Patchstack Security MCP Server for LangChain 9 tools — connect in under 2 minutes
LangChain is the leading Python framework for composable LLM applications. Connect Patchstack Security through Vinkius and LangChain agents can call every tool natively. combine them with retrievers, memory, and output parsers for sophisticated AI pipelines.
ASK AI ABOUT THIS MCP SERVER
Vinkius supports streamable HTTP and SSE.
import asyncio
from langchain_mcp_adapters.client import MultiServerMCPClient
from langchain_openai import ChatOpenAI
from langgraph.prebuilt import create_react_agent
async def main():
# Your Vinkius token. get it at cloud.vinkius.com
async with MultiServerMCPClient({
"patchstack-security": {
"transport": "streamable_http",
"url": "https://edge.vinkius.com/[YOUR_TOKEN_HERE]/mcp",
}
}) as client:
tools = client.get_tools()
agent = create_react_agent(
ChatOpenAI(model="gpt-4o"),
tools,
)
response = await agent.ainvoke({
"messages": [{
"role": "user",
"content": "Using Patchstack Security, show me what tools are available.",
}]
})
print(response["messages"][-1].content)
asyncio.run(main())
* 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.
LangChain's ecosystem of 500+ components combines seamlessly with Patchstack Security through native MCP adapters. Connect 9 tools via Vinkius and use ReAct agents, Plan-and-Execute strategies, or custom agent architectures. with LangSmith tracing giving full visibility into every tool call, latency, and token cost.
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 LangChain 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 LangChain via MCP
Follow these steps to integrate the Patchstack Security MCP Server with LangChain.
Install dependencies
Run pip install langchain langchain-mcp-adapters langgraph langchain-openai
Replace the token
Replace [YOUR_TOKEN_HERE] with your Vinkius token
Run the agent
Save the code and run python agent.py
Explore tools
The agent discovers 9 tools from Patchstack Security via MCP
Why Use LangChain with the Patchstack Security MCP Server
LangChain provides unique advantages when paired with Patchstack Security through the Model Context Protocol.
The largest ecosystem of integrations, chains, and agents. combine Patchstack Security MCP tools with 500+ LangChain components
Agent architecture supports ReAct, Plan-and-Execute, and custom strategies with full MCP tool access at every step
LangSmith tracing gives you complete visibility into tool calls, latencies, and token usage for production debugging
Memory and conversation persistence let agents maintain context across Patchstack Security queries for multi-turn workflows
Patchstack Security + LangChain Use Cases
Practical scenarios where LangChain combined with the Patchstack Security MCP Server delivers measurable value.
RAG with live data: combine Patchstack Security tool results with vector store retrievals for answers grounded in both real-time and historical data
Autonomous research agents: LangChain agents query Patchstack Security, synthesize findings, and generate comprehensive research reports
Multi-tool orchestration: chain Patchstack Security tools with web scrapers, databases, and calculators in a single agent run
Production monitoring: use LangSmith to trace every Patchstack Security tool call, measure latency, and optimize your agent's performance
Patchstack Security MCP Tools for LangChain (9)
These 9 tools become available when you connect Patchstack Security to LangChain 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 LangChain
Ready-to-use prompts you can give your LangChain 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 LangChain
Common issues when connecting Patchstack Security to LangChain through the Vinkius, and how to resolve them.
MultiServerMCPClient not found
pip install langchain-mcp-adaptersPatchstack Security + LangChain FAQ
Common questions about integrating Patchstack Security MCP Server with LangChain.
How does LangChain connect to MCP servers?
langchain-mcp-adapters to create an MCP client. LangChain discovers all tools and wraps them as native LangChain tools compatible with any agent type.Which LangChain agent types work with MCP?
Can I trace MCP tool calls in LangSmith?
Connect Patchstack Security with your favorite client
Step-by-step setup guides for every MCP-compatible client and framework:
Anthropic's native desktop app for Claude with built-in MCP support.
AI-first code editor with integrated LLM-powered coding assistance.
GitHub Copilot in VS Code with Agent mode and MCP support.
Purpose-built IDE for agentic AI coding workflows.
Autonomous AI coding agent that runs inside VS Code.
Anthropic's agentic CLI for terminal-first development.
Python SDK for building production-grade OpenAI agent workflows.
Google's framework for building production AI agents.
Type-safe agent development for Python with first-class MCP support.
TypeScript toolkit for building AI-powered web applications.
TypeScript-native agent framework for modern web stacks.
Python framework for orchestrating collaborative AI agent crews.
Leading Python framework for composable LLM applications.
Data-aware AI agent framework for structured and unstructured sources.
Microsoft's framework for multi-agent collaborative conversations.
Connect Patchstack Security to LangChain
Get your token, paste the configuration, and start using 9 tools in under 2 minutes. No API key management needed.