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How to Use the Directus MCP in CrewAI

Deploy autonomous content crews to manage your database using this Directus MCP server.

See Vinkius in Action

Works with every AI agent you already use

…and any MCP-compatible client

Directus MCP on Cursor AI Code Editor MCP Client Directus MCP on Claude Desktop App MCP Integration Directus MCP on OpenAI Agents SDK MCP Compatible Directus MCP on Visual Studio Code MCP Extension Client Directus MCP on GitHub Copilot AI Agent MCP Integration Directus MCP on Google Gemini AI MCP Integration Directus MCP on Lovable AI Development MCP Client Directus MCP on Mistral AI Agents MCP Compatible Directus MCP on Amazon AWS Bedrock MCP Support
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CrewAI

Connect Directus MCP to CrewAI

Create your Vinkius account to connect Directus to CrewAI and route execution through our secure gateway. The platform manages server hosting, runtime updates, and security layers. Configuration requires no manual server provisioning.

GDPR Free for Subscribers

Collaborative content research

Your research agent uses `search_items` to gather relevant records for the rest of the crew. It identifies the necessary data points without human intervention. This feeds the shared memory of your team. Other agents then use this context to perform their specific tasks.

Automated content moderation

A monitor agent runs `list_activity` to watch for suspicious or outdated content. It then uses `delete_item` or `update_item` to clean up the database automatically. Your operations run without you needing to check the logs. The crew keeps the database healthy while you focus on other work.

Specialized role execution

Assign `get_collection` and `list_fields` to your technical agent while keeping `get_me` and `list_roles` for your admin agent. CrewAI ensures each agent only uses the tools relevant to its role. This prevents tool overlap and keeps the execution clean. You define the hierarchy, and the agents follow it.

Setup guide

Set up Directus MCP in CrewAI

Prerequisites

  • Python 3.10+ installed
  • crewai package (pip install crewai)
  • Active Vinkius subscription with a valid endpoint token
  1. 1

    Install CrewAI

    Run pip install crewai to install the framework. MCP support is built-in via the mcps parameter.

  2. 2

    Add the MCP URL to your agent

    Pass your Vinkius endpoint directly to the mcps list. Replace [YOUR_TOKEN_HERE] with your token from cloud.vinkius.com. CrewAI handles tool discovery and caching automatically.

  3. 3

    Kick off your crew

    Create a Crew with your agent and tasks. Call crew.kickoff() — the agent will automatically invoke Directus tools as needed.

crew.py
from crewai import Agent, Task, Crew

agent = Agent(
    role="Directus Analyst",
    goal="Access and analyze Directus data via MCP.",
    backstory="Expert analyst with direct Directus access.",
    mcps=[
        "https://edge.vinkius.com/[YOUR_TOKEN_HERE]/mcp"
    ],
)

task = Task(
    description="List recent Directus transactions",
    agent=agent,
    expected_output="A summary of recent activity",
)

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

Why Choose Vinkius

Vinkius connects your tools to AI with real-time monitoring and automatic cost savings — all from one dashboard.

Real-time monitoring

Live

visibility into every interaction

Connect your favorite tools to your AI and see exactly what's happening — every request, every response, in real time.

Built-in savings

60%

lower AI costs

Vinkius compresses data between your apps and your AI automatically. Lower bills every month — no configuration required.

Single dashboard

One

place for every integration

Every tool your AI connects to, managed from a single screen. One account, complete control.

Common questions about Directus MCP in CrewAI

Pass the server URL to your agent definition in the mcps list. The framework handles the registration and exposes the tools to the agent automatically.
They can. Using tools like `create_item` and `update_item`, your agents perform CRUD operations as part of their assigned tasks.
It does. Because the agents share memory, one agent can fetch data via `list_items` and pass the results to another agent for analysis.
The MCP server uses token-based auth for every request. We maintain a zero-trust model where only the tools you enable are accessible to your agents.
Your content is stored in your own database instance. The MCP server bridge is ephemeral, and we enforce strict access control to ensure agents only touch what you authorize.

Start using the Directus MCP today

We host it, we monitor it, we maintain it. You just paste one token.

Built & Managed by Vinkius 30s setup 16 tools

We've already built the connector for Directus. Just plug in your AI agents and start using Vinkius.

No hosting. No infrastructure. No complex setup.
All 16 tools are live and waiting. You're up and running in seconds.

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