Dastra MCP Server for Pydantic AIGive Pydantic AI instant access to 12 tools to Archive Dsr, Create Breach, Create Dsr, and more
Pydantic AI brings type-safe agent development to Python with first-class MCP support. Connect Dastra through Vinkius and every tool is automatically validated against Pydantic schemas. catch errors at build time, not in production.
Ask AI about this App Connector for Pydantic AI
The Dastra app connector for Pydantic AI 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
import asyncio
from pydantic_ai import Agent
from pydantic_ai.mcp import MCPServerHTTP
async def main():
# Your Vinkius token. get it at cloud.vinkius.com
server = MCPServerHTTP(url="https://edge.vinkius.com/[YOUR_TOKEN_HERE]/mcp")
agent = Agent(
model="openai:gpt-4o",
mcp_servers=[server],
system_prompt=(
"You are an assistant with access to Dastra "
"(12 tools)."
),
)
result = await agent.run(
"What tools are available in Dastra?"
)
print(result.data)
asyncio.run(main())
* 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.
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.
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 Pydantic AI 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 Pydantic AI
When Pydantic AI 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 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
Connect Dastra to Pydantic AI via MCP
Follow these steps to wire Dastra into Pydantic AI. The entire setup takes under two minutes — your credentials stay safe behind the Vinkius.
Install Pydantic AI
pip install pydantic-aiReplace the token
[YOUR_TOKEN_HERE] with your Vinkius tokenRun the agent
agent.py and run: python agent.pyExplore tools
Why Use Pydantic AI with the Dastra MCP Server
Pydantic AI provides unique advantages when paired with Dastra through the Model Context Protocol.
Full type safety: every MCP tool response is validated against Pydantic models, catching data inconsistencies before they reach your application
Model-agnostic architecture. switch between OpenAI, Anthropic, or Gemini without changing your Dastra integration code
Structured output guarantee: Pydantic AI ensures tool results conform to defined schemas, eliminating runtime type errors
Dependency injection system cleanly separates your Dastra connection logic from agent behavior for testable, maintainable code
Dastra + Pydantic AI Use Cases
Practical scenarios where Pydantic AI combined with the Dastra MCP Server delivers measurable value.
Type-safe data pipelines: query Dastra with guaranteed response schemas, feeding validated data into downstream processing
API orchestration: chain multiple Dastra tool calls with Pydantic validation at each step to ensure data integrity end-to-end
Production monitoring: build validated alert agents that query Dastra and output structured, schema-compliant notifications
Testing and QA: use Pydantic AI's dependency injection to mock Dastra responses and write comprehensive agent tests
Example Prompts for Dastra in Pydantic AI
Ready-to-use prompts you can give your Pydantic AI 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 Pydantic AI
Common issues when connecting Dastra to Pydantic AI through the Vinkius, and how to resolve them.
MCPServerHTTP not found
pip install --upgrade pydantic-aiDastra + Pydantic AI FAQ
Common questions about integrating Dastra MCP Server with Pydantic AI.
How does Pydantic AI discover MCP tools?
MCPServerHTTP instance with the server URL. Pydantic AI connects, discovers all tools, and generates typed Python interfaces automatically.