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Vinkius

OneTrust MCP Server for Mastra AI 10 tools — connect in under 2 minutes

Built by Vinkius GDPR 10 Tools SDK

Mastra AI is a TypeScript-native agent framework built for modern web stacks. Connect OneTrust through the Vinkius and Mastra agents discover all tools automatically — type-safe, streaming-ready, and deployable anywhere Node.js runs.

Vinkius supports streamable HTTP and SSE.

typescript
import { Agent } from "@mastra/core/agent";
import { createMCPClient } from "@mastra/mcp";
import { openai } from "@ai-sdk/openai";

async function main() {
  // Your Vinkius token — get it at cloud.vinkius.com
  const mcpClient = await createMCPClient({
    servers: {
      "onetrust": {
        url: "https://edge.vinkius.com/[YOUR_TOKEN_HERE]/mcp",
      },
    },
  });

  const tools = await mcpClient.getTools();
  const agent = new Agent({
    name: "OneTrust Agent",
    instructions:
      "You help users interact with OneTrust " +
      "using 10 tools.",
    model: openai("gpt-4o"),
    tools,
  });

  const result = await agent.generate(
    "What can I do with OneTrust?"
  );
  console.log(result.text);
}

main();
OneTrust
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 OneTrust MCP Server

Connect your OneTrust account to any AI agent and manage privacy compliance, vendor risks, and data governance through natural conversation.

Mastra's agent abstraction provides a clean separation between LLM logic and OneTrust tool infrastructure. Connect 10 tools through the Vinkius and use Mastra's built-in workflow engine to chain tool calls with conditional logic, retries, and parallel execution — deployable to any Node.js host in one command.

What you can do

  • Data Subject Requests — List, create, and track DSARs (GDPR/CCPA access, deletion, opt-out requests)
  • Privacy Assessments — Browse PIAs, DPIAs, and Transfer Impact Assessments with risk scores
  • Data Inventory — View the data map: which systems process personal data, for what purpose, and under which legal basis
  • Vendor Risk — Manage third-party vendors with security questionnaires and risk ratings
  • Consent Management — Review consent purposes and cookie categories
  • Incident Management — Track privacy and security incidents with severity and regulatory notification status
  • Risk Register — View identified risks with impact, likelihood, and treatment plans

The OneTrust MCP Server exposes 10 tools through the Vinkius. Connect it to Mastra AI in under two minutes — no API keys to rotate, no infrastructure to provision, no vendor lock-in. Your configuration, your data, your control.

How to Connect OneTrust to Mastra AI via MCP

Follow these steps to integrate the OneTrust MCP Server with Mastra AI.

01

Install dependencies

Run npm install @mastra/core @mastra/mcp @ai-sdk/openai

02

Replace the token

Replace [YOUR_TOKEN_HERE] with your Vinkius token

03

Run the agent

Save to agent.ts and run with npx tsx agent.ts

04

Explore tools

Mastra discovers 10 tools from OneTrust via MCP

Why Use Mastra AI with the OneTrust MCP Server

Mastra AI provides unique advantages when paired with OneTrust through the Model Context Protocol.

01

Mastra's agent abstraction provides a clean separation between LLM logic and tool infrastructure — add OneTrust without touching business code

02

Built-in workflow engine chains MCP tool calls with conditional logic, retries, and parallel execution for complex automation

03

TypeScript-native: full type inference for every OneTrust tool response with IDE autocomplete and compile-time checks

04

One-command deployment to any Node.js host — Vercel, Railway, Fly.io, or your own infrastructure

OneTrust + Mastra AI Use Cases

Practical scenarios where Mastra AI combined with the OneTrust MCP Server delivers measurable value.

01

Automated workflows: build multi-step agents that query OneTrust, process results, and trigger downstream actions in a typed pipeline

02

SaaS integrations: embed OneTrust as a first-class tool in your product's AI features with Mastra's clean agent API

03

Background jobs: schedule Mastra agents to query OneTrust on a cron and store results in your database automatically

04

Multi-agent systems: create specialist agents that collaborate using OneTrust tools alongside other MCP servers

OneTrust MCP Tools for Mastra AI (10)

These 10 tools become available when you connect OneTrust to Mastra AI via MCP:

01

onetrust_create_dsar

Request types: ACCESS (subject wants their data), DELETION (right to be forgotten), RECTIFICATION (correct inaccurate data), PORTABILITY (data export), OPT_OUT (stop selling/sharing). The request enters the fulfillment workflow with regulatory deadlines automatically calculated (e.g., 30 days for GDPR). Create a new data subject access request in OneTrust — register a GDPR/CCPA privacy request on behalf of an individual

02

onetrust_get_assessment

Use for assessment review, audit evidence, or understanding the privacy risk landscape of a specific project or data processing activity. Get full details of a privacy impact assessment — questions, responses, risk findings, and recommendations from the review process

03

onetrust_get_dsar

15/17/20, CCPA §1798.100), processing steps completed, data sources discovered, assigned handler, deadline, and audit trail. Use for detailed DSAR investigation, compliance verification, or reporting. Get complete details of a specific data subject request — subject information, request history, fulfillment steps, and regulatory context

04

onetrust_list_assessments

Each shows: assessment name, type, risk score, status (Draft/In Review/Approved/Rejected), assigned owner, and completion date. Use for GDPR Art. 35 compliance, risk oversight, or assessment pipeline review. List privacy impact assessments (PIAs/DPIAs) in OneTrust — Data Protection Impact Assessments with risk scores and approval status

05

onetrust_list_assets

Each asset includes: name, type, data categories processed, processing purposes, legal basis, data subjects affected, retention periods, and risk classification. Essential for GDPR Art. 30 compliance. Use when the user asks about "what systems process personal data?" or needs the data map. List data inventory assets in OneTrust — applications, databases, systems, and third-party services with data classification and processing purposes

06

onetrust_list_consent_purposes

Each purpose includes: name, description, category (Strictly Necessary/Performance/Functional/Marketing), associated cookies/trackers, and default consent state. Purposes are the building blocks of your cookie banners and preference centers. Use for consent configuration review or privacy banner auditing. List consent purposes configured in OneTrust consent management — cookie categories, marketing preferences, and data collection purposes

07

onetrust_list_dsars

Each DSAR includes: subject name, email, request type (Access/Deletion/Rectification/Portability/Opt-Out), current status (Open/In Progress/Completed/Overdue), assigned handler, submission date, and regulatory deadline. Use when the user asks about pending privacy requests, DSAR compliance, or deadline tracking. List data subject access requests (DSARs) in OneTrust — GDPR, CCPA, and privacy rights requests from individuals with status and deadlines

08

onetrust_list_incidents

Each incident includes: title, severity (Critical/High/Medium/Low), status (Open/Under Investigation/Resolved/Closed), type (Data Breach/Near Miss/Complaint), affected data subjects count, regulatory notification status, and assigned investigator. Use for breach response management, regulatory reporting requirements, or incident trend analysis. List security and privacy incidents in OneTrust incident management — breaches, near-misses, and reports with severity and regulatory notification status

09

onetrust_list_risks

Each risk includes: title, description, category, impact level, likelihood score, calculated risk rating, treatment plan (Accept/Mitigate/Transfer/Avoid), associated controls, and assigned owner. Use for enterprise risk management reporting, board-level risk summaries, or identifying areas that need attention. List privacy and security risks from OneTrust risk register — identified risks with impact, likelihood, risk score, and treatment plans

10

onetrust_list_vendors

Each vendor shows: name, risk score, assessment status (questionnaire sent/completed/overdue), data categories shared, contractual safeguards (DPA signed/pending), and last review date. Use for vendor due diligence, subprocessor management, or GDPR Art. 28 compliance verification. List third-party vendors in OneTrust vendor risk management — data processors, subprocessors, and partners with security/privacy risk ratings

Example Prompts for OneTrust in Mastra AI

Ready-to-use prompts you can give your Mastra AI agent to start working with OneTrust immediately.

01

"How many open data subject requests do we have?"

02

"Which vendors have overdue security assessments?"

03

"Show the data map for our CRM system."

Troubleshooting OneTrust MCP Server with Mastra AI

Common issues when connecting OneTrust to Mastra AI through the Vinkius, and how to resolve them.

01

createMCPClient not exported

Install: npm install @mastra/mcp

OneTrust + Mastra AI FAQ

Common questions about integrating OneTrust MCP Server with Mastra AI.

01

How does Mastra AI connect to MCP servers?

Create an MCPClient with the server URL and pass it to your agent. Mastra discovers all tools and makes them available with full TypeScript types.
02

Can Mastra agents use tools from multiple servers?

Yes. Pass multiple MCP clients to the agent constructor. Mastra merges all tool schemas and the agent can call any tool from any server.
03

Does Mastra support workflow orchestration?

Yes. Mastra has a built-in workflow engine that lets you chain MCP tool calls with branching logic, error handling, and parallel execution.

Connect OneTrust to Mastra AI

Get your token, paste the configuration, and start using 10 tools in under 2 minutes. No API key management needed.