOne’s serverless environment for production.

2

How is data handled and where does it live?

The README does not specify data location; user‑provided AI service credentials are configured via environment variables in the `.env` file.

3

Does it support the latest MCP specification?

Yes, it implements the Streamable HTTP MCP protocol based on the 2025‑03‑26 version of the specification.

4

Can I use it with any MCP‑compatible client?

Yes, the server is designed to work with any client that supports Streamable HTTP MCP servers, as shown by the JSON configuration example.

5

What transport protocol does the MCP server use?

The server uses Streamable HTTP transport, as specified in the project’s Streamable HTTP MCP Server section.

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