Bring Gdpr
to Vercel AI SDK
Learn how to connect Dastra to Vercel AI SDK 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 Vercel AI SDK?
The Vercel AI SDK gives every Dastra tool full TypeScript type inference, IDE autocomplete, and compile-time error checking. Connect 12 tools through Vinkius and stream results progressively to React, Svelte, or Vue components. works on Edge Functions, Cloudflare Workers, and any Node.js runtime.
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TypeScript-first: every MCP tool gets full type inference, IDE autocomplete, and compile-time error checking out of the box
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Framework-agnostic core works with Next.js, Nuxt, SvelteKit, or any Node.js runtime. same Dastra integration everywhere
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Built-in streaming UI primitives let you display Dastra tool results progressively in React, Svelte, or Vue components
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Edge-compatible: the AI SDK runs on Vercel Edge Functions, Cloudflare Workers, and other edge runtimes for minimal latency
Dastra in Vercel AI SDK
Dastra and 3,400+ other MCP servers. One platform. One governance layer.
Teams that connect Dastra to Vercel AI SDK 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 Vercel AI SDK
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 Vercel AI SDK 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 Vercel AI SDK
Every tool call from Vercel AI SDK 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 the Vercel AI SDK connect to MCP servers?
Import createMCPClient from @ai-sdk/mcp and pass the server URL. The SDK discovers all tools and provides typed TypeScript interfaces for each one.
Can I use MCP tools in Edge Functions?
Yes. The AI SDK is fully edge-compatible. MCP connections work on Vercel Edge Functions, Cloudflare Workers, and similar runtimes.
Does it support streaming tool results?
Yes. The SDK provides streaming primitives like useChat and streamText that handle tool calls and display results progressively in the UI.
createMCPClient is not a function
Install: npm install @ai-sdk/mcp