
Cloudflare
STDIOMCP server for Cloudflare API integration and resource management
MCP server for Cloudflare API integration and resource management
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 '...'?
npx @gutmutcode/mcp-server-cloudflare init
cloudflare
section with your Cloudflare account ID.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)get_kvs
: List all KV namespaces in your accountkv_get
: Get a value from a KV namespacekv_put
: Store a value in a KV namespacekv_list
: List keys in a KV namespacekv_delete
: Delete a key from a KV namespacer2_list_buckets
: List all R2 buckets in your accountr2_create_bucket
: Create a new R2 bucketr2_delete_bucket
: Delete an R2 bucketr2_list_objects
: List objects in an R2 bucketr2_get_object
: Get an object from an R2 bucketr2_put_object
: Put an object into an R2 bucketr2_delete_object
: Delete an object from an R2 bucketd1_list_databases
: List all D1 databases in your accountd1_create_database
: Create a new D1 databased1_delete_database
: Delete a D1 databased1_query
: Execute a SQL query against a D1 databaseworker_list
: List all Workers in your accountworker_get
: Get a Worker's script contentworker_put
: Create or update a Worker scriptworker_delete
: Delete a Worker scriptanalytics_get
: Retrieve analytics data for your domain
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.
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.
// 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" })
// 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" })
// 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" })
// 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 ) ` })
// Get today's analytics analytics_get({ zoneId: "your_zone_id", since: "2024-11-26T00:00:00Z", until: "2024-11-26T23:59:59Z" })
Contributions are welcome! Please feel free to submit a Pull Request.