# Cloudflare MCP

```json
{
  "name": "Cloudflare MCP",
  "slug": "cloudflare_mcp",
  "url": "https://composio.dev/toolkits/cloudflare_mcp",
  "markdown_url": "https://composio.dev/toolkits/cloudflare_mcp.md",
  "logo_url": "https://logos.composio.dev/api/cloudflare_mcp",
  "categories": [
    "developer tools & devops"
  ],
  "is_composio_managed": false,
  "updated_at": "2026-09-24T15:33:30.252Z"
}
```

![Cloudflare MCP logo](https://logos.composio.dev/api/cloudflare_mcp)

## Description

Securely connect your AI agents and chatbots (Claude, ChatGPT, Cursor, etc) with Cloudflare MCP or direct API to manage DNS records, purge cache, update firewall rules, and inspect traffic analytics through natural language.

## Summary

Cloudflare MCP is Cloudflare's managed API server for automating Cloudflare resources.
Use it to centrally manage DNS, caching, firewall rules, and edge settings.

## Categories

- developer tools & devops

## Toolkit Details

- Tools: 3

## Images

- Logo: https://logos.composio.dev/api/cloudflare_mcp

## Authentication

- **Dcr Oauth**
  - Type: `custom`
  - Description: Dcr Oauth authentication for Cloudflare MCP.
  - Setup:
    - Configure Dcr Oauth credentials for Cloudflare MCP.
    - Use the credentials when creating an auth config in Composio.

## Suggested Prompts

- List active firewall rules for domain
- Purge cache for specific URL
- Create DNS record for example.com

## Supported Tools

| Tool slug | Name | Description |
|---|---|---|
| `CLOUDFLARE_MCP_DOCS` | Docs | Search the Cloudflare documentation. This tool should be used to answer any question about Cloudflare products or features, including: - Workers, Pages, R2, Images, Stream, D1, Durable Objects, KV, Workflows, Hyperdrive, Queues - AI Search, Workers AI, Vectorize, AI Gateway, Browser Rendering - Zero Trust, Access, Tunnel, Gateway, Browser Isolation, WARP, DDOS, Magic Transit, Magic WAN - CDN, Cache, DNS, Zaraz, Argo, Rulesets, Terraform, Account and Billing Results are returned as semantically similar chunks to the query. |
| `CLOUDFLARE_MCP_EXECUTE` | Execute | Execute JavaScript code against the Cloudflare API. First use the 'search' tool to find the right endpoints, then write code using the cloudflare.request() function. Available in your code: interface CloudflareRequestOptions { method: "GET" \| "POST" \| "PUT" \| "PATCH" \| "DELETE"; path: string; query?: Record; body?: unknown; contentType?: string; // Custom Content-Type header (defaults to application/json if body is present) rawBody?: boolean; // If true, sends body as-is without JSON.stringify } interface CloudflareResponse { success: boolean; status: number; result: T; errors: Array; messages: Array; result_info?: { page: number; per_page: number; total_pages: number; count: number; total_count: number; }; } declare const cloudflare: { request(options: CloudflareRequestOptions): Promise>; }; declare const accountId: string; // accountId is pre-set to "e8a40544a7211334b83bf588bbf7dec1" (Qa@agent51testing.com's Account) — use it directly in API paths. Your code must be an async arrow function that returns the result. Example: Worker with bindings (requires multipart/form-data): async () => { const code = `addEventListener('fetch', e => e.respondWith(MY_KV.get('key').then(v => new Response(v \|\| 'none'))));`; const metadata = { body_part: "script", bindings: [{ type: "kv_namespace", name: "MY_KV", namespace_id: "your-kv-id" }] }; const b = `--F${Date.now()}`; const body = [`--${b}`, 'Content-Disposition: form-data; name="metadata"', 'Content-Type: application/json', '', JSON.stringify(metadata), `--${b}`, 'Content-Disposition: form-data; name="script"', 'Content-Type: application/javascript', '', code, `--${b}--`].join("\\r\\n"); return cloudflare.request({ method: "PUT", path: `/accounts/${accountId}/workers/scripts/my-worker`, body, contentType: `multipart/form-data; boundary=${b}`, rawBody: true }); } |
| `CLOUDFLARE_MCP_SEARCH` | Search | Search the Cloudflare OpenAPI spec. All $refs are pre-resolved inline. Products: cloudforce-one, access, magic, workers, dlp, realtime, email-security, devices, email, ai-gateway, intel, gateway, stream, brand-protection, settings, ai-search, data-security, browser-rendering, dex, logpush, api_gateway, builds, addressing, images, load_balancers, security-center, rulesets, vectorize, firewall, logs... (160 total) Types: interface OperationInfo { summary?: string; description?: string; tags?: string[]; parameters?: Array; requestBody?: { required?: boolean; content?: Record }; responses?: Record }>; } interface PathItem { get?: OperationInfo; post?: OperationInfo; put?: OperationInfo; patch?: OperationInfo; delete?: OperationInfo; } declare const spec: { paths: Record; }; Examples: // Find endpoints by product async () => { const results = []; for (const [path, methods] of Object.entries(spec.paths)) { for (const [method, op] of Object.entries(methods)) { if (op.tags?.some(t => t.toLowerCase() === 'workers')) { results.push({ method: method.toUpperCase(), path, summary: op.summary }); } } } return results; } // Get endpoint with requestBody schema (refs are resolved) async () => { const op = spec.paths['/accounts/{account_id}/d1/database']?.post; return { summary: op?.summary, requestBody: op?.requestBody }; } // Get endpoint parameters async () => { const op = spec.paths['/accounts/{account_id}/workers/scripts']?.get; return op?.parameters; } |

## Supported Triggers

None listed.

## Installation and MCP Setup

### Path 1: SDK Installation

#### Path 1, Step 1: Install Composio

Install the Composio SDK, the OpenAI provider, and the OpenAI SDK
```python
pip install composio composio_openai openai
```

```typescript
npm install @composio/core @composio/openai openai
```

#### Path 1, Step 2: Create a Composio session

Initialize Composio with the OpenAI Responses provider and create a session scoped to Cloudflare MCP
```python
import json
from openai import OpenAI
from composio import Composio
from composio_openai import OpenAIResponsesProvider

composio = Composio(provider=OpenAIResponsesProvider())
client = OpenAI()

session = composio.create(user_id="your-user-id", toolkits=["cloudflare_mcp"])
tools = session.tools()
```

```typescript
import OpenAI from "openai";
import { Composio } from "@composio/core";
import { OpenAIResponsesProvider } from "@composio/openai";

const composio = new Composio({ provider: new OpenAIResponsesProvider() });
const client = new OpenAI();

const session = await composio.create("your-user-id", { toolkits: ["cloudflare_mcp"] });
const tools = await session.tools();
```

#### Path 1, Step 3: Run Cloudflare MCP tools with your agent

Send a request, execute the Cloudflare MCP tool calls through the session, and print the final answer
```python
response = client.responses.create(
    model="gpt-5.6-sol",
    tools=tools,
    input=[{"role": "user", "content": "Create an A record for api.example.com pointing to 203.0.113.10"}],
)

while True:
    tool_calls = [o for o in response.output if o.type == "function_call"]
    if not tool_calls:
        break
    results = composio.provider.handle_tool_calls(response=response, session=session)
    response = client.responses.create(
        model="gpt-5.6-sol",
        tools=tools,
        previous_response_id=response.id,
        input=[
            {"type": "function_call_output", "call_id": call.call_id, "output": json.dumps(results[i])}
            for i, call in enumerate(tool_calls)
        ],
    )

print(response.output_text)
```

```typescript
let response = await client.responses.create({
  model: "gpt-5.6-sol",
  tools,
  input: [{ role: "user", content: "Create an A record for api.example.com pointing to 203.0.113.10" }],
});

while (response.output.some((o) => o.type === "function_call")) {
  const outputs = await composio.provider.handleToolCalls(session, response.output);
  response = await client.responses.create({
    model: "gpt-5.6-sol",
    tools,
    previous_response_id: response.id,
    input: outputs,
  });
}

console.log(response.output_text);
```

### Path 2: MCP Server Setup

#### Path 2, Step 1: Install Composio

Install the Composio SDK and your agent framework
```python
pip install composio claude-agent-sdk
```

```typescript
npm install @composio/core ai @ai-sdk/mcp @ai-sdk/openai
```

#### Path 2, Step 2: Create a session with MCP enabled

Create a session scoped to Cloudflare MCP and read its MCP URL and headers
```python
from composio import Composio

composio = Composio()
session = composio.create(user_id="your-user-id", toolkits=["cloudflare_mcp"], mcp=True)
```

```typescript
import { Composio } from "@composio/core";

const composio = new Composio();
const { mcp } = await composio.create("your-user-id", {
  toolkits: ["cloudflare_mcp"],
  mcp: true,
});
```

#### Path 2, Step 3: Connect your agent to the MCP server

Pass the session's MCP URL and headers to your agent and run a Cloudflare MCP request
```python
import asyncio
from claude_agent_sdk import ClaudeSDKClient, ClaudeAgentOptions, AssistantMessage, TextBlock

options = ClaudeAgentOptions(
    mcp_servers={
        "composio": {
            "type": "http",
            "url": session.mcp.url,
            "headers": session.mcp.headers,
        }
    },
    system_prompt="You are a helpful assistant with access to Cloudflare MCP tools.",
    tools=[],
    allowed_tools=["mcp__composio__*"],
)

async def main():
    async with ClaudeSDKClient(options=options) as client:
        await client.query("Create an A record for api.example.com pointing to 203.0.113.10")
        async for message in client.receive_response():
            if isinstance(message, AssistantMessage):
                for block in message.content:
                    if isinstance(block, TextBlock):
                        print(block.text)

asyncio.run(main())
```

```typescript
import { createMCPClient } from "@ai-sdk/mcp";
import { openai } from "@ai-sdk/openai";
import { generateText, stepCountIs } from "ai";

const client = await createMCPClient({
  transport: { type: "http", url: mcp.url, headers: mcp.headers },
});

const { text } = await generateText({
  model: openai("gpt-5.6-sol"),
  tools: await client.tools(),
  prompt: "Create an A record for api.example.com pointing to 203.0.113.10",
  stopWhen: stepCountIs(10),
});

console.log(text);
await client.close();
```

## Why Use Composio?

### 1. AI Native Cloudflare MCP Integration

- Supports both Cloudflare MCP and direct API based integrations
- Structured, LLM-friendly schemas for reliable tool execution
- Rich coverage for reading, writing, and querying your Cloudflare MCP data

### 2. Managed Auth

- Built-in OAuth handling with automatic token refresh and rotation
- Central place to manage, scope, and revoke Cloudflare MCP access
- Per user and per environment credentials instead of hard-coded keys

### 3. Agent Optimized Design

- Tools are tuned using real error and success rates to improve reliability over time
- Comprehensive execution logs so you always know what ran, when, and on whose behalf

### 4. Enterprise Grade Security

- Fine-grained RBAC so you control which agents and users can access Cloudflare MCP
- Scoped, least privilege access to Cloudflare MCP resources
- Full audit trail of agent actions to support review and compliance

## Use Cloudflare MCP with any AI Agent Framework

Choose a framework you want to connect Cloudflare MCP with:

- [ChatGPT](https://composio.dev/toolkits/cloudflare_mcp/framework/chatgpt)
- [Claude Cowork](https://composio.dev/toolkits/cloudflare_mcp/framework/claude-cowork)
- [Hermes](https://composio.dev/toolkits/cloudflare_mcp/framework/hermes-agent)
- [Atomic Agent](https://composio.dev/toolkits/cloudflare_mcp/framework/atomic-agent)

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- [Azure Monitor Activity Log](https://composio.dev/toolkits/azure_monitor_activity_log) - Azure Monitor Activity Log is Azure's service that records management and control-plane events for a subscription. Use it to audit changes, troubleshoot issues, and track resource operations across your Azure resources.
- [Backendless](https://composio.dev/toolkits/backendless) - Backendless is a backend-as-a-service platform for mobile and web apps, offering database, file storage, user authentication, and APIs. It helps developers ship scalable applications faster without managing server infrastructure.
- [Baserow](https://composio.dev/toolkits/baserow) - Baserow is an open-source no-code database platform for building collaborative data apps. It makes it easy for teams to organize data and automate workflows without writing code.
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## Frequently Asked Questions

### Do I need my own developer credentials to use Cloudflare MCP with Composio?

Yes, Cloudflare MCP requires you to configure your own Dcr Oauth credentials. Once set up, Composio handles secure credential storage and management for you.

### Can I use multiple toolkits together?

Yes! Composio's Tool Router enables agents to use multiple toolkits. [Learn more](https://docs.composio.dev/tool-router/overview).

### Is Composio secure?

Composio is SOC 2 and ISO 27001 compliant with all data encrypted in transit and at rest. [Learn more](https://trust.composio.dev).

### What if the API changes?

Composio maintains and updates all toolkit integrations automatically, so your agents always work with the latest API versions.

---
[See all toolkits](https://composio.dev/toolkits) · [Composio docs](https://docs.composio.dev/llms.txt)