How to Use the WordPress MCP in AutoGen

Q: Can AutoGen check user roles in WordPress?

The agents use listsiteusers to pull all registered users. They then debate who should have specific roles (editor, subscriber) based on the business rules you provide for the conversation.

Q: What about media assets when using AutoGen with WordPress?

The agents can discuss which images are needed by calling listmediaattachments. They debate the best fit and confirm the correct asset ID before proceeding with content creation.

Run consensus-driven decision making with AutoGen agents that manage WordPress content.

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Connect WordPress MCP to AutoGen

Create your Vinkius account to connect WordPress to AutoGen 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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Debating Content Strategy via MCP Server

The system can simulate a debate on publishing new content. Agent A might use `list_site_categories` to suggest grouping, while Agent B uses `create_cms_post` to draft the title and body. They argue until they agree on the final structure, which you then commit using `update_cms_post`.

Reviewing User Permissions with AutoGen

You can set up two agents: an Auditor and a Content Creator. The Auditor runs `list_site_users`, flagging accounts that shouldn't have publishing rights. The Creator then proposes changes, which the system debates for security compliance. This forces deliberation before any action is taken on user data.

Managing Site Pages with AutoGen

Agents can collaborate to ensure consistency across static pages. One agent calls `list_static_pages` to gather the current list, and a second agent proposes necessary updates using `update_cms_post` on specific page IDs. The discussion converges on the best practice for maintaining evergreen content.

Setup guide

Set up WordPress MCP in AutoGen

Prerequisites

Python 3.10+ installed
autogen-ext[mcp] package
Active Vinkius subscription with a valid endpoint token

1

Install AutoGen with MCP
Run pip install "autogen-ext[mcp]" autogen-agentchat. The MCP extension includes mcp_server_tools for stateless tool access.
2

Fetch tools from the MCP
Call mcp_server_tools(SseServerParams(url=...)) with your Vinkius endpoint. Replace [YOUR_TOKEN_HERE] with your token from cloud.vinkius.com.
3

Run your agent
Pass the tools to AssistantAgent and call agent.run(). The agent invokes WordPress tools and returns structured results.

agent.py

from autogen_ext.tools.mcp import SseServerParams, mcp_server_tools
from autogen_agentchat.agents import AssistantAgent
from autogen_ext.models.openai import OpenAIChatCompletionClient

server_params = SseServerParams(
    url="https://edge.vinkius.com/[YOUR_TOKEN_HERE]/mcp"
)

tools = await mcp_server_tools(server_params)

agent = AssistantAgent(
    name="WordPress_assistant",
    model_client=OpenAIChatCompletionClient(model="gpt-4o"),
    tools=tools,
)

result = await agent.run("List recent WordPress data")
print(result.messages[-1].content)

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Prerequisites

Python 3.10+ installed
autogen-ext[mcp] + autogen-agentchat
Active Vinkius subscription with a valid endpoint token

1

Install dependencies
Same packages as above. McpWorkbench is ideal when your agent needs stateful sessions across multiple tool calls.
2

Use McpWorkbench as context manager
Wrap your agent in async with McpWorkbench(...) to maintain shared state and resources. The workbench manages the full MCP session lifecycle.
3

Run with workbench
Pass workbench=workbench to your agent. State is preserved across multiple tool calls within the same session.

agent.py

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

server_params = SseServerParams(
    url="https://edge.vinkius.com/[YOUR_TOKEN_HERE]/mcp"
)

async with McpWorkbench(server_params) as workbench:
    agent = AssistantAgent(
        name="WordPress_assistant",
        model_client=OpenAIChatCompletionClient(model="gpt-4o"),
        workbench=workbench,
    )

    result = await agent.run("List recent WordPress data")
    print(result.messages[-1].content)

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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 WordPress. 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 WordPress MCP in AutoGen

You assign two agents: a Reporter and an Editor. The Reporter uses `create_cms_post` to draft initial material, and the Editor reviews it via debate before marking it ready for publication.

Yes. An agent can be tasked with reviewing old content using `get_post_details`. After deliberation on whether deletion is necessary, the system executes `delete_cms_post`.

The agents use `list_site_users` to pull all registered users. They then debate who should have specific roles (editor, subscriber) based on the business rules you provide for the conversation.

The agents can discuss which images are needed by calling `list_media_attachments`. They debate the best fit and confirm the correct asset ID before proceeding with content creation.

Since agents deliberate, you can build a consensus layer that validates access to user roles (`list_site_users`) and sensitive post metadata. The debate ensures no critical action occurs without multiple checks.

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