How to Use the Dastra MCP in CrewAI

Q: Can CrewAI agents collaborate to resolve a Dastra data breach?

Yes, a researcher agent can gather context from listbreaches and pass those findings directly to a responder agent. That responder then executes createbreach to log the incident.

Run autonomous teams of CrewAI agents to manage Dastra GDPR queues and breach logs.

See Vinkius in Action

Works with every AI agent you already use

…and any MCP-compatible client

MCP Servers - Free for Subscribers

Connect Dastra MCP to CrewAI

Create your Vinkius account to connect Dastra 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 Dastra with CrewAI

Ask AI about this MCP

ChatGPT

Claude

Perplexity

Coordinate CrewAI agent teams using this MCP Server

CrewAI allows you to deploy a cooperative team of AI agents to manage your Dastra queues. You can task an Intake Agent to monitor incoming requests using `list_dsr`, while a separate Specialist Agent resolves them using `update_dsr`. These agents share memory through the CrewAI framework, ensuring the Specialist Agent knows the exact context flagged by the Intake Agent. This eliminates manual handoffs when managing complex Dastra privacy queues.

Run autonomous data mapping audits with agent crews

Let a crew of specialized CrewAI agents audit your Dastra inventory without human supervision. A discovery agent can gather your current workspace structure using `list_workspaces` and `list_datasets` while a supervisor agent reviews the layout. The supervisor agent compares these assets against your ROPA using `list_processings`. If it finds a mismatch, it instructs a remediation agent to tag the outdated workspace using `list_tags`.

Deploy a virtual incident response team for data breaches

When a privacy incident occurs, your CrewAI incident crew coordinates to log the event in Dastra. A responder agent uses `create_breach` to register the incident details instantly. While that agent logs the event, a researcher agent queries `list_breaches` to identify recurring issues. Simultaneously, a moderator agent looks up relevant system actors using `list_actors` to trace the source.

Setup guide

Set up Dastra 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 Dastra tools as needed.

crew.py

from crewai import Agent, Task, Crew

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

task = Task(
    description="List recent Dastra 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="Dastra Analyst",
        goal="Access and analyze Dastra data via MCP.",
        backstory="Expert analyst with direct Dastra access.",
        tools=mcp_tools,
    )

    task = Task(
        description="List recent Dastra 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 Dastra. 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 Dastra 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 Dastra MCP in CrewAI

Pass your Vinkius URL directly into the agent's connection array. For more control, use a filter to ensure only your Compliance Officer agent can call `archive_dsr`.

Yes, a researcher agent can gather context from `list_breaches` and pass those findings directly to a responder agent. That responder then executes `create_breach` to log the incident.

CrewAI's memory system keeps context from previous tool calls, like `get_dsr`, accessible to all agents in the crew. This prevents redundant API requests across your team.

No, you configure the connection once at the crew level. CrewAI handles the underlying SSE or HTTP communication with the Vinkius gateway automatically.

Yes, your Dastra dataset mappings and processing activities are protected by Vinkius's secure sandboxing. CrewAI agents query your compliance records ephemerally, meaning no sensitive data is stored on external disks.

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