How to Use the Directus MCP in CrewAI

Q: Can a CrewAI agent write new records to my Directus database?

Yes, you assign createcmsrecord to your writer agent's toolbelt. The CrewAI agent formats the payload as JSON and writes the row directly to your configured collection.

Q: How do multiple CrewAI agents share Directus schema information?

One agent runs listschemacollections and saves the output to the crew's short-term memory. The other CrewAI agents read this memory to understand which tables are available for querying.

Q: How do I restrict a CrewAI agent from deleting Directus records?

Use a tool filter when defining your crew to omit wipecmsrecord from the agent's capabilities. This limits their access to safe tools on this MCP Server.

Q: How can my agent inspect a specific table's structure?

The agent calls getcollectiondetails to extract the properties driving that active table, returning the exact column setup.

Run autonomous multi-agent database teams that manage your Directus backend using CrewAI.

See Vinkius in Action

Works with every AI agent you already use

…and any MCP-compatible client

MCP Servers - Free for Subscribers

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

Setup Directus with CrewAI

Ask AI about this MCP

ChatGPT

Claude

Perplexity

Multi-agent Directus schema analysis in CrewAI

`list_schema_collections` lets your CrewAI research agent discover the underlying PostgreSQL tables in your Directus backend. The agent shares this database structure with your developer agent through the crew's shared memory. Next, the CrewAI developer agent runs `list_collection_fields` to analyze Directus column configurations. This collaborative process ensures your agents write valid data without violating database constraints.

Autonomous Directus maintenance via MCP Server

`patch_cms_record` allows your CrewAI editor agent to modify Directus database values based on instructions from the supervisor agent. The crew coordinates updates across multiple tables sequentially, maintaining data integrity. For dangerous operations, the CrewAI moderator agent inspects the target rows using `get_single_item` before allowing the execution of `wipe_cms_record`. This multi-layered validation prevents accidental data loss during autonomous runs — and yes, this actually matters when your agents run unsupervised.

Automated Directus file and user auditing

`list_directus_files` enables your CrewAI media auditor agent to scan Directus storage systems for unlinked assets. The agent uses this MCP tool to cross-reference these files with database records to clean up orphaned media. At the same time, your CrewAI security agent calls `list_directus_users` to monitor active Directus admin accounts. If an unauthorized role is detected, the crew flags the account and alerts your team.

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

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

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)

Get your connection token →

Prerequisites

Python 3.10+ installed
crewai + crewai-tools packages
Active Vinkius subscription with a valid endpoint token

1

Install dependencies
Run pip install crewai crewai-tools. The MCPServerAdapter handles lifecycle management and tool conversion.
2

Connect with MCPServerAdapter
Use MCPServerAdapter as a context manager with SseServerParameters pointing to your Vinkius endpoint. The adapter automatically manages connection lifecycle.
3

Assign tools and run
Pass the returned mcp_tools to your agent's tools parameter. The adapter converts MCP tools to native BaseTool objects compatible with all CrewAI agents.

crew.py

from crewai import Agent, Task, Crew
from crewai_tools import MCPServerAdapter
from mcp import SseServerParameters

server_params = SseServerParameters(
    url="https://edge.vinkius.com/[YOUR_TOKEN_HERE]/mcp"
)

with MCPServerAdapter(server_params) as mcp_tools:
    agent = Agent(
        role="Directus Analyst",
        goal="Access and analyze Directus data via MCP.",
        backstory="Expert analyst with direct Directus access.",
        tools=mcp_tools,
    )

    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)

Get your connection token →

Independent Platform Disclaimer: Vinkius is an independent platform and is not affiliated with, endorsed by, sponsored by, verified by, or otherwise authorized by Directus. All third-party trademarks, logos, and brand names are the property of their respective owners. Their use on this website is strictly for informational purposes to identify service compatibility and interoperability.

Why Choose Vinkius

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

Connect Directus now

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

Yes, you assign `create_cms_record` to your writer agent's toolbelt. The CrewAI agent formats the payload as JSON and writes the row directly to your configured collection.

One agent runs `list_schema_collections` and saves the output to the crew's short-term memory. The other CrewAI agents read this memory to understand which tables are available for querying.

Use a tool filter when defining your crew to omit `wipe_cms_record` from the agent's capabilities. This limits their access to safe tools on this MCP Server.

The agent calls `get_collection_details` to extract the properties driving that active table, returning the exact column setup.

Your credentials reside strictly within the Vinkius zero-trust environment. This MCP Server communicates with CrewAI using secure, ephemeral tokens, ensuring your raw SQL records and user lists are never exposed to external servers.

Use it with your favorite AI tools

Connect this server to Cursor, Claude, VS Code, and more.

OpenAI Agents SDK sdk-python

Google ADK sdk-python

Pydantic AI sdk-python

Vercel AI SDK sdk-typescript