How to Use the WordPress Plugin Auditor MCP in AutoGen

Q: How do I use the WordPress Plugin Auditor with AutoGen?

You give auditwordpressplugins to your AssistantAgent constructor. The agents read the resulting list and then debate potential actions, like which plugins should be updated or removed.

Let multiple agents debate WordPress plugin risks using AutoGen's conversation framework.

See Vinkius in Action

Works with every AI agent you already use

…and any MCP-compatible client

MCP Servers - Free for Subscribers

Connect WordPress Plugin Auditor MCP to AutoGen

Create your Vinkius account to connect WordPress Plugin Auditor 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.

GDPR Free for Subscribers

Setup WordPress Plugin Auditor with AutoGen

Ask AI about this MCP

ChatGPT

Claude

Perplexity

Automated Auditing with the MCP Server

The `audit_wordpress_plugins` tool gathers a manifest of all installed plugins, including name, version, author, and active/inactive status. You pass this initial data to your AutoGen conversation. Multiple agents can then debate what these results mean. A 'Security Agent' might flag an old plugin; a 'Performance Agent' might challenge if that plugin is actually needed.

Consensus-Driven Decision Making

AutoGen excels when the answer isn't obvious. When you run `audit_wordpress_plugins`, don't just accept the list. Let your agents argue over which plugins pose the biggest risk based on their specialized roles. The system converges on a final recommendation—a consensus decision—that addresses competing concerns like speed versus security.

Handling Plugin Status Reports

The tool provides critical status information: name, version, author, and active/inactive state. This structured input allows your AutoGen agents to develop complex arguments. For instance, one agent can confirm that all plugins are running, while another might argue that the presence of an inactive plugin still represents a potential vulnerability.

Setup guide

Set up WordPress Plugin Auditor 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 Plugin Auditor 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 Plugin Auditor_assistant",
    model_client=OpenAIChatCompletionClient(model="gpt-4o"),
    tools=tools,
)

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

Get your connection token →

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 Plugin Auditor_assistant",
        model_client=OpenAIChatCompletionClient(model="gpt-4o"),
        workbench=workbench,
    )

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

Get your connection token →

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.

Why Choose Vinkius

Vinkius connects your tools to AI with real-time monitoring and automatic cost savings — all from one dashboard.

Connect WordPress Plugin Auditor now

Real-time monitoring

Live

visibility into every interaction

Connect your favorite tools to your AI and see exactly what's happening — every request, every response, in real time.

Built-in savings

60%

lower AI costs

Vinkius compresses data between your apps and your AI automatically. Lower bills every month — no configuration required.

Single dashboard

One

place for every integration

Every tool your AI connects to, managed from a single screen. One account, complete control.

Common questions about WordPress Plugin Auditor MCP in AutoGen

You give `audit_wordpress_plugins` to your AssistantAgent constructor. The agents read the resulting list and then debate potential actions, like which plugins should be updated or removed.

Yes. You set up different agent roles—say, 'Risk Manager' and 'Developer'—and have them debate the findings from `audit_wordpress_plugins` to reach a final, negotiated risk score.

It provides the plugin name, version number, author, and operational status. This raw metadata is what fuels the discussion among your agents in AutoGen.

Yes. Because it's a conversation framework, you can feed the results into different agent discussions—one focused on security, another on cost, and a third on maintenance.

This MCP Server touches plugin metadata (name, version, author). The discussion remains focused solely on analyzing this structural information, keeping private site content separate from the audit process.

Use it with your favorite AI tools

Connect this server to Cursor, Claude, VS Code, and more.

OpenAI Agents SDK sdk-python

Google ADK sdk-python

Pydantic AI sdk-python

Vercel AI SDK sdk-typescript