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 CrewAI 10 tools — connect in under 2 minutes

Name: Drupal
Availability: InStock
Author: Vinkius

docs.crewai.com/mcp/overview

Built by Vinkius GDPR 10 Tools Framework

Connect your CrewAI agents to Drupal through Vinkius, pass the Edge URL in the `mcps` parameter and every Drupal tool is auto-discovered at runtime. No credentials to manage, no infrastructure to maintain.

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

from crewai import Agent, Task, Crew

agent = Agent(
    role="Drupal Specialist",
    goal="Help users interact with Drupal effectively",
    backstory=(
        "You are an expert at leveraging Drupal tools "
        "for automation and data analysis."
    ),
    # Your Vinkius token. get it at cloud.vinkius.com
    mcps=["https://edge.vinkius.com/[YOUR_TOKEN_HERE]/mcp"],
)

task = Task(
    description=(
        "Explore all available tools in Drupal "
        "and summarize their capabilities."
    ),
    agent=agent,
    expected_output=(
        "A detailed summary of 10 available tools "
        "and what they can do."
    ),
)

crew = Crew(agents=[agent], tasks=[task])
result = crew.kickoff()
print(result)

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.

When paired with CrewAI, Drupal becomes a first-class tool in your multi-agent workflows. Each agent in the crew can call Drupal tools autonomously, one agent queries data, another analyzes results, a third compiles reports, all orchestrated through Vinkius with zero configuration overhead.

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 CrewAI 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 CrewAI via MCP

Follow these steps to integrate the Drupal MCP Server with CrewAI.

Install CrewAI

Run pip install crewai

Replace the token

Replace [YOUR_TOKEN_HERE] with your Vinkius token from cloud.vinkius.com

Customize the agent

Adjust the role, goal, and backstory to fit your use case

Run the crew

Run python crew.py. CrewAI auto-discovers 10 tools from Drupal

Why Use CrewAI with the Drupal MCP Server

CrewAI Multi-Agent Orchestration Framework provides unique advantages when paired with Drupal through the Model Context Protocol.

Multi-agent collaboration lets you decompose complex workflows into specialized roles, one agent researches, another analyzes, a third generates reports, each with access to MCP tools

CrewAI's native MCP integration requires zero adapter code: pass Vinkius Edge URL directly in the `mcps` parameter and agents auto-discover every available tool at runtime

Built-in task delegation and shared memory mean agents can pass context between steps without manual state management, enabling multi-hop reasoning across tool calls

Sequential and hierarchical crew patterns map naturally to real-world workflows: enumerate subdomains → analyze DNS history → check WHOIS records → compile findings into actionable reports

Drupal + CrewAI Use Cases

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

Automated multi-step research: a reconnaissance agent queries Drupal for raw data, then a second analyst agent cross-references findings and flags anomalies. all without human handoff

Scheduled intelligence reports: set up a crew that periodically queries Drupal, analyzes trends over time, and generates executive briefings in markdown or PDF format

Multi-source enrichment pipelines: chain Drupal tools with other MCP servers in the same crew, letting agents correlate data across multiple providers in a single workflow

Compliance and audit automation: a compliance agent queries Drupal against predefined policy rules, generates deviation reports, and routes findings to the appropriate team

Drupal MCP Tools for CrewAI (10)

These 10 tools become available when you connect Drupal to CrewAI 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 CrewAI

Ready-to-use prompts you can give your CrewAI 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 CrewAI

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

MCP tools not discovered

Ensure the Edge URL is correct. CrewAI connects lazily when the crew starts. check console output.

Agent not using tools

Make the task description specific. Instead of "do something", say "Use the available tools to list contacts".

Timeout errors

CrewAI has a 10s connection timeout by default. Ensure your network can reach the Edge URL.

Rate limiting or 429 errors

Vinkius enforces per-token rate limits. Check your subscription tier and request quota in the dashboard. Upgrade if you need higher throughput.

Drupal + CrewAI FAQ

Common questions about integrating Drupal MCP Server with CrewAI.

How does CrewAI discover and connect to MCP tools?

CrewAI connects to MCP servers lazily. when the crew starts, each agent resolves its MCP URLs and fetches the tool catalog via the standard tools/list method. This means tools are always fresh and reflect the server's current capabilities. No tool schemas need to be hardcoded.

Can different agents in the same crew use different MCP servers?

Yes. Each agent has its own mcps list, so you can assign specific servers to specific roles. For example, a reconnaissance agent might use a domain intelligence server while an analysis agent uses a vulnerability database server.

What happens when an MCP tool call fails during a crew run?

CrewAI wraps tool failures as context for the agent. The LLM receives the error message and can decide to retry with different parameters, fall back to a different tool, or mark the task as partially complete. This resilience is critical for production workflows.

Can CrewAI agents call multiple MCP tools in parallel?

CrewAI agents execute tool calls sequentially within a single reasoning step. However, you can run multiple agents in parallel using process=Process.parallel, each calling different MCP tools concurrently. This is ideal for workflows where separate data sources need to be queried simultaneously.

Can I run CrewAI crews on a schedule (cron)?

Yes. CrewAI crews are standard Python scripts, so you can invoke them via cron, Airflow, Celery, or any task scheduler. The crew.kickoff() method runs synchronously by default, making it straightforward to integrate into existing pipelines.