Cloudflare Workers
workers-mcp is a toolkit that connects Cloudflare Workers to MCP clients, allowing developers to expose Worker functions for use by MCP clients such as Claude Desktop.
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What is the Cloudflare Workers MCP Server?
The Cloudflare Workers MCP Server allows you to integrate custom features into your AI applications through Cloudflare Workers. You can write JavaScript or TypeScript functions and expose them to AI tools like Claude Desktop via the MCP protocol.How to use the Cloudflare Workers MCP Server?
After installing and configuring the Cloudflare Workers MCP Server, you can let your AI tools call your Worker functions with just a few lines of code.Use Cases
Suitable for enterprises, developers, and individual users who need customized AI interactions, such as generating random numbers, image processing, browser rendering, etc.Main Features
Support for Multiple Programming LanguagesYou can write custom logic using JavaScript or TypeScript.
Real-time UpdatesAfter modifying the code, you don't need to redeploy the entire system. Just run a simple command to update.
Cross-platform CompatibilitySupports Claude Desktop, Cursor, and other MCP clients.
Advantages and Limitations
Advantages
Quick integration with existing APIs and services
High reliability (supported by Cloudflare's global network)
Easy to maintain and expand
Limitations
May require some development experience
Some advanced features may depend on specific environments
How to Use
Generate a New Cloudflare Worker
Create a new project using the create-cloudflare tool.
Install workers-mcp
Install the workers-mcp package in the project directory.
Initialize the MCP Server
Run the setup command to complete the initialization.
Deploy the Worker
Run this command to update the service after each code change.
Usage Examples
Generate Random NumbersGenerate random numbers by calling the getRandomNumber method in the Worker.
Image GenerationUse Workers AI to run the Flux model to generate images.
Frequently Asked Questions
How to ensure the security of my Worker?
Does it support other MCP clients?
How to solve the problem of deployment failure?
Related Resources
Official Documentation
Detailed installation and configuration guide.
GitHub Repository
Source code and example projects.
Tutorial Video
Quick start tutorial.
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