How to Use the Crafter CMS MCP in OpenAI Agents SDK

Q: How do I query Crafter CMS data using the OpenAI Agents SDK?

Use the executegraphqlpayload tool within your agent definition. It allows your code to hit the delivery engine directly. You define the query, and the server returns the JSON result.

Q: Can the OpenAI Agents SDK handle Crafter CMS content migrations?

Yes, you trigger publishcraftercontent to push changes to production. Your agent manages the workflow bounds. It moves your studio updates to the delivery engine without manual intervention.

Q: How do I delete nodes in Crafter CMS using the OpenAI Agents SDK?

Call the wipestudioxml tool. It targets specific app nodes to drop database bytes. Use it carefully since it executes changes directly against your studio environment.

Manage your Git-based content pipeline using Crafter CMS and the OpenAI Agents SDK for production-ready automation.

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Connect Crafter CMS MCP to OpenAI Agents SDK

Create your Vinkius account to connect Crafter CMS 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 Crafter CMS with OpenAI Agents SDK

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Execute GraphQL queries in OpenAI Agents SDK

Run `execute_graphql_payload` to pull data directly from your headless Crafter engine. You get the exact response structure back without leaving your Python environment. This bypasses manual API calls. Your agent parses the output immediately to inform the next step in your workflow.

Manage XML content via OpenAI Agents SDK

Use `write_studio_xml` to push new content nodes into your Git hierarchy. You define the payload and the tool handles the structure required by the studio. `wipe_studio_xml` lets you purge specific app nodes if you need to clean up the environment. It's a direct way to modify your instance state.

Deploy changes with OpenAI Agents SDK

Trigger `publish_crafter_content` to move changes from the studio to your delivery engine. Your agent acts as the bridge between your content updates and the live site. This MCP Server provides the hooks needed to automate your releases. You keep the deployment cycle under the control of your agent logic.

Setup guide

Set up Crafter CMS 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 Crafter CMS tools at runtime.
3

Create your Agent

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

Run the agent

Call Runner.run(agent, prompt) to execute. The agent invokes the appropriate Crafter CMS 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="Crafter CMS Agent",
            instructions="You have access to Crafter CMS 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 Crafter CMS. 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 Crafter CMS MCP in OpenAI Agents SDK

Use the `execute_graphql_payload` tool within your agent definition. It allows your code to hit the delivery engine directly. You define the query, and the server returns the JSON result.

Yes, you trigger `publish_crafter_content` to push changes to production. Your agent manages the workflow bounds. It moves your studio updates to the delivery engine without manual intervention.

The server only touches your defined XML nodes and Git structures. It operates within the bounds of your provided endpoint token. No data leaves your infrastructure unless you explicitly send it.

Just pass the server parameters to the agent constructor. The SDK auto-discovers the available tools immediately. You can set cacheToolsList to true for better performance during execution.

Call the `wipe_studio_xml` tool. It targets specific app nodes to drop database bytes. Use it carefully since it executes changes directly against your studio environment.

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