How to Use the WordPress Plugin Auditor MCP in Pydantic AI

Guaranteed correct plugin audit data using the Pydantic AI framework.

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Connect WordPress Plugin Auditor MCP to Pydantic AI

Create your Vinkius account to connect WordPress Plugin Auditor to Pydantic AI 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 WordPress Plugin Auditor with Pydantic AI

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Reliable Plugin Inventory with WordPress Plugin Auditor

The `audit_wordpress_plugins` tool gives your agent a list of installed plugins, along with their name, version, author, and status. Crucially, Pydantic validates this output against strict models. This means when the data comes back, you know it's correct—no silent corruption or hallucinated fields to worry about.

Structured Reporting using WordPress Plugin Auditor

Need to generate a maintenance report? The tool collects all installed plugins and their status. By passing this through Pydantic, you ensure the resulting data structure is always reliable. It guarantees fields for name, version, author, and operational status, making your subsequent logic foolproof.

Validated Plugin Status Checks via WordPress Plugin Auditor

Running `audit_wordpress_plugins` gives you the raw metadata: name, version, author, and if the plugin is active or inactive. Pydantic locks down this structure for maximum type safety. If the API tries to give you unexpected data, your agent fails loudly, so you always know when something's wrong.

Setup guide

Set up WordPress Plugin Auditor MCP in Pydantic AI

Prerequisites

Python 3.10+ installed
pydantic-ai-slim[fastmcp] package
Active Vinkius subscription with a valid endpoint token

1

Install Pydantic AI with FastMCP
Run pip install "pydantic-ai-slim[fastmcp]". The FastMCP toolset replaces the deprecated MCPServerHTTP class with full protocol support.
2

Configure the FastMCPToolset
Pass a JSON-style config dict to FastMCPToolset with your Vinkius URL. Replace [YOUR_TOKEN_HERE] with your token from cloud.vinkius.com. Supports Streamable HTTP, SSE, and Stdio transports.
3

Create and run your agent
Pass the toolset to Agent(toolsets=[toolset]) and call agent.run(). Swap openai:gpt-4o for any supported model — Anthropic, Google, Mistral, or Groq.

agent.py

from pydantic_ai import Agent
from pydantic_ai.toolsets.fastmcp import FastMCPToolset

toolset = FastMCPToolset({
    "mcpServers": {
        "wordpress-plugin-auditor-mcp": {
            "url": "https://edge.vinkius.com/[YOUR_TOKEN_HERE]/mcp"
        }
    }
})

agent = Agent(
    "openai:gpt-4o",
    toolsets=[toolset],
    system_prompt="You have access to WordPress Plugin Auditor tools.",
)

result = await agent.run("List recent WordPress Plugin Auditor transactions")
print(result.output)

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Common questions about WordPress Plugin Auditor MCP in Pydantic AI

The tool provides the audit data (name, version, author, status), and Pydantic ensures that this output conforms perfectly to your defined Python models at runtime. You get guaranteed correctness.

It provides the name, version number, author, and operational status (active/inactive) for every installed plugin. These structured fields are perfect for Pydantic validation.

Yes. It provides the raw data you need, and by using Pydantic, your agent can process that information knowing it's type-safe—it’s all about correctness here.

Absolutely. The tool checks and returns the active/inactive status for every plugin, and Pydantic validates that this boolean status field is present and correctly typed.

The server touches public metadata about installed plugins: names, versions, authors, and operational status. No private user content is involved in the audit.

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