How to Use the Cloudflare Alternative MCP in OpenAI Agents SDK

Q: Does this Cloudflare Alternative support caching for OpenAI Agents SDK?

Yes. Set cacheToolsList=True during initialization. This prevents the SDK from requesting the tool definitions on each run, reducing latency.

Q: How do I list my active workers?

Use the listworkers tool. Your agent needs your Cloudflare account ID, which it uses to return a list of all deployed scripts, their resource usage, and their current bindings.

Control your CDN and DNS directly from your OpenAI Agents SDK pipelines with built-in guardrails and automatic tool discovery.

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Connect Cloudflare Alternative MCP to OpenAI Agents SDK

Create your Vinkius account to connect Cloudflare Alternative to OpenAI Agents SDK and route execution through our secure gateway. The platform manages server hosting, runtime updates, and security layers. Configuration requires no manual server provisioning.

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Setup Cloudflare Alternative with OpenAI Agents SDK

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Automated DNS updates with OpenAI Agents SDK safety

This Cloudflare Alternative MCP Server exposes DNS management tools like `create_dns_record` and `update_dns_record` directly to your OpenAI agents. When your OpenAI agent detects a down origin, it triggers the DNS update tool to point traffic to a backup IP. The OpenAI Agents SDK runs these tools through your configured safety guardrails. You verify the DNS changes in the OpenAI tracing dashboard before the agent commits the record update, preventing accidental routing loops.

Edge configuration updates via KV namespace tools

These MCP tools, including `put_kv_value` and `get_kv_value`, allow your OpenAI agents to modify worker settings on the fly. Your OpenAI agent reads current feature flags from a specific namespace and alters worker behavior instantly. By using `list_kv_namespaces` first, your OpenAI agent locates the correct target container. This setup avoids manual dashboard clicking when you need your OpenAI agent to toggle a system-wide maintenance mode during deployments.

Audit firewall rules and CDN traffic spikes

Security auditing tools like `list_firewall_rules` and `get_zone_analytics` feed real-time threat metrics directly into your OpenAI agent's context window. The OpenAI agent scans recent block events and analyzes traffic patterns to identify malicious IPs. If it spots an active attack, the OpenAI agent flags the IP ranges. You can then instruct the OpenAI agent to run the corresponding block actions, keeping your origin servers protected without writing custom scripts.

Setup guide

Set up Cloudflare Alternative MCP in OpenAI Agents SDK

Prerequisites

Python 3.10+ installed
openai-agents package (pip install openai-agents)
Active Vinkius subscription with a valid endpoint token

1

Install the SDK

Run pip install openai-agents to install the OpenAI Agents SDK. The MCP integration is built-in — no extra dependencies needed.
2

Connect via SSE transport

Use MCPServerSse with your Vinkius endpoint URL. Replace [YOUR_TOKEN_HERE] with your token from cloud.vinkius.com. The SDK auto-discovers all Cloudflare Alternative tools at runtime.
3

Create your Agent

Pass the MCP to Agent(mcp_servers=[server]). The agent receives Cloudflare Alternative tools as native definitions — JSON schemas resolve automatically.
4

Run the agent

Call Runner.run(agent, prompt) to execute. The agent invokes the appropriate Cloudflare Alternative tools and returns structured results. Copy the full example on the right to get started.

agent.py

import asyncio
from agents import Agent, Runner
from agents.mcp import MCPServerSse

async def main():
    async with MCPServerSse(
        url="https://edge.vinkius.com/[YOUR_TOKEN_HERE]/mcp"
    ) as server:
        agent = Agent(
            name="Cloudflare Alternative Agent",
            instructions="You have access to Cloudflare Alternative tools.",
            mcp_servers=[server],
        )
        result = await Runner.run(agent, "List recent transactions")
        print(result.final_output)

asyncio.run(main())

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Common questions about Cloudflare Alternative MCP in OpenAI Agents SDK

Install the package via pip and initialize the streamable HTTP server parameters. Pass the server instance directly to your agent constructor, and the model will automatically find the tools.

Yes, because the SDK supports strict guardrails. You can intercept tools like `update_dns_record` before execution, forcing a human-in-the-loop approval step in your Python code.

Yes. Set `cacheToolsList=True` during initialization. This prevents the SDK from requesting the tool definitions on each run, reducing latency.

Use the `list_workers` tool. Your agent needs your Cloudflare account ID, which it uses to return a list of all deployed scripts, their resource usage, and their current bindings.

Your DNS records and KV namespace values are protected because this MCP server runs in a zero-trust V8 isolate sandbox. The connection is ephemeral, meaning your credentials never touch external logs or persistent storage.

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