CF-MCP-Server
@turinhub
CF-MCP-Server について
概要はまだありません
基本情報
設定
以下の設定を使って、このサーバーを MCP 対応クライアントに追加してください。
{
"mcpServers": {
"cf-mcp-server-turinhub": {
"command": "npx",
"args": [
"create-cloudflare@latest",
"my-new-worker"
]
}
}
}ツール
ツールは検出されませんでした
ツールは README から自動的に抽出されます。メンテナーは ## Tools という見出しの下に記載することで、このタブに反映できます。
概要
What is CF-MCP-Server?
CF-MCP-Server is an image generation service built on the Model Context Protocol (MCP) and deployed on Cloudflare Workers. It provides a standardized interface for AI-driven image creation using the Flux-1-Schnell model, targeting developers who need serverless edge image generation.
How to use CF-MCP-Server?
Install dependencies with pnpm install, copy .env.example to .env, and deploy with pnpm deploy. Configure the MCP client by adding a generateImage entry in mcpServers settings using the workers-mcp command with the Worker URL and project path.
Key features of CF-MCP-Server
- MCP-compliant standardized service interface
- Out-of-the-box image generation Worker module
- Extensible with custom tools and resources
- Edge-optimized deployment via Cloudflare Workers
Use cases of CF-MCP-Server
- Generate images from English text prompts at the edge
- Integrate image generation into existing MCP-based toolchains
- Deploy low-latency image APIs with minimal infrastructure management
FAQ from CF-MCP-Server
What prompts does CF-MCP-Server accept?
Prompts must be in English and between 1 and 500 characters.
What are the iteration steps and response format?
Iteration steps range from 4 to 8. The response is a Base64-encoded PNG image.
What are the runtime requirements?
Node.js 18+, Wrangler CLI, and NPM are required.
Where does the image generation run?
All processing runs on Cloudflare Workers at the edge; generated images are returned as Base64 data.
Does CF-MCP-Server support Chinese prompts?
No. The documentation explicitly requires English description prompts.
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