Can my agent create a new content node in Drupal?

Yes. Use the 'create_cms_node' tool. Provide the node type (e.g., 'article') and a JSON object with the attributes. The agent will orchestrate the HTTP POST request to your Drupal JSON:API to persist the entity.

How do I list all taxonomy terms for a specific vocabulary?

Use the 'list_term_vocabularies' tool. Provide the vocabulary ID (e.g., 'tags'). Your agent will execute bulk iterations to track explicitly registered terms and return them within your chat context.

Can I retrieve the direct URL for a managed image file?

Absolutely. Use the 'get_file_metadata' tool with the file ID. The agent will analyze the explicit UUID bounds and fetch the literal URL parameters, providing the public location of the managed attachment.

Drupal MCP Server for LangChain 10 tools — connect in under 2 minutes

Name: Drupal
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 Drupal 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({
        "drupal": {
            "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 Drupal, show me what tools are available.",
            }]
        })
        print(response["messages"][-1].content)

asyncio.run(main())

Fully ManagedVinkius Servers

60%Token savings

High SecurityEnterprise-grade

IAMAccess control

EU AI ActCompliant

DLPData protection

V8 IsolateSandboxed

Ed25519Audit chain

<40msKill switch

Stream every event to Splunk, Datadog, or your own webhook in real-time

* 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 Drupal MCP Server

Connect your Drupal site to any AI agent and take full control of your headless content management and JSON:API workflows through natural conversation.

LangChain's ecosystem of 500+ components combines seamlessly with Drupal 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

Content Node Orchestration — Identify bounded routing spaces inside headless Drupal models and extract explicitly attached REST arrays tracking standard JSON:API boundaries
Entity Management — Provision highly-available JSON payloads to write rows into Drupal entities, or irreversibly vaporize nodes to clear live document entities
Revision Mutation — Substitute draft values safely by triggering HTTP PATCH operations to replace row segments isolating partial updates mapping specific UUIDs
Taxonomy Management — Enumerate explicitly attached structured rules defining how content is categorized natively through terms and vocabularies
File & Media Discovery — Taps raw configurations pulling explicitly managed Drupal files to discover raw CDN URIs mitigating headless media blocking
Identity Oversight — Evaluate physical arrays isolating actual editors and administrators exposing their metadata and access roles securely
Metadata Auditing — Retrieve the exact structural matching verifying file storage and analyzing explicit UUID bounds for managed attachments

The Drupal 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 Drupal to LangChain via MCP

Follow these steps to integrate the Drupal 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 Drupal via MCP

Why Use LangChain with the Drupal MCP Server

LangChain provides unique advantages when paired with Drupal through the Model Context Protocol.

The largest ecosystem of integrations, chains, and agents. combine Drupal 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 Drupal queries for multi-turn workflows

Drupal + LangChain Use Cases

Practical scenarios where LangChain combined with the Drupal MCP Server delivers measurable value.

RAG with live data: combine Drupal tool results with vector store retrievals for answers grounded in both real-time and historical data

Autonomous research agents: LangChain agents query Drupal, synthesize findings, and generate comprehensive research reports

Multi-tool orchestration: chain Drupal tools with web scrapers, databases, and calculators in a single agent run

Production monitoring: use LangSmith to trace every Drupal tool call, measure latency, and optimize your agent's performance

Drupal MCP Tools for LangChain (10)

These 10 tools become available when you connect Drupal to LangChain via MCP:

create_cms_node

Provision a highly-available JSON Payload writing Rows into Drupal entities

get_file_metadata

Retrieve the exact structural matching verifying File storage

get_single_node

Retrieve explicit Cloud logging tracing explicit Node UUIDs

get_taxonomy_term

Perform structural extraction of properties driving active Term mappings

list_content_nodes

Identify bounded routing spaces inside the Headless Drupal models

list_drupal_users

Identify precise active arrays spanning rented Admin identities

list_managed_files

Inspect deep internal arrays mitigating specific Picture constraints

list_term_vocabularies

Enumerate explicitly attached structured rules exporting Taxonomies

patch_cms_node

Mutate global Web CRM boundaries substituting Draft values safely

wipe_cms_node

Irreversibly vaporize explicit App nodes dropping live Document entities

Example Prompts for Drupal in LangChain

Ready-to-use prompts you can give your LangChain agent to start working with Drupal immediately.

"List the last 5 'article' nodes from Drupal"

"Create an 'article' with title 'AI Integration' and body 'Testing Drupal MCP...'"

"Show me all terms in the 'tags' vocabulary"

Troubleshooting Drupal MCP Server with LangChain

Common issues when connecting Drupal to LangChain through the Vinkius, and how to resolve them.

MultiServerMCPClient not found

Install: pip install langchain-mcp-adapters

Drupal + LangChain FAQ

Common questions about integrating Drupal 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.