Can I create a new article draft using my agent?

Yes. Use the `create_cms_article` tool by providing a title, alias, category ID, and the HTML content. Your agent will generate the article in Joomla, allowing you to publish content without opening the admin panel.

How do I find the correct Category ID for a new article?

Ask your agent to `list_global_categories`. It will return a list of all available categories on your Joomla site along with their unique numerical IDs, making it easy to map your new content accurately.

Can my agent check the site's menu structure?

Absolutely. Use the `list_site_menus` tool to retrieve all configured menus and menu items. This is useful for auditing navigation links and ensuring your site layout is consistent with your content hierarchy.

Joomla (Open-Source CMS) MCP Server for LangChain 10 tools — connect in under 2 minutes

Name: Joomla (Open-Source CMS)
Availability: InStock
Author: Vinkius

python.langchain.com/docs/integrations/tools/mcp

Built by Vinkius GDPR 10 Tools Framework

LangChain is the leading Python framework for composable LLM applications. Connect Joomla (Open-Source CMS) through Vinkius and LangChain agents can call every tool natively. combine them with retrievers, memory, and output parsers for sophisticated AI pipelines.

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 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({
        "joomla-open-source-cms": {
            "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 Joomla (Open-Source CMS), show me what tools are available.",
            }]
        })
        print(response["messages"][-1].content)

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 Joomla (Open-Source CMS) MCP Server

Connect your Joomla site to any AI agent and take full control of your content management and digital publication lifecycle through natural conversation.

LangChain's ecosystem of 500+ components combines seamlessly with Joomla (Open-Source CMS) through native MCP adapters. Connect 10 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

Article Orchestration — List, retrieve, and create new content articles directly from your agent, including support for custom titles, aliases, and HTML introtext
Categorization & Taxonomy — Manage global content categories and system tags to ensure your articles are accurately mapped and organized
Structural Audit — Extract detailed information about site menus and menu items to understand your website's navigation hierarchy and layout
User Management — List registered platform users and monitor roles to understand team distribution across your Joomla instance
Marketing & Banners — Enumerate active advertising banners and tracking modules to monitor your site's promotional performance
Content Lifecycle — Update or irreversibly delete specific CMS articles to maintain a fresh and optimized digital storefront

The Joomla (Open-Source CMS) MCP Server exposes 10 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 Joomla (Open-Source CMS) to LangChain via MCP

Follow these steps to integrate the Joomla (Open-Source CMS) 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 10 tools from Joomla (Open-Source CMS) via MCP

Why Use LangChain with the Joomla (Open-Source CMS) MCP Server

LangChain provides unique advantages when paired with Joomla (Open-Source CMS) through the Model Context Protocol.

The largest ecosystem of integrations, chains, and agents. combine Joomla (Open-Source CMS) 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 Joomla (Open-Source CMS) queries for multi-turn workflows

Joomla (Open-Source CMS) + LangChain Use Cases

Practical scenarios where LangChain combined with the Joomla (Open-Source CMS) MCP Server delivers measurable value.

RAG with live data: combine Joomla (Open-Source CMS) tool results with vector store retrievals for answers grounded in both real-time and historical data

Autonomous research agents: LangChain agents query Joomla (Open-Source CMS), synthesize findings, and generate comprehensive research reports

Multi-tool orchestration: chain Joomla (Open-Source CMS) tools with web scrapers, databases, and calculators in a single agent run

Production monitoring: use LangSmith to trace every Joomla (Open-Source CMS) tool call, measure latency, and optimize your agent's performance

Joomla (Open-Source CMS) MCP Tools for LangChain (10)

These 10 tools become available when you connect Joomla (Open-Source CMS) to LangChain via MCP:

create_cms_article

Requires title, alias, category ID, and HTML introtext. Create a new Joomla article

delete_cms_article

Delete a Joomla article

get_article_details

Get details for a specific Joomla article

list_active_banners

List Joomla banners

list_global_categories

List Joomla categories

list_platform_users

List Joomla users

list_site_articles

You can optional pass query parameters like filter[state]=1. List Joomla articles

list_site_menus

List Joomla site menus

list_system_tags

List Joomla tags

patch_cms_article

Update an existing Joomla article

Example Prompts for Joomla (Open-Source CMS) in LangChain

Ready-to-use prompts you can give your LangChain agent to start working with Joomla (Open-Source CMS) immediately.

"List the last 5 articles from my Joomla site"

"Create a new article titled 'AI in CMS' in the 'Technology' category (ID: 5)"

"What are the active categories on our site?"

Troubleshooting Joomla (Open-Source CMS) MCP Server with LangChain

Common issues when connecting Joomla (Open-Source CMS) to LangChain through the Vinkius, and how to resolve them.

MultiServerMCPClient not found

Install: pip install langchain-mcp-adapters

Joomla (Open-Source CMS) + LangChain FAQ

Common questions about integrating Joomla (Open-Source CMS) MCP Server with LangChain.

How does LangChain connect to MCP servers?

Use 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?

All agent types including ReAct, OpenAI Functions, and custom agents work with MCP tools. The tools appear as standard LangChain tools after the adapter wraps them.