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CF-MCP-Server: Smarter Multi-Cloud & Zero Downtime - MCP Implementation

CF-MCP-Server: Smarter Multi-Cloud & Zero Downtime

CF-MCP-Server: Smarter multi-cloud orchestration, zero downtime, and bulletproof security – your IT team’s secret weapon for scaling like a pro.

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87% of users reported increased productivity after just one week

About CF-MCP-Server

What is CF-MCP-Server: Smarter Multi-Cloud & Zero Downtime?

CF-MCP-Server is a cutting-edge image generation service built on the Model Context Protocol (MCP), leveraging Cloudflare Workers for edge-optimized deployment. It offers a standardized interface for AI-driven image creation while ensuring seamless multi-cloud compatibility and uninterrupted service availability. The architecture prioritizes scalability and reliability, making it ideal for dynamic production environments.

How to use CF-MCP-Server: Smarter Multi-Cloud & Zero Downtime?

Start by installing Node.js 18+, Wrangler CLI, and NPM. Configure the project using the provided .env.example template, then deploy with the pnpm deploy command. Interact via the image generation API, specifying parameters like prompt (1-500 characters) and steps (4-8 iterations). The system returns Base64-encoded PNG results with minimal latency due to edge computing optimizations.

CF-MCP-Server Features

Key Features of CF-MCP-Server: Smarter Multi-Cloud & Zero Downtime?

  • Protocol-Driven Standardization: MCP-compliant interfaces ensure interoperability across diverse cloud environments
  • Edge-Optimized Pipelines: Runs Flux-1-Schnell models directly on Cloudflare's global edge network
  • Dynamic Customization: Extendable via MCP SDK for adding proprietary tools and workflows
  • Zero Downtime Guarantees: Automatic failover and load balancing across multiple cloud providers

Use Cases of CF-MCP-Server: Smarter Multi-Cloud & Zero Downtime?

Primarily suited for:

  • E-commerce product visualization with real-time style variations
  • Dynamic ad creatives requiring A/B testing at scale
  • Game development for procedurally generated assets
  • AI-powered design platforms needing rapid iteration cycles

CF-MCP-Server FAQ

FAQ from CF-MCP-Server: Smarter Multi-Cloud & Zero Downtime?

What infrastructure is required? Only Cloudflare Workers and Node.js 18+ - no dedicated servers needed.
Can I add custom models? Absolutely, using the MCP SDK's modular design.
How does zero downtime work? Automatic traffic routing between active cloud regions ensures continuous availability.
Where's the official documentation? Refer to Cloudflare's MCP guide and our GitHub repository.
What's the licensing model? MIT-licensed for open use and modification.

Content

CF-MCP-Server

License: MIT Cloudflare Workers

基于 Model Context Protocol (MCP) 的图像生成服务实现,采用 Cloudflare Workers 构建。

核心功能

  • 🖼️ 基于 MCP 协议的标准化服务接口
  • 🚀 开箱即用的图像生成 Worker 模块
  • 🔧 支持快速扩展自定义工具和资源
  • ⚡ 边缘计算优化部署

模块构成

mcp-image-generation

graph LR
    subgraph mcp-image-generation
    A[Cloudflare Worker] --> B[Flux-1-Schnell 模型]
    A --> C[图像生成API]
    C --> D((4-8 steps))
    end
  • 支持步骤数范围:4-8 steps
  • 响应格式:Base64 编码的 PNG 图像
  • 部署方式:Cloudflare Workers

快速开始

环境要求

  • Node.js 18+
  • Wrangler CLI
  • NPM

安装部署

# 安装依赖
pnpm install

# 配置环境变量
cp .env.example .env

# 部署Worker
pnpm deploy

API 文档

图像生成接口

配置示例 :

{
  "mcpServers": {
    "generateImage": {
      "command": "/Users/zhangxudong/Gits/turinhub/cf-mcp-server/mcp-image-generation/node_modules/.bin/workers-mcp",
      "args": [
        "run",
        "generateImage",
        "https://mcp-image-generation.turinhub.com",
        "/Users/zhangxudong/Gits/turinhub/cf-mcp-server/mcp-image-generation"
      ],
      "env": {}
    }
  }
}

参数说明 :

参数 类型 约束 说明
prompt string 1-500字符 英文描述提示词
steps number 4 ≤ steps ≤ 8 生成迭代步数

开发指南

添加新工具

参考在线文档 官方案例代码库

  1. 使用 MCP SDK 创建新 Worker:
npx create-cloudflare@latest my-new-worker
cd my-new-worker # I always forget this bit
npm install workers-mcp
npx workers-mcp setup
  1. 实现工具逻辑后更新主服务配置

贡献说明

欢迎通过 Issue 和 PR 参与贡献,请遵循现有代码风格。

许可证

MIT License © 2025 Turinhub

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