Can my agent list all collections and their fields in Directus?

Yes. Use the 'list_schema_collections' tool to see all tables, and then use 'list_collection_fields' for a specific collection. The agent retrieves the absolute structural details defining precisely which fields accept formatting.

How do I create a new record in a specific Directus collection?

Use the 'create_cms_record' tool. Provide the collection name and a JSON payload mapping the columns. Your agent will orchestrate the request to drop the formatted endpoint into your database and return the new UUID.

Can I audit authorized users and their roles via the agent?

Absolutely. The 'list_directus_users' tool retrieves the explicitly mapped profile arrays iterating the exact users authorized within the database layer. This helps you monitor RBAC boundaries and organizational identities.

Directus MCP Server for CrewAI 10 tools — connect in under 2 minutes

Name: Directus
Availability: InStock
Author: Vinkius

docs.crewai.com/mcp/overview

Built by Vinkius GDPR 10 Tools Framework

Connect your CrewAI agents to Directus through the Vinkius — pass the Edge URL in the `mcps` parameter and every Directus 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

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python

from crewai import Agent, Task, Crew

agent = Agent(
    role="Directus Specialist",
    goal="Help users interact with Directus effectively",
    backstory=(
        "You are an expert at leveraging Directus 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 Directus "
        "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)

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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 Directus MCP Server

Connect your Directus instance to any AI agent and take full control of your open-source data platform and headless CMS through natural conversation.

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

What you can do

Collection Orchestration — Identify bounded routing spaces inside headless Directus SQL mappers and extract database tables traversing collections natively
Item Management — Provision highly-available JSON payloads to write or update Directus rows, or irreversibly wipe records to clear internal database allocations
Schema Auditing — Enumerate explicitly attached structured rules defining your PostgreSQL tables and execute bulk iterations to track registered system types
Metadata Inspection — Analyze specific localized variables decoding native collection boundaries and extracting hidden tracking configurations seamlessly
Field Discovery — Inspect deep internal arrays defining precisely which fields accept formatting and validate payloads strictly against your DB links
Identity Oversight — Explains explicitly mapped profile arrays iterating the exact users authorized within the DB layer enforcing RBAC boundaries securely
Media Storage — Retrieve the exact structural matching verifying file uploads and generating download routes for active frontends

The Directus 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 Directus to CrewAI via MCP

Follow these steps to integrate the Directus 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 Directus

Why Use CrewAI with the Directus MCP Server

CrewAI Multi-Agent Orchestration Framework provides unique advantages when paired with Directus 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 the 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

Directus + CrewAI Use Cases

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

Automated multi-step research: a reconnaissance agent queries Directus 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 Directus, analyzes trends over time, and generates executive briefings in markdown or PDF format

Multi-source enrichment pipelines: chain Directus 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 Directus against predefined policy rules, generates deviation reports, and routes findings to the appropriate team

Directus MCP Tools for CrewAI (10)

These 10 tools become available when you connect Directus to CrewAI via MCP:

create_cms_record

Provision a highly-available JSON Payload writing Directus Rows

get_collection_details

Perform structural extraction of properties driving active Tables

get_single_item

Retrieve explicit Cloud logging tracing explicit DB Row UUIDs

list_collection_fields

Inspect deep internal arrays mitigating specific Column configurations

list_collection_items

Identify bounded routing spaces inside Headless Directus SQL mappers

list_directus_files

Retrieve the exact structural matching verifying Media storage

list_directus_users

Identify precise active arrays spanning rented Admin identities

list_schema_collections

Enumerate explicitly attached structured rules defining PostgreSQL tables

patch_cms_record

Mutate global Web CRM boundaries substituting Database values via ID

wipe_cms_record

Irreversibly vaporize explicit App nodes dropping live Rows

Example Prompts for Directus in CrewAI

Ready-to-use prompts you can give your CrewAI agent to start working with Directus immediately.

"List all items in the 'articles' collection"

"Create a new record in 'products': {'name': 'Gaming Mouse', 'price': 50}"

"Show me the schema for the 'orders' table"

Troubleshooting Directus MCP Server with CrewAI

Common issues when connecting Directus 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

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

Directus + CrewAI FAQ

Common questions about integrating Directus 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.