How to Use the Craft CMS (Craftnet) MCP in OpenAI Agents SDK

Run production agents that manage Craft CMS (Craftnet) plugin sales and licenses safely using the OpenAI Agents SDK.

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Connect Craft CMS (Craftnet) MCP to OpenAI Agents SDK

Create your Vinkius account to connect Craft CMS (Craftnet) 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 Craft CMS (Craftnet) with OpenAI Agents SDK

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Validate Craftnet operations in OpenAI Agents SDK

When your agent calls `list_plugin_licenses` or `list_cms_licenses`, this MCP Server feeds data directly into OpenAI's native validation layer. You get clean, pre-checked schemas before any transaction data hits your production database. If an agent tries to pull account details using `get_account_details`, OpenAI's guardrails verify the parameters first. You can trace the entire call path on your OpenAI dashboard, keeping a tight lock on who accesses your developer profile.

Hand off sales analysis to specialized OpenAI agents

Run `list_sales_history` and `list_payout_history` through a specialized financial agent instead of forcing one agent to do everything. Build a coordinator agent that routes tasks to this specialist when it detects a request to read plugin earnings. This handoff happens behind the scenes. The secondary agent processes the numbers, sends the summary back, and shuts down, keeping your Craftnet developer credentials isolated from public-facing chat components.

Audit Craft Store search safely in production

Call `search_plugins_by_name` and `get_plugin_details` to let your support agent answer customer compatibility questions on the fly. Because this MCP integration runs on the OpenAI Agents SDK, every tool call leaves a clean audit trail in your tracing logs. You see exactly what keywords customers ask for and what plugin metadata the tool returns. It makes debugging failed searches simple because you can replay the exact payload without guessing what the model saw.

Setup guide

Set up Craft CMS (Craftnet) 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 Craft CMS (Craftnet) tools at runtime.
3

Create your Agent

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

Run the agent

Call Runner.run(agent, prompt) to execute. The agent invokes the appropriate Craft CMS (Craftnet) 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="Craft CMS (Craftnet) Agent",
            instructions="You have access to Craft CMS (Craftnet) tools.",
            mcp_servers=[server],
        )
        result = await Runner.run(agent, "List recent transactions")
        print(result.final_output)

asyncio.run(main())

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Independent Platform Disclaimer: Vinkius is an independent platform and is not affiliated with, endorsed by, sponsored by, verified by, or otherwise authorized by Craftnet. All third-party trademarks, logos, and brand names are the property of their respective owners. Their use on this website is strictly for informational purposes to identify service compatibility and interoperability.

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Common questions about Craft CMS (Craftnet) MCP in OpenAI Agents SDK

You let Vinkius manage the authentication tokens. Pass the host URL to your `MCPServerStreamableHttp` client, and your OpenAI Agents SDK setup will securely call MCP tools like `list_cms_licenses` without hardcoding API keys in your Python code.

Yes, you control this at the agent definition level. Define a specific agent that only has access to `list_plugins` and `get_plugin_details`, preventing it from ever touching sensitive financial tools like your payout history.

Use the OpenAI developer dashboard to trace the active run. You can inspect the exact JSON payload sent to `list_sales_history` to see if the error was a bad date parameter or an expired credential.

It does. You can write a polling loop in Python that triggers `list_sales_history` through your agent, using OpenAI's structured outputs to clean up the data for a Slack alert.

Your license keys, payout logs, and sales histories never touch external storage. The Vinkius sandbox acts as an ephemeral bridge, executing tools like `list_plugin_licenses` in a zero-trust environment and returning the raw API response straight to your OpenAI Agents SDK runtime.

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