Cloudflare Image MCP

Cloudflare Image MCP

An MCP server that allows AI models to generate images from text prompts and describe images using Cloudflare Workers AI models.

Category
访问服务器

README

opencode-cloudflare-image-mcp

An MCP (Model Context Protocol) server that gives any MCP-capable AI model (Claude Desktop, opencode, etc.) the ability to generate images from text prompts and describe images in text, using Cloudflare Workers AI models.

Features

  • generate_image — Generate images from text prompts using Cloudflare text-to-image models (FLUX.1 Schnell, SDXL, DreamShaper, and more).
  • describe_image — Generate text descriptions of images using Cloudflare image-to-text models (LLaVA, Moondream, uForm).
  • list_models — Discover all supported models with aliases and defaults.
  • Generated images are saved to disk; the file path is returned to the model.
  • Image-to-text supports both local file paths and HTTP(S) URLs as input.

Install via OpenCode Agent

Paste this to your opencode agent to install and configure:

Install the opencode-cloudflare-image-mcp MCP server globally, then add it to my opencode.json config at ~/.config/opencode/opencode.json as a local MCP server with:
- type: local
- command: ["node", "E:/Image-MCP/dist/index.js"] (or your install path)
- environment with CLOUDFLARE_ACCOUNT_ID and CLOUDFLARE_API_TOKEN

Or manually:

npm install -g opencode-cloudflare-image-mcp

Then add to ~/.config/opencode/opencode.json:

{
  "mcp": {
    "cloudflare-image": {
      "type": "local",
      "command": ["node", "E:/Image-MCP/dist/index.js"],
      "environment": {
        "CLOUDFLARE_ACCOUNT_ID": "your-account-id",
        "CLOUDFLARE_API_TOKEN": "your-api-token"
      },
      "enabled": true
    }
  }
}

Note: Use "environment" not "env" for the env vars in opencode config.

Install (Manual)

npm install -g opencode-cloudflare-image-mcp

Or use directly with npx:

npx opencode-cloudflare-image-mcp

Configuration

Environment Variables

Variable Required Default Purpose
CLOUDFLARE_ACCOUNT_ID yes — Cloudflare account ID
CLOUDFLARE_API_TOKEN yes — Bearer token for API auth
IMAGE_MCP_OUTPUT_DIR no ./generated-images Where generated PNG files are saved
IMAGE_MCP_DEFAULT_T2I_MODEL no @cf/black-forest-labs/flux-1-schnell Default text-to-image model
IMAGE_MCP_DEFAULT_I2T_MODEL no @cf/llava-hf/llava-1.5-7b-hf Default image-to-text model

Getting a Cloudflare API Token

  1. Go to the Cloudflare dashboard.
  2. Navigate to My Profile → API Tokens.
  3. Click Create Token.
  4. Use the Workers AI template, or create a custom token with Workers AI:Read permission.
  5. Copy the token and set it as CLOUDFLARE_API_TOKEN.

Your Cloudflare Account ID is visible on the dashboard overview page or any domain's overview page.

Client Configuration

Claude Desktop

Add to claude_desktop_config.json:

{
  "mcpServers": {
    "cloudflare-image": {
      "command": "npx",
      "args": ["-y", "opencode-cloudflare-image-mcp"],
      "env": {
        "CLOUDFLARE_ACCOUNT_ID": "your-account-id",
        "CLOUDFLARE_API_TOKEN": "your-api-token"
      }
    }
  }
}

opencode / Generic stdio

{
  "mcp": {
    "cloudflare-image": {
      "type": "local",
      "command": ["npx", "-y", "opencode-cloudflare-image-mcp"],
      "env": {
        "CLOUDFLARE_ACCOUNT_ID": "your-account-id",
        "CLOUDFLARE_API_TOKEN": "your-api-token"
      }
    }
  }
}

Usage

Once connected, the AI model can call these tools:

generate_image

Generate an image of a cyberpunk lizard in a neon-lit city

The model will call generate_image with the prompt. The image is saved to disk and the file path is returned.

describe_image

Describe the image at /path/to/image.png

Or with a URL:

What's in this image? https://example.com/photo.jpg

list_models

What image models are available?

Supported Models

Text-to-Image

Alias Model ID Default
flux-schnell @cf/black-forest-labs/flux-1-schnell yes
flux-2-klein-4b @cf/black-forest-labs/flux-2-klein-4b
sdxl-lightning @cf/bytedance/stable-diffusion-xl-lightning
dreamshaper @cf/lykon/dreamshaper-8-lcm
sdxl-base @cf/stabilityai/stable-diffusion-xl-base-1.0

Image-to-Text

Alias Model ID Default
llava @cf/llava-hf/llava-1.5-7b-hf yes
uform @cf/unum/uform-gen2-qwen-500m
moondream @cf/moondream/moondream3.1-9B-A2B

Development

pnpm install
pnpm test
pnpm build

License

MIT

推荐服务器

Baidu Map

Baidu Map

百度地图核心API现已全面兼容MCP协议,是国内首家兼容MCP协议的地图服务商。

官方
精选
JavaScript
Playwright MCP Server

Playwright MCP Server

一个模型上下文协议服务器,它使大型语言模型能够通过结构化的可访问性快照与网页进行交互,而无需视觉模型或屏幕截图。

官方
精选
TypeScript
Magic Component Platform (MCP)

Magic Component Platform (MCP)

一个由人工智能驱动的工具,可以从自然语言描述生成现代化的用户界面组件,并与流行的集成开发环境(IDE)集成,从而简化用户界面开发流程。

官方
精选
本地
TypeScript
Audiense Insights MCP Server

Audiense Insights MCP Server

通过模型上下文协议启用与 Audiense Insights 账户的交互,从而促进营销洞察和受众数据的提取和分析,包括人口统计信息、行为和影响者互动。

官方
精选
本地
TypeScript
VeyraX

VeyraX

一个单一的 MCP 工具,连接你所有喜爱的工具:Gmail、日历以及其他 40 多个工具。

官方
精选
本地
graphlit-mcp-server

graphlit-mcp-server

模型上下文协议 (MCP) 服务器实现了 MCP 客户端与 Graphlit 服务之间的集成。 除了网络爬取之外,还可以将任何内容(从 Slack 到 Gmail 再到播客订阅源)导入到 Graphlit 项目中,然后从 MCP 客户端检索相关内容。

官方
精选
TypeScript
Kagi MCP Server

Kagi MCP Server

一个 MCP 服务器,集成了 Kagi 搜索功能和 Claude AI,使 Claude 能够在回答需要最新信息的问题时执行实时网络搜索。

官方
精选
Python
e2b-mcp-server

e2b-mcp-server

使用 MCP 通过 e2b 运行代码。

官方
精选
Neon MCP Server

Neon MCP Server

用于与 Neon 管理 API 和数据库交互的 MCP 服务器

官方
精选
Exa MCP Server

Exa MCP Server

模型上下文协议(MCP)服务器允许像 Claude 这样的 AI 助手使用 Exa AI 搜索 API 进行网络搜索。这种设置允许 AI 模型以安全和受控的方式获取实时的网络信息。

官方
精选