Are there resources for troubleshooting?

Yes, the skill includes a production deployment guide that covers 22 known errors and provides specific solutions for common Cloudflare and MCP integration issues.

What deployment options are covered?

The skill focuses on Cloudflare Workers, providing documentation for SSE, HTTP, and WebSocket transports, along with production configuration and authentication patterns.

How do I define new tools for Claude to use?

You can use the server.tool() method defined in the templates to specify the tool name, description, and JSON schema parameters that Claude will use to call the function.

Does this skill support stateful AI interactions?

Yes, it provides specific templates and guidance for using Cloudflare Durable Objects to maintain state and context across multiple AI interactions.

What is an MCP server?

A Model Context Protocol (MCP) server is a specialized backend that allows AI models like Claude to securely access specific tools, data, and external resources through a standardized interface.

Cloudflare MCP Server

Name: Cloudflare MCP Server
Author: secondsky

bysecondsky

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Cloud Infrastructure

Builds and deploys production-ready Model Context Protocol (MCP) servers on the Cloudflare Workers edge platform.

About

This skill provides a comprehensive framework for developing and scaling Model Context Protocol (MCP) servers using Cloudflare's serverless infrastructure. It offers specialized guidance on integrating tools, resources, and prompts while leveraging Cloudflare-specific features like Durable Objects for stateful interactions and WebSocket hibernation for cost-effective connectivity. Whether you are building simple utility tools or complex, stateful AI backends, this skill streamlines the entire lifecycle from initial scaffolding to production-grade deployment with pre-validated patterns.

Key Features

Support for multiple transports including SSE, HTTP, and WebSockets
Production-ready deployment guides with 22+ common error solutions
Ready-to-use templates for basic, stateful, and WebSocket-based MCP servers
Standardized patterns for defining AI-callable tools and data resources
21 GitHub stars
Deep integration with Cloudflare Durable Objects for persistent state management

Use Cases

Developing low-latency, edge-deployed backends for AI-driven applications
Implementing stateful AI interactions that require persistent memory across sessions
Building custom AI tools that securely connect Claude to private APIs and databases

About

Key Features

Support for multiple transports including SSE, HTTP, and WebSockets
Production-ready deployment guides with 22+ common error solutions
Ready-to-use templates for basic, stateful, and WebSocket-based MCP servers
Standardized patterns for defining AI-callable tools and data resources
21 GitHub stars
Deep integration with Cloudflare Durable Objects for persistent state management

Use Cases

Developing low-latency, edge-deployed backends for AI-driven applications
Implementing stateful AI interactions that require persistent memory across sessions
Building custom AI tools that securely connect Claude to private APIs and databases