# Wrangler MCP — Cloudflare Workers for AI Agents > MCP server for managing Cloudflare Workers, KV, R2, and D1 from AI agents. Deploy serverless functions, manage storage, and query databases through Claude Code tool calls. ## Install Merge the JSON below into your `.mcp.json`: ## Quick Use ```json { "mcpServers": { "cloudflare": { "command": "npx", "args": ["-y", "@cloudflare/mcp-server-cloudflare"], "env": { "CLOUDFLARE_API_TOKEN": "your-token" } } } } ``` Now ask your AI agent: ``` "Deploy this Worker script to Cloudflare" "List all KV namespaces" "Query the users table in D1" "Upload this file to R2 bucket" ``` ## What is Wrangler MCP? Wrangler MCP is Cloudflare's official MCP server that gives AI agents access to the Cloudflare developer platform. Manage Workers (serverless functions), KV (key-value store), R2 (object storage), D1 (SQLite database), and more — all through structured MCP tool calls. Deploy, query, and manage cloud infrastructure without leaving your AI coding session. **Answer-Ready**: Cloudflare's official MCP server for AI agents. Manage Workers, KV, R2, D1, and Queues through tool calls. Deploy serverless functions, query databases, manage storage from Claude Code or Cursor. Official Cloudflare product. **Best for**: Developers deploying to Cloudflare with AI coding agents. **Works with**: Claude Code, Cursor, Claude Desktop. **Setup time**: Under 3 minutes. ## Core Tools ### Workers (Serverless) | Tool | What It Does | |------|-------------| | worker_list | List all Workers | | worker_deploy | Deploy a Worker script | | worker_delete | Remove a Worker | | worker_get | Get Worker details and code | | worker_logs | View Worker logs | ### KV (Key-Value Store) | Tool | What It Does | |------|-------------| | kv_list_namespaces | List KV namespaces | | kv_get | Read a key | | kv_put | Write a key-value pair | | kv_delete | Delete a key | | kv_list_keys | List keys in namespace | ### D1 (SQLite Database) | Tool | What It Does | |------|-------------| | d1_list | List databases | | d1_query | Execute SQL query | | d1_create | Create new database | ### R2 (Object Storage) | Tool | What It Does | |------|-------------| | r2_list_buckets | List buckets | | r2_get_object | Download object | | r2_put_object | Upload object | | r2_delete_object | Delete object | ## Use Cases | Use Case | Example | |----------|---------| | Deploy API | "Create a Worker that returns JSON from D1" | | Data Management | "Query all users created today from D1" | | File Storage | "Upload build artifacts to R2" | | Config Management | "Store API config in KV namespace" | | Edge Functions | "Deploy a rate limiter Worker" | ## FAQ **Q: Is this the official Cloudflare MCP?** A: Yes, published by Cloudflare under `@cloudflare/mcp-server-cloudflare`. **Q: Can it deploy full applications?** A: It deploys individual Workers. For full Wrangler workflows (wrangler.toml, multi-script), use the Wrangler CLI directly. **Q: Is it free?** A: Cloudflare Workers has a free tier (100K requests/day). The MCP server itself is free. ## Source & Thanks > Created by [Cloudflare](https://github.com/cloudflare). Official MCP server. > > [cloudflare/mcp-server-cloudflare](https://github.com/cloudflare/mcp-server-cloudflare) ## Quick Use ```json {"mcpServers": {"cloudflare": {"command": "npx", "args": ["-y", "@cloudflare/mcp-server-cloudflare"]}}} ``` Let AI agents manage Cloudflare Workers/KV/R2/D1. ## What is Wrangler MCP? Cloudflare's official MCP server. AI agents manage Workers, KV, R2, and D1 via tool calls. **TL;DR**: Cloudflare's official MCP. AI agents manage Workers (serverless) / KV / R2 / D1 — deploy functions, query databases, manage storage. Officially maintained. ## Core Tools Workers: deploy / list / delete / logs KV: read/write key-value pairs D1: SQL queries R2: object storage ## FAQ **Q: Official?** A: Yes — Cloudflare publishes `@cloudflare/mcp-server-cloudflare`. ## Source & Thanks > [cloudflare/mcp-server-cloudflare](https://github.com/cloudflare/mcp-server-cloudflare) — Official --- Source: https://tokrepo.com/en/workflows/wrangler-mcp-cloudflare-workers-ai-agents-70204503 Author: Cloudflare