How to integrate Cloudflare api key MCP with Autogen

This guide walks you through connecting Cloudflare api key to AutoGen using the Composio tool router. By the end, you'll have a working Cloudflare api key agent that can add new a record to your dns zone, delete outdated cname record from domain, create lockdown rule for admin urls through natural language commands. This guide will help you understand how to give your AutoGen agent real control over a Cloudflare api key account through Composio's Cloudflare api key MCP server. Before we dive in, let's take a quick look at the key ideas and tools involved.

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Introduction

This guide walks you through connecting Cloudflare api key to AutoGen using the Composio tool router. By the end, you'll have a working Cloudflare api key agent that can add new a record to your dns zone, delete outdated cname record from domain, create lockdown rule for admin urls through natural language commands.

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

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

Also integrate Cloudflare api key with

ChatGPTOpenAI Agents SDKClaude Agent SDKClaude CodeClaude CoworkCodexOpenCodeCursorVS CodeOpenClawHermesCLIGoogle ADKLangChainVercel AI SDKMastra AILlamaIndexCrewAI

TL;DR

Here's what you'll learn:
  • Get and set up your OpenAI and Composio API keys
  • Install the required dependencies for Autogen and Composio
  • Initialize Composio and create a Tool Router session for Cloudflare api key
  • Wire that MCP URL into Autogen using McpWorkbench and StreamableHttpServerParams
  • Configure an Autogen AssistantAgent that can call Cloudflare api key tools
  • Run a live chat loop where you ask the agent to perform Cloudflare api key operations

What is AutoGen?

Autogen is a framework for building multi-agent conversational AI systems from Microsoft. It enables you to create agents that can collaborate, use tools, and maintain complex workflows.

Key features include:

  • Multi-Agent Systems: Build collaborative agent workflows
  • MCP Workbench: Native support for Model Context Protocol tools
  • Streaming HTTP: Connect to external services through streamable HTTP
  • AssistantAgent: Pre-built agent class for tool-using assistants

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

The Cloudflare api key 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 services, so your agent can create DNS records, manage security rules, delete zones, and automate zone configurations on your behalf.

  • Automated DNS record management: Instantly create, update, or delete DNS records—including A, CNAME, TXT, and MX types—across your Cloudflare zones to keep your domains running smoothly.
  • Zone lockdown and security automation: Add or remove Zone Lockdown rules to restrict access to specific URLs and IP ranges, helping you enforce security policies without manual intervention.
  • Ruleset creation and maintenance: Direct your agent to create new rulesets or modify existing ones, ensuring your web applications remain secure and compliant with evolving access requirements.
  • Comprehensive zone administration: Effortlessly delete entire zones or DNSSEC configurations for streamlined domain management and cleanup when needed.
  • Versioned ruleset management: Retrieve specific versions of entry point rulesets, giving you granular control and auditability over your security configurations.

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 step08 STEPS
1

Prerequisites

You will need:

  • A Composio API key
  • An OpenAI API key (used by Autogen's OpenAIChatCompletionClient)
  • A Cloudflare api key account you can connect to Composio
  • Some basic familiarity with Autogen and Python async
2

Getting API Keys for OpenAI and Composio

OpenAI API Key
  • Go to the OpenAI dashboard and create an API key. You'll need credits to use the models, or you can connect to another model provider.
  • Keep the API key safe.
Composio API Key
  • Log in to the Composio dashboard.
  • Navigate to your API settings and generate a new API key.
  • Store this key securely as you'll need it for authentication.
3

Install dependencies

bash
pip install composio python-dotenv
pip install autogen-agentchat autogen-ext-openai autogen-ext-tools

Install Composio, Autogen extensions, and dotenv.

What's happening:

  • composio connects your agent to Cloudflare api key via MCP
  • autogen-agentchat provides the AssistantAgent class
  • autogen-ext-openai provides the OpenAI model client
  • autogen-ext-tools provides MCP workbench support

4

Set up environment variables

bash
COMPOSIO_API_KEY=your-composio-api-key
OPENAI_API_KEY=your-openai-api-key
USER_ID=your-user-identifier@example.com

Create a .env file in your project folder.

What's happening:

  • COMPOSIO_API_KEY is required to talk to Composio
  • OPENAI_API_KEY is used by Autogen's OpenAI client
  • USER_ID is how Composio identifies which user's Cloudflare api key connections to use
5

Import dependencies and create Tool Router session

python
import asyncio
import os
from dotenv import load_dotenv
from composio import Composio

from autogen_agentchat.agents import AssistantAgent
from autogen_ext.models.openai import OpenAIChatCompletionClient
from autogen_ext.tools.mcp import McpWorkbench, StreamableHttpServerParams

load_dotenv()

async def main():
    # Initialize Composio and create a Cloudflare api key session
    composio = Composio(api_key=os.getenv("COMPOSIO_API_KEY"))
    session = composio.create(
        user_id=os.getenv("USER_ID"),
        toolkits=["cloudflare_api_key"]
    )
    url = session.mcp.url
What's happening:
  • load_dotenv() reads your .env file
  • Composio(api_key=...) initializes the SDK
  • create(...) creates a Tool Router session that exposes Cloudflare api key tools
  • session.mcp.url is the MCP endpoint that Autogen will connect to
6

Configure MCP parameters for Autogen

python
# Configure MCP server parameters for Streamable HTTP
server_params = StreamableHttpServerParams(
    url=url,
    timeout=30.0,
    sse_read_timeout=300.0,
    terminate_on_close=True,
    headers={"x-api-key": os.getenv("COMPOSIO_API_KEY")}
)

Autogen expects parameters describing how to talk to the MCP server. That is what StreamableHttpServerParams is for.

What's happening:

  • url points to the Tool Router MCP endpoint from Composio
  • timeout is the HTTP timeout for requests
  • sse_read_timeout controls how long to wait when streaming responses
  • terminate_on_close=True cleans up the MCP server process when the workbench is closed
7

Create the model client and agent

python
# Create model client
model_client = OpenAIChatCompletionClient(
    model="gpt-5",
    api_key=os.getenv("OPENAI_API_KEY")
)

# Use McpWorkbench as context manager
async with McpWorkbench(server_params) as workbench:
    # Create Cloudflare api key assistant agent with MCP tools
    agent = AssistantAgent(
        name="cloudflare_api_key_assistant",
        description="An AI assistant that helps with Cloudflare api key operations.",
        model_client=model_client,
        workbench=workbench,
        model_client_stream=True,
        max_tool_iterations=10
    )

What's happening:

  • OpenAIChatCompletionClient wraps the OpenAI model for Autogen
  • McpWorkbench connects the agent to the MCP tools
  • AssistantAgent is configured with the Cloudflare api key tools from the workbench
8

Run the interactive chat loop

python
print("Chat started! Type 'exit' or 'quit' to end the conversation.\n")
print("Ask any Cloudflare api key related question or task to the agent.\n")

# Conversation loop
while True:
    user_input = input("You: ").strip()

    if user_input.lower() in ["exit", "quit", "bye"]:
        print("\nGoodbye!")
        break

    if not user_input:
        continue

    print("\nAgent is thinking...\n")

    # Run the agent with streaming
    try:
        response_text = ""
        async for message in agent.run_stream(task=user_input):
            if hasattr(message, "content") and message.content:
                response_text = message.content

        # Print the final response
        if response_text:
            print(f"Agent: {response_text}\n")
        else:
            print("Agent: I encountered an issue processing your request.\n")

    except Exception as e:
        print(f"Agent: Sorry, I encountered an error: {str(e)}\n")
What's happening:
  • The script prompts you in a loop with You:
  • Autogen passes your input to the model, which decides which Cloudflare api key tools to call via MCP
  • agent.run_stream(...) yields streaming messages as the agent thinks and calls tools
  • Typing exit, quit, or bye ends the loop

Complete Code

Here's the complete code to get you started with Cloudflare api key and AutoGen:

python
import asyncio
import os
from dotenv import load_dotenv
from composio import Composio

from autogen_agentchat.agents import AssistantAgent
from autogen_ext.models.openai import OpenAIChatCompletionClient
from autogen_ext.tools.mcp import McpWorkbench, StreamableHttpServerParams

load_dotenv()

async def main():
    # Initialize Composio and create a Cloudflare api key session
    composio = Composio(api_key=os.getenv("COMPOSIO_API_KEY"))
    session = composio.create(
        user_id=os.getenv("USER_ID"),
        toolkits=["cloudflare_api_key"]
    )
    url = session.mcp.url

    # Configure MCP server parameters for Streamable HTTP
    server_params = StreamableHttpServerParams(
        url=url,
        timeout=30.0,
        sse_read_timeout=300.0,
        terminate_on_close=True,
        headers={"x-api-key": os.getenv("COMPOSIO_API_KEY")}
    )

    # Create model client
    model_client = OpenAIChatCompletionClient(
        model="gpt-5",
        api_key=os.getenv("OPENAI_API_KEY")
    )

    # Use McpWorkbench as context manager
    async with McpWorkbench(server_params) as workbench:
        # Create Cloudflare api key assistant agent with MCP tools
        agent = AssistantAgent(
            name="cloudflare_api_key_assistant",
            description="An AI assistant that helps with Cloudflare api key operations.",
            model_client=model_client,
            workbench=workbench,
            model_client_stream=True,
            max_tool_iterations=10
        )

        print("Chat started! Type 'exit' or 'quit' to end the conversation.\n")
        print("Ask any Cloudflare api key related question or task to the agent.\n")

        # Conversation loop
        while True:
            user_input = input("You: ").strip()

            if user_input.lower() in ['exit', 'quit', 'bye']:
                print("\nGoodbye!")
                break

            if not user_input:
                continue

            print("\nAgent is thinking...\n")

            # Run the agent with streaming
            try:
                response_text = ""
                async for message in agent.run_stream(task=user_input):
                    if hasattr(message, 'content') and message.content:
                        response_text = message.content

                # Print the final response
                if response_text:
                    print(f"Agent: {response_text}\n")
                else:
                    print("Agent: I encountered an issue processing your request.\n")

            except Exception as e:
                print(f"Agent: Sorry, I encountered an error: {str(e)}\n")

if __name__ == "__main__":
    asyncio.run(main())

Conclusion

You now have an Autogen assistant wired into Cloudflare api key through Composio's Tool Router and MCP. From here you can:
  • Add more toolkits to the toolkits list, for example notion or hubspot
  • Refine the agent description to point it at specific workflows
  • Wrap this script behind a UI, Slack bot, or internal tool
Once the pattern is clear for Cloudflare api key, you can reuse the same structure for other MCP-enabled apps with minimal code changes.
TOOLS

Supported Tools

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

Create DNS Record

Tool to create a new DNS record in a Cloudflare zone.

Create Zone Lockdown Rule

Tool to create a Zone Lockdown rule.

Create Rule in Ruleset

Tool to add a rule to an existing ruleset.

Create Ruleset

Creates a new Cloudflare ruleset at account or zone scope.

Delete DNS Record

Tool to delete a DNS record.

Delete DNSSEC

Tool to delete DNSSEC records for a zone.

Delete Rule from Ruleset

Tool to delete a specific rule from a ruleset.

Delete Ruleset

Tool to delete all versions of a ruleset.

Delete a zone

Tool to delete an existing zone.

Get Cloudflare IP Addresses

Tool to retrieve IP addresses used on the Cloudflare or JD Cloud network.

Get Entrypoint Ruleset Version

Retrieves a specific historical version of an entry point ruleset from Cloudflare.

Get Lockdown Rule

Tool to get a Zone Lockdown rule.

Get Regional Tiered Cache

Tool to get the regional tiered cache setting for a zone.

Get Ruleset

Tool to fetch the latest version of a ruleset by ID.

Get Zone Details

Tool to get details for a specific zone.

List DNS Records

List, search, sort, and filter DNS records for a Cloudflare zone.

List Cloudflare Zones

Tool to list, search, sort, and filter Cloudflare zones.

Overwrite DNS Record

Tool to completely overwrite a DNS record.

Rerun Zone Activation Check

Triggers a new activation check for a zone with 'pending' status.

Update DNSSEC Status

Tool to update DNSSEC configuration for a zone.

Update Lockdown Rule

Tool to update a zone lockdown rule.

Update Rule in Ruleset

Tool to update a specific rule in a ruleset.

Update Ruleset

Update a Cloudflare ruleset, creating a new version.

Update Cloudflare Zone

Tool to edit a Cloudflare zone.

Upload File to S3

Tool to upload arbitrary file content to temporary storage.

FRAMEWORKS

How to build Cloudflare api key MCP Agent with another framework

ChatGPT logo

ChatGPT

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OpenAI Agents SDK logo

OpenAI Agents SDK

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Claude Agent SDK logo

Claude Agent SDK

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Claude Code logo

Claude Code

Use Cloudflare api key MCP with Claude Code

Claude Cowork logo

Claude Cowork

Use Cloudflare api key MCP with Claude Cowork

Codex logo

Codex

Use Cloudflare api key MCP with Codex

Cursor logo

Cursor

Use Cloudflare api key MCP with Cursor

OpenClaw logo

OpenClaw

Use Cloudflare api key MCP with OpenClaw

Hermes logo

Hermes

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CLI logo

CLI

Use Cloudflare api key MCP with CLI

Google ADK logo

Google ADK

Use Cloudflare api key MCP with Google ADK

LangChain logo

LangChain

Use Cloudflare api key MCP with LangChain

Vercel AI SDK logo

Vercel AI SDK

Use Cloudflare api key MCP with Vercel AI SDK

Mastra AI logo

Mastra AI

Use Cloudflare api key MCP with Mastra AI

LlamaIndex logo

LlamaIndex

Use Cloudflare api key MCP with LlamaIndex

CrewAI logo

CrewAI

Use Cloudflare api key MCP with CrewAI

OpenCode logo

OpenCode

Use Cloudflare api key MCP with OpenCode

VS Code logo

VS Code

Use Cloudflare api key MCP with VS Code

FAQ

Frequently asked questions

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

Yes, you can. Autogen 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 api key tools.

Yes, absolutely. You can configure which Cloudflare api key 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 api key data and credentials are handled as safely as possible.

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