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mcp-server-cloudflare

MCP.Pizza Chef: GutMutCode

The mcp-server-cloudflare is an MCP server that integrates Cloudflare's API with MCP clients like IDEs (Cline, Windsurf, Cursor). It enables users to manage Cloudflare resources such as Workers, D1 databases, KV namespaces, and R2 buckets through natural language commands, streamlining cloud infrastructure management directly from development environments.

Use This MCP server To

Deploy Cloudflare Workers using natural language commands Query and manage D1 databases within Cloudflare Copy data between KV namespaces and R2 buckets Integrate Cloudflare API operations into IDE workflows Automate Cloudflare resource management from MCP clients

README

Cloudflare MCP Server for IDE

Model Context Protocol (MCP) is a new, standardized protocol for managing context between large language models (LLMs) and external systems. In this repository, we provide an installer as well as an MCP Server for Cloudflare's API.

This lets you use Claude Desktop, and IDE like VSCode (Cline) and Windsurf or any MCP Client, to use natural language to accomplish things on your Cloudflare account, e.g.:

  • Please deploy me a new Worker with an example durable object.
  • Can you tell me about the data in my D1 database named '...'?
  • Can you copy all the entries from my KV namespace '...' into my R2 bucket '...'?

Demo

Short Demo Video

Setup

  1. Run npx @gutmutcode/mcp-server-cloudflare init
Example console output
  1. Restart Claude Desktop, you should see a small 🔨 icon that shows the following tools available for use:
Example tool icon Example tool list
  1. Check out the Cline configuration file, you should see a cloudflare section with your Cloudflare account ID.
Example configuration file
  1. Check out your Windsurf MCP configuration file, you should see a cloudflare section either. Windsurf has limitation on the use of MCP tools, so you can't use too many tools at the same time. (Unlike Cline and Claude)
Screenshot 2025-02-22 at 10 28 09 PM

Features

KV Store Management

  • get_kvs: List all KV namespaces in your account
  • kv_get: Get a value from a KV namespace
  • kv_put: Store a value in a KV namespace
  • kv_list: List keys in a KV namespace
  • kv_delete: Delete a key from a KV namespace

R2 Storage Management

  • r2_list_buckets: List all R2 buckets in your account
  • r2_create_bucket: Create a new R2 bucket
  • r2_delete_bucket: Delete an R2 bucket
  • r2_list_objects: List objects in an R2 bucket
  • r2_get_object: Get an object from an R2 bucket
  • r2_put_object: Put an object into an R2 bucket
  • r2_delete_object: Delete an object from an R2 bucket

D1 Database Management

  • d1_list_databases: List all D1 databases in your account
  • d1_create_database: Create a new D1 database
  • d1_delete_database: Delete a D1 database
  • d1_query: Execute a SQL query against a D1 database

Workers Management

  • worker_list: List all Workers in your account
  • worker_get: Get a Worker's script content
  • worker_put: Create or update a Worker script
  • worker_delete: Delete a Worker script

Analytics

  • analytics_get: Retrieve analytics data for your domain
    • Includes metrics like requests, bandwidth, threats, and page views
    • Supports date range filtering

Developing

In the current project folder, run:

pnpm install
pnpm build:watch

Then, in a second terminal:

node dist/index.js init

This will link Claude Desktop against your locally-installed version for you to test.

Usage outside of Claude

To run the server locally, run node dist/index run <account-id>.

If you're using an alternative MCP Client, or testing things locally, emit the tools/list command to get an up-to-date list of all available tools. Then you can call these directly using the tools/call command.

Workers

// List workers
worker_list()

// Get worker code
worker_get({ name: "my-worker" })

// Update worker
worker_put({
  name: "my-worker",
  script: "export default { async fetch(request, env, ctx) { ... }}",
  bindings: [
    {
      type: "kv_namespace",
      name: "MY_KV",
      namespace_id: "abcd1234"
    },
    {
      type: "r2_bucket",
      name: "MY_BUCKET",
      bucket_name: "my-files"
    }
  ],
  compatibility_date: "2024-01-01",
  compatibility_flags: ["nodejs_compat"]
})

// Delete worker
worker_delete({ name: "my-worker" })

KV Store

// List KV namespaces
get_kvs()

// Get value
kv_get({
    namespaceId: "your_namespace_id",
    key: "myKey"
})

// Store value
kv_put({
    namespaceId: "your_namespace_id",
    key: "myKey",
    value: "myValue",
    expirationTtl: 3600 // optional, in seconds
})

// List keys
kv_list({
    namespaceId: "your_namespace_id",
    prefix: "app_", // optional
    limit: 10 // optional
})

// Delete key
kv_delete({
    namespaceId: "your_namespace_id",
    key: "myKey"
})

R2 Storage

// List buckets
r2_list_buckets()

// Create bucket
r2_create_bucket({ name: "my-bucket" })

// Delete bucket
r2_delete_bucket({ name: "my-bucket" })

// List objects in bucket
r2_list_objects({ 
    bucket: "my-bucket",
    prefix: "folder/", // optional
    delimiter: "/", // optional
    limit: 1000 // optional
})

// Get object
r2_get_object({
    bucket: "my-bucket",
    key: "folder/file.txt"
})

// Put object
r2_put_object({
    bucket: "my-bucket",
    key: "folder/file.txt",
    content: "Hello, World!",
    contentType: "text/plain" // optional
})

// Delete object
r2_delete_object({
    bucket: "my-bucket",
    key: "folder/file.txt"
})

D1 Database

// List databases
d1_list_databases()

// Create database
d1_create_database({ name: "my-database" })

// Delete database
d1_delete_database({ databaseId: "your_database_id" })

// Execute a single query
d1_query({
    databaseId: "your_database_id",
    query: "SELECT * FROM users WHERE age > ?",
    params: ["25"] // optional
})

// Create a table
d1_query({
    databaseId: "your_database_id",
    query: `
        CREATE TABLE users (
            id INTEGER PRIMARY KEY AUTOINCREMENT,
            name TEXT NOT NULL,
            email TEXT UNIQUE,
            created_at TIMESTAMP DEFAULT CURRENT_TIMESTAMP
        )
    `
})

Analytics

// Get today's analytics
analytics_get({
    zoneId: "your_zone_id",
    since: "2024-11-26T00:00:00Z",
    until: "2024-11-26T23:59:59Z"
})

Contributing

Contributions are welcome! Please feel free to submit a Pull Request.

mcp-server-cloudflare FAQ

How do I install the mcp-server-cloudflare?
Run `npx @gutmutcode/mcp-server-cloudflare init` to install and initialize the server.
Which MCP clients are compatible with mcp-server-cloudflare?
It works with IDEs like Cline, Windsurf, Cursor, and any MCP client supporting the protocol.
Can I manage all Cloudflare services with this server?
It supports key Cloudflare APIs such as Workers, D1 databases, KV namespaces, and R2 buckets.
Does mcp-server-cloudflare support secure authentication?
Yes, it uses Cloudflare's API authentication mechanisms to securely access your account.
Can I use this server with multiple LLM providers?
Yes, it is compatible with LLMs like OpenAI, Claude, and Gemini through MCP clients.
Is there a demo available to see mcp-server-cloudflare in action?
Yes, a short demo video is available on YouTube showcasing its capabilities.
How does mcp-server-cloudflare handle command errors?
It returns structured error messages through the MCP protocol for client handling.
Can I extend mcp-server-cloudflare to support additional Cloudflare APIs?
Yes, it is open source and can be extended to cover more Cloudflare services.