Cloudflare MCP Server

Cloudflare MCP Server – Overview

The Cloudflare MCP Server bridges the gap between AI assistants such as Claude and Cloudflare’s cloud platform. By exposing a Model Context Protocol (MCP) endpoint, it allows natural‑language commands to be translated into precise API calls that manage Workers, KV namespaces, R2 buckets, D1 databases, and analytics. This eliminates the need for developers to write boilerplate code or remember intricate API endpoints; instead, they can ask an assistant to “deploy a Worker with a durable object” or “copy KV data into R2,” and the server handles authentication, request formatting, and response parsing.

For developers building AI‑powered tooling or chatbots that interact with Cloudflare resources, this server is invaluable. It gives an AI client a unified, discoverable interface to all of Cloudflare’s services, enabling rapid prototyping and automation. Because MCP is a standardized protocol, the same client can switch between providers or local deployments with minimal changes. The server also automatically discovers and registers all available tools, making it trivial to extend or customize functionality.

Key capabilities include:

• KV Store Management – list namespaces, get/put/delete keys, and enumerate entries.
• R2 Storage Management – create, list, delete buckets; upload, download, and remove objects.
• D1 Database Management – create or delete databases and run arbitrary SQL queries.
• Workers Management – list, retrieve, deploy, or delete Worker scripts and configure bindings such as KV namespaces or R2 buckets.
• Analytics Retrieval – fetch domain‑level metrics (requests, bandwidth, threats, page views) with date range support.

These features make the server ideal for a variety of real‑world scenarios. Teams can automate infrastructure provisioning, perform ad‑hoc data inspections, or build conversational interfaces for DevOps workflows. For example, a support chatbot could answer questions about the current state of a Worker or trigger a cleanup script to purge stale KV keys, all through natural language.

Integration is straightforward: an MCP client simply calls the endpoint to discover available actions, then uses with the appropriate tool name and arguments. Because the server handles authentication via Cloudflare’s API tokens, developers only need to supply credentials once during initialization. The result is a seamless, low‑friction loop where AI assistants can directly manipulate Cloudflare resources without exposing sensitive credentials or writing custom adapters.