Can I create, update, and delete content items in any collection?

Yes! Use `create_item` with a collection name and JSON payload to add new items. Use `update_item` with the collection, item ID, and updated fields to modify existing items. Use `delete_item` to remove items. All operations respect the permissions assigned to your Static Token's user role.

How does Directus authentication work with a Static Token?

Directus uses a non-expiring Static Token associated with a specific user account. Generate it from your **User Profile** in the Data Studio. The token is sent as a `Bearer` token in the Authorization header. Its permissions match the role assigned to that user — use an admin role for full access or a restricted role for read-only operations.

Can I audit what changes have been made to my database?

Yes. The `list_activity` tool retrieves the audit log of recent database operations, showing who made changes, which collections were affected, timestamps, and the type of operation (create, update, delete). Combine with `list_users` and `list_roles` for full accountability tracking.

INSTANT PLUG AND PLAY

Directus MCP Server for CrewAIGive CrewAI instant access to 16 tools to Check Directus Status, Create Item, Delete Item, and more

Name: Directus
Availability: InStock
Author: Vinkius

Built by Vinkius GDPR 16 Tools Framework

Connect your CrewAI agents to Directus through 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.

Use with Your AI Agent

Ask AI about this App Connector for CrewAI

Open in ChatGPT Open in Claude Open in Perplexity

The Directus app connector for CrewAI is a standout in the Loved By Devs category — giving your AI agent 16 tools to work with, ready to go from day one.

Vinkius delivers Streamable HTTP and SSE to any MCP client

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 16 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 Directus MCP Server

Connect your Directus instance to any AI agent and manage your content database 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 Vinkius with zero configuration overhead.

What you can do

Collection Management — List all data collections with field counts and inspect individual collection schemas
Content CRUD — Create, read, update, and delete items in any collection using JSON payloads
Search & Query — Search items within collections by keyword to find specific content quickly
Schema Inspection — List all fields and their data types for any collection to understand your data model
File Management — Browse uploaded files and retrieve metadata for specific assets
User & Role Management — List all users with roles and status, view role configurations, and check your own profile
Audit Trail — Access the activity log of recent database operations for compliance and debugging

The Directus MCP Server exposes 16 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.

All 16 Directus tools available for CrewAI

When CrewAI connects to Directus through Vinkius, your AI agent gets direct access to every tool listed below — spanning sql-database, graphql, rest-api, and more. Every call is secured with network, filesystem, subprocess, and code evaluation entitlements inside a sandboxed runtime. Beyond a simple connection, you get a full AI Gateway with real-time visibility into agent activity, enterprise governance, and optimized token usage.

check_directus_status

Verify connectivity

create_item

Create an item

delete_item

Delete an item

get_collection

Get collection details

get_file

Get file details

get_item

Get item details

get_me

Get current user

list_activity

List recent activity

list_collections

List collections

list_fields

List fields

list_files

List files

list_items

List items

list_roles

List roles

list_users

List users

search_items

Search items

update_item

Update an item

Connect Directus to CrewAI via MCP

Follow these steps to wire Directus into CrewAI. The entire setup takes under two minutes — your credentials stay safe behind the Vinkius.

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 16 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 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

Example Prompts for Directus in CrewAI

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

"Show me all collections in my Directus instance and the fields for the 'articles' collection."

"Create a new article titled 'AI in Healthcare 2025' with status 'draft' and search for existing articles about AI."

"Show me the recent activity log and list all users with their roles."

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

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.