EdgeOne MCP Server

Example Use Cases

• 1

  Route model requests and tool calls through a Streamable HTTP MCP server deployed at the edge for low latency and scalability.

• 2

  Manage model context, streaming responses, and orchestrate multi-step workflows using MCP-compatible clients and backends.

• 3

  An OpenAI-format compatible API and a browser-accessible chat interface integrated with serverless edge functions for rapid deployment.

Description

This repository implements a complete Model Context Protocol (MCP) workflow using EdgeOne Pages Functions, including an MCP streamable HTTP server, an MCP client, and an OpenAI-format compatible backend API. It provides a Next.js/React frontend chat interface that communicates with backend functions to enable streaming, context management, and tool orchestration at the edge. The project is designed for easy local development and one-click deployment to EdgeOne Pages, enabling low-latency, scalable MCP-hosted services.