Cloudflare MCP Server Cloudflare

Cloudflare MCP Server is a standardized protocol service based on the Model Context Protocol (MCP) for managing context interactions between large - language models (LLMs) and external systems. Through this service, users can use natural language instructions to operate various resources in their Cloudflare accounts, such as Workers, KV storage, R2 storage, and D1 databases.

Cloud platform Developer tools #Cloud service management #Natural language interaction #API integration #Automation tools Local .TypeScript

rating : 2 points

downloads : 13

update time : 2025-04-29

What is Cloudflare MCP Server?

Cloudflare MCP Server is a service based on the Model Context Protocol (MCP) standard that allows users to interact with the Cloudflare API through natural language. It serves as a bridge between AI assistants (such as Claude) and your Cloudflare account, enabling voice/text commands to manage cloud resources.

How to use Cloudflare MCP Server?

Simply install the server and connect a client that supports MCP (such as Claude Desktop), and you can start managing your Cloudflare resources using natural language. The typical process includes three steps: initial configuration, account authorization, and sending natural language instructions.

Applicable scenarios

Suitable for developers and operations personnel who need to quickly operate Cloudflare services without memorizing complex commands, and also applicable to application scenarios where cloud resources are managed through a conversational interface.

Main features

KV storage managementFull key - value storage operation capabilities, including list viewing, read, write, delete, and modify operations.

R2 storage managementComprehensive management functions for object storage, supporting full - lifecycle operations for buckets and objects.

D1 database managementFunctions for creating, deleting, and executing queries in SQL databases, supporting parameterized queries.

Workers managementDeployment, update, and configuration management of serverless functions, supporting binding of various resources.

Data analysisGet various analysis data for domains, supporting filtering of indicators by time range.

Advantages and limitations

Advantages

Natural language interaction lowers the usage threshold.

One - stop management of multiple Cloudflare services.

Seamless integration with AI assistants such as Claude.

Standardized protocol supports multiple clients.

Limitations

Requires pre - installation and configuration.

Complex operations may require explicit instructions.

Depends on third - party client support.

How to use

Install the server

Install the MCP server package via npm.

Restart the client

Restart MCP clients such as Claude Desktop to recognize the new tool.

Start using

Use natural language instructions on the client interface to manage Cloudflare resources.

Usage examples

Deploy a WorkerDeploy a new Worker service through natural language instructions.

Database queryQuery user data in the D1 database.

Data migrationMigrate KV storage data to R2 storage.

Frequently Asked Questions

Do I need a Cloudflare account to use it?

Which MCP clients are supported?

How to ensure the security of the API key?

Does it support team collaboration?

Related resources

MCP protocol official website

Model Context Protocol standard documentation

Demo video

Function demonstration of Cloudflare MCP Server

Cloudflare API documentation

Official API reference documentation

🚀 Cloudflare MCP Server Documentation

Cloudflare's Model Context Protocol (MCP) is a protocol for interacting with the Cloudflare API. This document provides detailed information on how to install, configure, and use the Cloudflare MCP server.

🚀 Quick Start

📦 Installation

Download and extract the Cloudflare MCP server.
Open a terminal and navigate to the extracted folder.
Initialize the server by entering the following command:
```
npm install
```
After the initialization is complete, restart the Claude workstation.

Expected Results

After installation, configuration files and related dependencies will be generated in the project directory.
After the server starts, you can view the console interface in your browser.

✨ Features

KV Storage Management

Get Value: Retrieve the value corresponding to a key from a specified namespace.
Store Value: Store a key-value pair in a specified namespace with an optional expiration time.
List Keys: List all keys that match a prefix, supporting pagination.
Delete Key: Remove a specified key from a namespace.

R2 Storage Management

List Buckets: Get a list of all created storage buckets.
Create Bucket: Create a new storage bucket for storing files.
Delete Bucket: Delete a specified storage bucket and its internal data.
List Objects: List all objects in a specified bucket, supporting prefix and delimiter filtering.
Get Object: Download the content of an object at a specified path.
Upload Object: Upload a new object to a specified location with an optional MIME type.
Delete Object: Remove an object at a specified path.

D1 Database Management

List Databases: List all created database instances.
Create Database: Create a new empty database.
Delete Database: Release all resources of a specified database.
Execute Query: Send an SQL query to a specified database, supporting parameterized queries.

Analytics

Get Data: Retrieve corresponding analytics reports based on a time period and zone ID.

📚 Documentation

Install Dependencies

npm install

Start the Server

node dist/index run <your accountId>

💻 Usage Examples

KV Storage Operations

// List all namespaces
get_kvs();

// Get the value of a specified key
kv_get({
    namespaceId: "your_namespace_id",
    key: "myKey"
});

// Store a new key-value pair
kv_put({
    namespaceId: "your_namespace_id",