Where do I find my Patchstack User Token?

Log in to the [**Patchstack App**](https://app.patchstack.com/), navigate to **Account Settings** > **Integrations**, and you will find your unique User Token there.

Does this tool work with the free Patchstack database?

Yes, you can search for general vulnerability data. However, retrieving site-specific software overviews and alerts requires a Patchstack account with the appropriate monitoring subscription.

Patchstack Security MCP Server for Pydantic AI 9 tools — connect in under 2 minutes

Name: Patchstack Security
Availability: InStock
Author: Vinkius

ai.pydantic.dev/mcp

Built by Vinkius GDPR 9 Tools SDK

Pydantic AI brings type-safe agent development to Python with first-class MCP support. Connect Patchstack Security through Vinkius and every tool is automatically validated against Pydantic schemas. catch errors at build time, not in production.

Get MCP Server for AI Agents

ASK AI ABOUT THIS MCP SERVER

Open in ChatGPT Open in Claude Open in Perplexity

Vinkius supports streamable HTTP and SSE.

python

import asyncio
from pydantic_ai import Agent
from pydantic_ai.mcp import MCPServerHTTP

async def main():
    # Your Vinkius token. get it at cloud.vinkius.com
    server = MCPServerHTTP(url="https://edge.vinkius.com/[YOUR_TOKEN_HERE]/mcp")

    agent = Agent(
        model="openai:gpt-4o",
        mcp_servers=[server],
        system_prompt=(
            "You are an assistant with access to Patchstack Security "
            "(9 tools)."
        ),
    )

    result = await agent.run(
        "What tools are available in Patchstack Security?"
    )
    print(result.data)

asyncio.run(main())

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* Every MCP server runs on Vinkius-managed infrastructure inside AWS - a purpose-built runtime with per-request V8 isolates, Ed25519 signed audit chains, and sub-40ms cold starts optimized for native MCP execution. See our infrastructure

About Patchstack Security MCP Server

Connect your AI agent to Patchstack, the leading security platform for WordPress and PHP applications. This integration allows you to oversee the security status of all your monitored sites, track known vulnerabilities in plugins and themes, and audit security alerts through natural conversation.

Pydantic AI validates every Patchstack Security tool response against typed schemas, catching data inconsistencies at build time. Connect 9 tools through Vinkius and switch between OpenAI, Anthropic, or Gemini without changing your integration code. full type safety, structured output guarantees, and dependency injection for testable agents.

What you can do

Software Oversight — Get a comprehensive overview of all plugins, themes, and core versions across your monitored sites
Threat Intelligence — Search the massive Patchstack database for known vulnerabilities in specific WordPress components
Live Alerts — Retrieve the latest security alerts and triggered firewall rules to stay ahead of attacks
Site Auditing — List and inspect individual sites to check their security scores and vulnerability counts
Auto-Update Management — Review your settings for automatic security patching of vulnerable components

The Patchstack Security MCP Server exposes 9 tools through the Vinkius. Connect it to Pydantic AI in under two minutes — no API keys to rotate, no infrastructure to provision, no vendor lock-in. Your configuration, your data, your control.

How to Connect Patchstack Security to Pydantic AI via MCP

Follow these steps to integrate the Patchstack Security MCP Server with Pydantic AI.

Install Pydantic AI

Run pip install pydantic-ai

Replace the token

Replace [YOUR_TOKEN_HERE] with your Vinkius token

Run the agent

Save to agent.py and run: python agent.py

Explore tools

The agent discovers 9 tools from Patchstack Security with type-safe schemas

Why Use Pydantic AI with the Patchstack Security MCP Server

Pydantic AI provides unique advantages when paired with Patchstack Security through the Model Context Protocol.

Full type safety: every MCP tool response is validated against Pydantic models, catching data inconsistencies before they reach your application

Model-agnostic architecture. switch between OpenAI, Anthropic, or Gemini without changing your Patchstack Security integration code

Structured output guarantee: Pydantic AI ensures tool results conform to defined schemas, eliminating runtime type errors

Dependency injection system cleanly separates your Patchstack Security connection logic from agent behavior for testable, maintainable code

Patchstack Security + Pydantic AI Use Cases

Practical scenarios where Pydantic AI combined with the Patchstack Security MCP Server delivers measurable value.

Type-safe data pipelines: query Patchstack Security with guaranteed response schemas, feeding validated data into downstream processing

API orchestration: chain multiple Patchstack Security tool calls with Pydantic validation at each step to ensure data integrity end-to-end

Production monitoring: build validated alert agents that query Patchstack Security and output structured, schema-compliant notifications

Testing and QA: use Pydantic AI's dependency injection to mock Patchstack Security responses and write comprehensive agent tests

Patchstack Security MCP Tools for Pydantic AI (9)

These 9 tools become available when you connect Patchstack Security to Pydantic AI via MCP:

get_autoupdate_settings

Retrieve settings for automatic updates of vulnerable components

get_component_vulnerabilities

Retrieve all known vulnerabilities for a specific component

get_latest_alerts

Retrieve the latest security alerts and triggered rules

get_latest_vulnerabilities

Retrieve the latest vulnerabilities added to the database

get_site_software

Retrieve a list of all software installed on a specific site

get_software_overview

Retrieve a security overview of all software across your sites

get_vulnerability_details

Get detailed information for a specific vulnerability

list_sites

Retrieve a list of all sites monitored by Patchstack

search_vulnerabilities

Search the Patchstack vulnerability database

Example Prompts for Patchstack Security in Pydantic AI

Ready-to-use prompts you can give your Pydantic AI agent to start working with Patchstack Security immediately.

"List all my monitored sites in Patchstack."

"Search for vulnerabilities in the 'Contact Form 7' plugin."

Troubleshooting Patchstack Security MCP Server with Pydantic AI

Common issues when connecting Patchstack Security to Pydantic AI through the Vinkius, and how to resolve them.

MCPServerHTTP not found

Update: pip install --upgrade pydantic-ai

Patchstack Security + Pydantic AI FAQ

Common questions about integrating Patchstack Security MCP Server with Pydantic AI.

How does Pydantic AI discover MCP tools?

Create an MCPServerHTTP instance with the server URL. Pydantic AI connects, discovers all tools, and generates typed Python interfaces automatically.

Does Pydantic AI validate MCP tool responses?

Yes. When you define result types as Pydantic models, every tool response is validated against the schema. Invalid data raises a clear error instead of silently corrupting your pipeline.

Can I switch LLM providers without changing MCP code?

Absolutely. Pydantic AI abstracts the model layer. your Patchstack Security MCP integration works identically with OpenAI, Anthropic, Google, or any supported provider.