How do I find my Dastra Access Token?

Log in to Dastra, click your profile icon, navigate to **API Access**, and generate a new Access Token for your account.

What is a DSR request?

Data Subject Requests are exercises of privacy rights (Access, Erasure, etc.) submitted by individuals under data protection laws.

Can I manage multiple workspaces?

Yes! Use the `list_workspaces` tool to identify your workspace IDs, then use them as parameters in other tools like `list_dsr` or `list_breaches`.

INSTANT PLUG AND PLAY

Dastra MCP Server for CrewAIGive CrewAI instant access to 12 tools to Archive Dsr, Create Breach, Create Dsr, and more

Name: Dastra
Availability: InStock
Author: Vinkius

Built by Vinkius GDPR 12 Tools Framework

Connect your CrewAI agents to Dastra through Vinkius, pass the Edge URL in the `mcps` parameter and every Dastra 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 Dastra app connector for CrewAI is a standout in the Document Management category — giving your AI agent 12 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="Dastra Specialist",
    goal="Help users interact with Dastra effectively",
    backstory=(
        "You are an expert at leveraging Dastra 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 Dastra "
        "and summarize their capabilities."
    ),
    agent=agent,
    expected_output=(
        "A detailed summary of 12 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 Dastra MCP Server

Connect your Dastra account to any AI agent and take full control of your data privacy and GDPR/LGPD compliance workflows through natural conversation.

When paired with CrewAI, Dastra becomes a first-class tool in your multi-agent workflows. Each agent in the crew can call Dastra 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

DSR Orchestration — Manage the full lifecycle of Data Subject Requests (DSR) programmatically, from creation and status tracking to high-fidelity resolution and archiving
Breach & Incident Tracking — Programmatically document and track security incidents and data breaches to maintain a perfectly coordinated regulatory response
ROPA & Asset Intelligence — Access your Record of Processing Activities (ROPA) and documented datasets to oversee data flow and classification across workspaces
Compliance Architecture — Retrieve complete directories of actors (controllers, processors), tags, and processing activities to maintain a high-fidelity privacy registry
Workspace Visibility — List and manage multiple workspaces programmatically to coordinate privacy operations across different business units directly through your agent

The Dastra MCP Server exposes 12 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 12 Dastra tools available for CrewAI

When CrewAI connects to Dastra through Vinkius, your AI agent gets direct access to every tool listed below — spanning gdpr, data-privacy, dsr-management, 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.

archive_dsr

Archive a DSR

create_breach

Create a new data breach record

create_dsr

Create a new Data Subject Request

get_dsr

Get details for a specific DSR

list_actors

). List actors

list_breaches

List data breaches

list_datasets

List datasets

list_dsr

List Data Subject Requests

list_processings

List processing activities (ROPA)

list_tags

List workspace tags

list_workspaces

List all workspaces

update_dsr

Update an existing DSR

Connect Dastra to CrewAI via MCP

Follow these steps to wire Dastra 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 12 tools from Dastra

Why Use CrewAI with the Dastra MCP Server

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

Dastra + CrewAI Use Cases

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

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

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

Example Prompts for Dastra in CrewAI

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

"List all active workspaces in my Dastra account."

"Show pending DSR requests for workspace 'ws_123'."

"Register a new data breach 'Server Unauthorized Access' in workspace 'ws_123'."

Troubleshooting Dastra MCP Server with CrewAI

Common issues when connecting Dastra 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.

Dastra + CrewAI FAQ

Common questions about integrating Dastra 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.