How to Use the Webiny CMS MCP in OpenAI Agents SDK

Q: How do I list all articles using Webiny CMS and OpenAI Agents SDK?

To see everything, call listmodelentries. You just need to provide the plural model name, 'Articles', and set the apitype to read if you want live content.

Q: Can I get details on a specific revision using Webiny CMS and OpenAI Agents SDK?

Absolutely. Use getmodelentrydetails. You pass in the ID that refers to the exact content revision, and the tool returns all the associated data.

Q: What if I need to delete a draft entry from Webiny CMS using OpenAI Agents SDK?

The deletecmsentry function handles this. Just be warned: this action is irreversible, so make sure your agent confirms the deletion before proceeding.

Q: What are the different API types available for Webiny CMS and OpenAI Agents SDK?

When using executegraphqlquery, you choose between 'manage', 'read', or 'preview' for your apitype. This tells the system what kind of operation the agent is authorized to run.

Manage Webiny CMS content and workflows reliably using your OpenAI Agents SDK agent.

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Connect Webiny CMS MCP to OpenAI Agents SDK

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

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Drafting and Updating Content Entries

The `create_cms_entry` tool lets you build new drafts for any content model. You pass the singular model name and all field data as a JSON object, getting your entry ready for review. You can update existing entries too. Use `update_cms_entry` when you need to change fields on an already drafted revision ID by passing both the entry ID and a new JSON payload.

Executing Raw GraphQL Queries

`execute_graphql_query` gives your agent full access to run raw queries or mutations against Webiny CMS. You specify whether you're managing, reading live data, or just previewing the result, plus the locale. Need something specific? Don't worry; you can also call `get_api_introspection` first. This retrieves the entire GraphQL schema so your agent knows exactly what operations are possible.

Listing and Publishing Content Models

`list_model_entries` fetches all entries for a model you specify, whether they're live or just drafts. You pass the plural model name (like 'Articles') and tell it if you want to manage drafts or read published content. Once your agent has finished editing, `publish_cms_entry` makes that draft available through the 'read' API using a specific revision ID.

Setup guide

Set up Webiny 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 Webiny CMS tools at runtime.
3

Create your Agent

Pass the MCP to Agent(mcp_servers=[server]). The agent receives Webiny 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 Webiny 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="Webiny CMS Agent",
            instructions="You have access to Webiny CMS 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 Webiny CMS MCP in OpenAI Agents SDK

To see everything, call `list_model_entries`. You just need to provide the plural model name, 'Articles', and set the `api_type` to read if you want live content.

Absolutely. Use `get_model_entry_details`. You pass in the ID that refers to the exact content revision, and the tool returns all the associated data.

The `delete_cms_entry` function handles this. Just be warned: this action is irreversible, so make sure your agent confirms the deletion before proceeding.

When using `execute_graphql_query`, you choose between 'manage', 'read', or 'preview' for your `api_type`. This tells the system what kind of operation the agent is authorized to run.

This server manages Content Model Field Data. The tools allow you to read, write, update, and delete drafts and published content entries within the system.

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