Bring Gdpr
to Pydantic AI
Learn how to connect Dastra to Pydantic AI and start using 12 AI agent tools in minutes. Fully managed, enterprise secure, and ready to use without writing a single line of code.
What is the 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.
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
How it works
1. Subscribe to this server
2. Retrieve your API Access Token from your Dastra user profile (API Access)
3. Start managing your compliance registry and privacy requests from Claude, Cursor, or any MCP client
No more manual record logging or digging through complex compliance tables in the portal. Your AI acts as your dedicated DPO and compliance coordinator.
Who is this for?
- Data Protection Officers (DPOs) — instantly retrieve ROPA summaries and check DSR statuses using natural language commands
- Compliance Teams — automate the documentation of security incidents and monitor dataset classifications without leaving your workspace
- Developers & Ops — integrate automated privacy right handling and data mapping into custom internal tools through simple AI queries
Built-in capabilities (12)
Archive a DSR
Create a new data breach record
Create a new Data Subject Request
Get details for a specific DSR
). List actors
List data breaches
List datasets
List Data Subject Requests
List processing activities (ROPA)
List workspace tags
List all workspaces
Update an existing DSR
Why Pydantic AI?
Pydantic AI validates every Dastra tool response against typed schemas, catching data inconsistencies at build time. Connect 12 tools through Vinkius and switch between OpenAI, Anthropic, or Gemini without changing your integration code. full type safety, structured output guarantees, and dependency injection for testable agents.
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Full type safety: every MCP tool response is validated against Pydantic models, catching data inconsistencies before they reach your application
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Model-agnostic architecture. switch between OpenAI, Anthropic, or Gemini without changing your Dastra integration code
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Structured output guarantee: Pydantic AI ensures tool results conform to defined schemas, eliminating runtime type errors
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Dependency injection system cleanly separates your Dastra connection logic from agent behavior for testable, maintainable code
Dastra in Pydantic AI
Dastra and 3,400+ other MCP servers. One platform. One governance layer.
Teams that connect Dastra to Pydantic AI through Vinkius don't need to source, host, or maintain individual MCP servers. Every tool call runs inside a hardened runtime with credential isolation, DLP, and a signed audit chain.
Raw MCP | Vinkius | |
|---|---|---|
| Server catalog | Find and host yourself | 3,400+ managed |
| Infrastructure | Self-hosted | Sandboxed V8 isolates |
| Credential handling | Plaintext in config | Vault + runtime injection |
| Data loss prevention | None | Configurable DLP policies |
| Kill switch | None | Global instant shutdown |
| Financial circuit breakers | None | Per-server limits + alerts |
| Audit trail | None | Ed25519 signed logs |
| SIEM log streaming | None | Splunk, Datadog, Webhook |
| Honeytokens | None | Canary alerts on leak |
| Custom domains | Not applicable | DNS challenge verified |
| GDPR compliance | Manual effort | Automated purge + export |
Why teams choose Vinkius for Dastra in Pydantic AI
The Dastra 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. All 12 tools execute in hardened sandboxes optimized for native MCP execution.
Your AI agents in Pydantic AI only access the data you authorize, with DLP that blocks sensitive information from ever reaching the model, kill switch for instant shutdown, and up to 60% token savings. Enterprise-grade infrastructure, zero maintenance.
* 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
How Vinkius secures
Dastra for Pydantic AI
Every tool call from Pydantic AI to the Dastra MCP Server is protected by DLP redaction, cryptographic audit chains, V8 sandbox isolation, kill switch, and financial circuit breakers.
Frequently asked questions
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.
How does Pydantic AI discover MCP tools?
Create an MCPServerHTTP instance with the server URL. Pydantic AI connects, discovers all tools, and generates typed Python interfaces automatically.
Does Pydantic AI validate MCP tool responses?
Yes. When you define result types as Pydantic models, every tool response is validated against the schema. Invalid data raises a clear error instead of silently corrupting your pipeline.
Can I switch LLM providers without changing MCP code?
Absolutely. Pydantic AI abstracts the model layer. your Dastra MCP integration works identically with OpenAI, Anthropic, Google, or any supported provider.
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Update: pip install --upgrade pydantic-ai