OneTrust MCP Server for Pydantic AI 10 tools — connect in under 2 minutes
Pydantic AI brings type-safe agent development to Python with first-class MCP support. Connect OneTrust through Vinkius and every tool is automatically validated against Pydantic schemas. catch errors at build time, not in production.
ASK AI ABOUT THIS MCP SERVER
Vinkius supports streamable HTTP and SSE.
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 OneTrust "
"(10 tools)."
),
)
result = await agent.run(
"What tools are available in OneTrust?"
)
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 OneTrust MCP Server
Connect your OneTrust account to any AI agent and manage privacy compliance, vendor risks, and data governance through natural conversation.
Pydantic AI validates every OneTrust tool response against typed schemas, catching data inconsistencies at build time. Connect 10 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
- 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 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.
How to Connect OneTrust to Pydantic AI via MCP
Follow these steps to integrate the OneTrust MCP Server with Pydantic AI.
Install Pydantic AI
Run pip install pydantic-ai
Replace the token
Replace [YOUR_TOKEN_HERE] with your Vinkius token
Run the agent
Save to agent.py and run: python agent.py
Explore tools
The agent discovers 10 tools from OneTrust with type-safe schemas
Why Use Pydantic AI with the OneTrust MCP Server
Pydantic AI provides unique advantages when paired with OneTrust 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 OneTrust integration code
Structured output guarantee: Pydantic AI ensures tool results conform to defined schemas, eliminating runtime type errors
Dependency injection system cleanly separates your OneTrust connection logic from agent behavior for testable, maintainable code
OneTrust + Pydantic AI Use Cases
Practical scenarios where Pydantic AI combined with the OneTrust MCP Server delivers measurable value.
Type-safe data pipelines: query OneTrust with guaranteed response schemas, feeding validated data into downstream processing
API orchestration: chain multiple OneTrust tool calls with Pydantic validation at each step to ensure data integrity end-to-end
Production monitoring: build validated alert agents that query OneTrust and output structured, schema-compliant notifications
Testing and QA: use Pydantic AI's dependency injection to mock OneTrust responses and write comprehensive agent tests
OneTrust MCP Tools for Pydantic AI (10)
These 10 tools become available when you connect OneTrust to Pydantic AI via MCP:
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
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
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
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
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
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
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
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
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
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 Pydantic AI
Ready-to-use prompts you can give your Pydantic AI agent to start working with OneTrust immediately.
"How many open data subject requests do we have?"
"Which vendors have overdue security assessments?"
"Show the data map for our CRM system."
Troubleshooting OneTrust MCP Server with Pydantic AI
Common issues when connecting OneTrust to Pydantic AI through the Vinkius, and how to resolve them.
MCPServerHTTP not found
pip install --upgrade pydantic-aiOneTrust + Pydantic AI FAQ
Common questions about integrating OneTrust 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.Does Pydantic AI validate MCP tool responses?
Can I switch LLM providers without changing MCP code?
Connect OneTrust with your favorite client
Step-by-step setup guides for every MCP-compatible client and framework:
Anthropic's native desktop app for Claude with built-in MCP support.
AI-first code editor with integrated LLM-powered coding assistance.
GitHub Copilot in VS Code with Agent mode and MCP support.
Purpose-built IDE for agentic AI coding workflows.
Autonomous AI coding agent that runs inside VS Code.
Anthropic's agentic CLI for terminal-first development.
Python SDK for building production-grade OpenAI agent workflows.
Google's framework for building production AI agents.
Type-safe agent development for Python with first-class MCP support.
TypeScript toolkit for building AI-powered web applications.
TypeScript-native agent framework for modern web stacks.
Python framework for orchestrating collaborative AI agent crews.
Leading Python framework for composable LLM applications.
Data-aware AI agent framework for structured and unstructured sources.
Microsoft's framework for multi-agent collaborative conversations.
Connect OneTrust to Pydantic AI
Get your token, paste the configuration, and start using 10 tools in under 2 minutes. No API key management needed.
