How to integrate Cloudflare MCP with Mastra AI

This guide walks you through connecting Cloudflare to Mastra AI using the Composio tool router. By the end, you'll have a working Cloudflare agent that can add new a record for your domain, list all firewall rules for zone, show members of your cloudflare account through natural language commands. This guide will help you understand how to give your Mastra AI agent real control over a Cloudflare account through Composio's Cloudflare MCP server. Before we dive in, let's take a quick look at the key ideas and tools involved.

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Cloudflare is a global network that secures and accelerates web traffic. It helps protect your sites and APIs from attacks while ensuring reliable performance.

20 Tools

Introduction

This guide walks you through connecting Cloudflare to Mastra AI using the Composio tool router. By the end, you'll have a working Cloudflare agent that can add new a record for your domain, list all firewall rules for zone, show members of your cloudflare account through natural language commands.

This guide will help you understand how to give your Mastra AI agent real control over a Cloudflare account through Composio's Cloudflare MCP server.

Before we dive in, let's take a quick look at the key ideas and tools involved.

Also integrate Cloudflare with

TL;DR

Here's what you'll learn:
  • Set up your environment so Mastra, OpenAI, and Composio work together
  • Create a Tool Router session in Composio that exposes Cloudflare tools
  • Connect Mastra's MCP client to the Composio generated MCP URL
  • Fetch Cloudflare tool definitions and attach them as a toolset
  • Build a Mastra agent that can reason, call tools, and return structured results
  • Run an interactive CLI where you can chat with your Cloudflare agent

What is Mastra AI?

Mastra AI is a TypeScript framework for building AI agents with tool support. It provides a clean API for creating agents that can use external services through MCP.

Key features include:

  • MCP Client: Built-in support for Model Context Protocol servers
  • Toolsets: Organize tools into logical groups
  • Step Callbacks: Monitor and debug agent execution
  • OpenAI Integration: Works with OpenAI models via @ai-sdk/openai

What is the Cloudflare MCP server, and what's possible with it?

The Cloudflare MCP server is an implementation of the Model Context Protocol that connects your AI agent and assistants like Claude, Cursor, etc directly to your Cloudflare account. It provides structured and secure access to your Cloudflare infrastructure, so your agent can perform actions like managing DNS records, configuring WAF lists, auditing firewall rules, and overseeing zones and account members—all on your behalf.

  • DNS record management: Effortlessly create or delete DNS records within any zone, allowing your agent to automate domain setup and maintenance tasks.
  • WAF list and firewall rule automation: Direct your agent to create, list, or delete Web Application Firewall (WAF) lists and audit firewall rules to enhance your site's security posture.
  • Zone administration: Enable your agent to create new zones when adding domains or delete zones that are no longer needed, streamlining domain onboarding and cleanup.
  • Account and member management: Let your agent list all Cloudflare accounts you have access to and enumerate members within each account for audit or collaboration purposes.
  • Comprehensive infrastructure visibility: Ask your agent to fetch and review your entire Cloudflare account structure, making it simple to monitor resources and configurations at scale.

What is the Composio tool router, and how does it fit here?

What is Composio SDK?

Composio's Composio SDK helps agents find the right tools for a task at runtime. You can plug in multiple toolkits (like Gmail, HubSpot, and GitHub), and the agent will identify the relevant app and action to complete multi-step workflows. This can reduce token usage and improve the reliability of tool calls. Read more here: Getting started with Composio SDK

The tool router generates a secure MCP URL that your agents can access to perform actions.

How the Composio SDK works

The Composio SDK follows a three-phase workflow:

  1. Discovery: Searches for tools matching your task and returns relevant toolkits with their details.
  2. Authentication: Checks for active connections. If missing, creates an auth config and returns a connection URL via Auth Link.
  3. Execution: Executes the action using the authenticated connection.

Step-by-step Guide

Step by step09 STEPS
1

Prerequisites

Before starting, make sure you have:
  • Node.js 18 or higher
  • A Composio account with an active API key
  • An OpenAI API key
  • Basic familiarity with TypeScript
2

Getting API Keys for OpenAI and Composio

OpenAI API Key
  • Go to the OpenAI dashboard and create an API key.
  • You need credits or a connected billing setup to use the models.
  • Store the key somewhere safe.
Composio API Key
  • Log in to the Composio dashboard.
  • Go to Settings and copy your API key.
  • This key lets your Mastra agent talk to Composio and reach Cloudflare through MCP.
3

Install dependencies

bash
npm install @composio/core @mastra/core @mastra/mcp @ai-sdk/openai dotenv

Install the required packages.

What's happening:

  • @composio/core is the Composio SDK for creating MCP sessions
  • @mastra/core provides the Agent class
  • @mastra/mcp is Mastra's MCP client
  • @ai-sdk/openai is the model wrapper for OpenAI
  • dotenv loads environment variables from .env
4

Set up environment variables

bash
COMPOSIO_API_KEY=your_composio_api_key_here
COMPOSIO_USER_ID=your_user_id_here
OPENAI_API_KEY=your_openai_api_key_here

Create a .env file in your project root.

What's happening:

  • COMPOSIO_API_KEY authenticates your requests to Composio
  • COMPOSIO_USER_ID tells Composio which user this session belongs to
  • OPENAI_API_KEY lets the Mastra agent call OpenAI models
5

Import libraries and validate environment

typescript
import "dotenv/config";
import { openai } from "@ai-sdk/openai";
import { Agent } from "@mastra/core/agent";
import { MCPClient } from "@mastra/mcp";
import { Composio } from "@composio/core";
import * as readline from "readline";

import type { AiMessageType } from "@mastra/core/agent";

const openaiAPIKey = process.env.OPENAI_API_KEY;
const composioAPIKey = process.env.COMPOSIO_API_KEY;
const composioUserID = process.env.COMPOSIO_USER_ID;

if (!openaiAPIKey) throw new Error("OPENAI_API_KEY is not set");
if (!composioAPIKey) throw new Error("COMPOSIO_API_KEY is not set");
if (!composioUserID) throw new Error("COMPOSIO_USER_ID is not set");

const composio = new Composio({
  apiKey: composioAPIKey as string,
});
What's happening:
  • dotenv/config auto loads your .env so process.env.* is available
  • openai gives you a Mastra compatible model wrapper
  • Agent is the Mastra agent that will call tools and produce answers
  • MCPClient connects Mastra to your Composio MCP server
  • Composio is used to create a Tool Router session
6

Create a Tool Router session for Cloudflare

typescript
async function main() {
  const session = await composio.create(
    composioUserID as string,
    {
      toolkits: ["cloudflare"],
    },
  );

  const composioMCPUrl = session.mcp.url;
  console.log("Cloudflare MCP URL:", composioMCPUrl);
What's happening:
  • create spins up a short-lived MCP HTTP endpoint for this user
  • The toolkits array contains "cloudflare" for Cloudflare access
  • session.mcp.url is the MCP URL that Mastra's MCPClient will connect to
7

Configure Mastra MCP client and fetch tools

typescript
const mcpClient = new MCPClient({
    id: composioUserID as string,
    servers: {
      nasdaq: {
        url: new URL(composioMCPUrl),
        requestInit: {
          headers: session.mcp.headers,
        },
      },
    },
    timeout: 30_000,
  });

console.log("Fetching MCP tools from Composio...");
const composioTools = await mcpClient.getTools();
console.log("Number of tools:", Object.keys(composioTools).length);
What's happening:
  • MCPClient takes an id for this client and a list of MCP servers
  • The headers property includes the x-api-key for authentication
  • getTools fetches the tool definitions exposed by the Cloudflare toolkit
8

Create the Mastra agent

typescript
const agent = new Agent({
    name: "cloudflare-mastra-agent",
    instructions: "You are an AI agent with Cloudflare tools via Composio.",
    model: "openai/gpt-5",
  });
What's happening:
  • Agent is the core Mastra agent
  • name is just an identifier for logging and debugging
  • instructions guide the agent to use tools instead of only answering in natural language
  • model uses openai("gpt-5") to configure the underlying LLM
9

Set up interactive chat interface

typescript
let messages: AiMessageType[] = [];

console.log("Chat started! Type 'exit' or 'quit' to end.\n");

const rl = readline.createInterface({
  input: process.stdin,
  output: process.stdout,
  prompt: "> ",
});

rl.prompt();

rl.on("line", async (userInput: string) => {
  const trimmedInput = userInput.trim();

  if (["exit", "quit", "bye"].includes(trimmedInput.toLowerCase())) {
    console.log("\nGoodbye!");
    rl.close();
    process.exit(0);
  }

  if (!trimmedInput) {
    rl.prompt();
    return;
  }

  messages.push({
    id: crypto.randomUUID(),
    role: "user",
    content: trimmedInput,
  });

  console.log("\nAgent is thinking...\n");

  try {
    const response = await agent.generate(messages, {
      toolsets: {
        cloudflare: composioTools,
      },
      maxSteps: 8,
    });

    const { text } = response;

    if (text && text.trim().length > 0) {
      console.log(`Agent: ${text}\n`);
        messages.push({
          id: crypto.randomUUID(),
          role: "assistant",
          content: text,
        });
      }
    } catch (error) {
      console.error("\nError:", error);
    }

    rl.prompt();
  });

  rl.on("close", async () => {
    console.log("\nSession ended.");
    await mcpClient.disconnect();
    process.exit(0);
  });
}

main().catch((err) => {
  console.error("Fatal error:", err);
  process.exit(1);
});
What's happening:
  • messages keeps the full conversation history in Mastra's expected format
  • agent.generate runs the agent with conversation history and Cloudflare toolsets
  • maxSteps limits how many tool calls the agent can take in a single run
  • onStepFinish is a hook that prints intermediate steps for debugging

Complete Code

Here's the complete code to get you started with Cloudflare and Mastra AI:

typescript
import "dotenv/config";
import { openai } from "@ai-sdk/openai";
import { Agent } from "@mastra/core/agent";
import { MCPClient } from "@mastra/mcp";
import { Composio } from "@composio/core";
import * as readline from "readline";

import type { AiMessageType } from "@mastra/core/agent";

const openaiAPIKey = process.env.OPENAI_API_KEY;
const composioAPIKey = process.env.COMPOSIO_API_KEY;
const composioUserID = process.env.COMPOSIO_USER_ID;

if (!openaiAPIKey) throw new Error("OPENAI_API_KEY is not set");
if (!composioAPIKey) throw new Error("COMPOSIO_API_KEY is not set");
if (!composioUserID) throw new Error("COMPOSIO_USER_ID is not set");

const composio = new Composio({ apiKey: composioAPIKey as string });

async function main() {
  const session = await composio.create(composioUserID as string, {
    toolkits: ["cloudflare"],
  });

  const composioMCPUrl = session.mcp.url;

  const mcpClient = new MCPClient({
    id: composioUserID as string,
    servers: {
      cloudflare: {
        url: new URL(composioMCPUrl),
        requestInit: {
          headers: session.mcp.headers,
        },
      },
    },
    timeout: 30_000,
  });

  const composioTools = await mcpClient.getTools();

  const agent = new Agent({
    name: "cloudflare-mastra-agent",
    instructions: "You are an AI agent with Cloudflare tools via Composio.",
    model: "openai/gpt-5",
  });

  let messages: AiMessageType[] = [];

  const rl = readline.createInterface({
    input: process.stdin,
    output: process.stdout,
    prompt: "> ",
  });

  rl.prompt();

  rl.on("line", async (input: string) => {
    const trimmed = input.trim();
    if (["exit", "quit"].includes(trimmed.toLowerCase())) {
      rl.close();
      return;
    }

    messages.push({ id: crypto.randomUUID(), role: "user", content: trimmed });

    const { text } = await agent.generate(messages, {
      toolsets: { cloudflare: composioTools },
      maxSteps: 8,
    });

    if (text) {
      console.log(`Agent: ${text}\n`);
      messages.push({ id: crypto.randomUUID(), role: "assistant", content: text });
    }

    rl.prompt();
  });

  rl.on("close", async () => {
    await mcpClient.disconnect();
    process.exit(0);
  });
}

main();

Conclusion

You've built a Mastra AI agent that can interact with Cloudflare through Composio's Tool Router. You can extend this further by:
  • Adding other toolkits like Gmail, Slack, or GitHub
  • Building a web-based chat interface around this agent
  • Using multiple MCP endpoints to enable cross-app workflows
TOOLS

Supported Tools

Every Cloudflare action and event your agent gets out of the box.

Create DNS record

Tool to create a new DNS record within a specific zone.

Create WAF List

Create a new empty custom list for use in WAF rules and filters.

Create Zone

Creates a new DNS zone (domain) in Cloudflare.

Delete DNS Record

Tool to delete a DNS record within a specific zone.

Delete WAF List

Tool to delete a WAF list.

Delete Zone

Tool to delete a zone.

Get Bot Management Settings

Tool to retrieve a zone's Bot Management configuration (Bot Fight Mode / Super Bot Fight Mode / Enterprise Bot Management).

List WAF Lists

Tool to fetch all WAF lists (no items) for an account.

List Account Members

Lists all members of a Cloudflare account with their roles, permissions, and status.

List Accounts

List all Cloudflare accounts you have ownership or verified access to.

List DNS records

Tool to list and search DNS records in a Cloudflare zone.

List Firewall Rules

Tool to list firewall rules for a specific DNS zone.

List Monitors

Tool to list all load-balancer monitors in a Cloudflare account.

List Pools

Tool to list all load balancer pools in a Cloudflare account.

List Tunnels

List Cloudflare Tunnel (cloudflared) tunnels in an account to discover tunnel IDs, names, and statuses.

List Zones

Lists, searches, sorts, and filters zones in the authenticated account.

Update DNS record

Tool to update an existing DNS record within a specific zone.

Update WAF List

Tool to update the description of a WAF list (cannot update items).

Update Tunnel Configuration

Tool to update a remotely-managed Cloudflare Tunnel's configuration (ingress rules and routing).

Update Zone

Tool to update properties of an existing zone; changes apply immediately to the live zone.

FAQ

Frequently asked questions

With a standalone Cloudflare MCP server, the agents and LLMs can only access a fixed set of Cloudflare tools tied to that server. However, with the Composio Tool Router, agents can dynamically load tools from Cloudflare and many other apps based on the task at hand, all through a single MCP endpoint.

Yes, you can. Mastra AI fully supports MCP integration. You get structured tool calling, message history handling, and model orchestration while Tool Router takes care of discovering and serving the right Cloudflare tools.

Yes, absolutely. You can configure which Cloudflare scopes and actions are allowed when connecting your account to Composio. You can also bring your own OAuth credentials or API configuration so you keep full control over what the agent can do.

All sensitive data such as tokens, keys, and configuration is fully encrypted at rest and in transit. Composio is SOC 2 Type 2 compliant and follows strict security practices so your Cloudflare data and credentials are handled as safely as possible.

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