Can my agent check if specific employees have finished their security training?

Yes. Use the 'list_personnel' or 'get_personnel_status' tools. The agent retrieves the onboarding state, including Security Awareness Training completion and background check clearance for any tracked individual.

How do I monitor which compliance controls are currently failing?

Use the 'list_controls' tool to see all controls and 'get_control' for specific details. The agent will fetch exact evaluation states and automated test results to identify failing requirements and their risk logic.

Can I see my SOC 2 readiness score through natural conversation?

Absolutely. Use the 'list_frameworks' tool. Your agent will pull the top-level standard boundaries and provide overall readiness scores and aggregated control completion percentages for frameworks like SOC 2.

Drata MCP Server for OpenAI Agents SDK 10 tools — connect in under 2 minutes

Name: Drata
Availability: InStock
Author: Vinkius

openai.github.io/openai-agents-python/mcp

Built by Vinkius GDPR 10 Tools SDK

The OpenAI Agents SDK enables production-grade agent workflows in Python. Connect Drata through Vinkius and your agents gain typed, auto-discovered tools with built-in guardrails. no manual schema definitions required.

Get MCP Server for AI Agents

ASK AI ABOUT THIS MCP SERVER

Open in ChatGPT Open in Claude Open in Perplexity

Vinkius supports streamable HTTP and SSE.

python

import asyncio
from agents import Agent, Runner
from agents.mcp import MCPServerStreamableHttp

async def main():
    # Your Vinkius token. get it at cloud.vinkius.com
    async with MCPServerStreamableHttp(
        url="https://edge.vinkius.com/[YOUR_TOKEN_HERE]/mcp"
    ) as mcp_server:

        agent = Agent(
            name="Drata Assistant",
            instructions=(
                "You help users interact with Drata. "
                "You have access to 10 tools."
            ),
            mcp_servers=[mcp_server],
        )

        result = await Runner.run(
            agent, "List all available tools from Drata"
        )
        print(result.final_output)

asyncio.run(main())

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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 Drata MCP Server

Connect your Drata account to any AI agent and take full control of your continuous compliance and automated security monitoring through natural conversation.

The OpenAI Agents SDK auto-discovers all 10 tools from Drata through native MCP integration. Build agents with built-in guardrails, tracing, and handoff patterns. chain multiple agents where one queries Drata, another analyzes results, and a third generates reports, all orchestrated through Vinkius.

What you can do

Compliance Control Oversight — List internal compliance controls and fetch exact evaluation states to see if technical or administrative requirements are passing or failing
Personnel Compliance Tracking — Monitor employee and contractor directories to identify missing security training, background checks, or policy acknowledgments
Security Policy Auditing — Retrieve the overarching InfoSec documentation and extract renewal dates and completion rates to assess audit readiness
Automated Test Monitoring — Detail which technical monitors across AWS, GCP, or Azure are triggering compliance deviations in real-time
Framework Readiness — Track active compliance frameworks (SOC 2, ISO 27001, HIPAA) and get overall readiness scores and control completion percentages
Vendor Risk Management — Returns the vendor risk inventory to track security questionnaires and data risk classifications for third-party subprocessors
Cloud Asset Verification — Insight into how EC2, RDS, and other infrastructure nodes align against underlying compliance controls

The Drata MCP Server exposes 10 tools through the Vinkius. Connect it to OpenAI Agents SDK 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 Drata to OpenAI Agents SDK via MCP

Follow these steps to integrate the Drata MCP Server with OpenAI Agents SDK.

Install the SDK

Run pip install openai-agents in your Python environment

Replace the token

Replace [YOUR_TOKEN_HERE] with your Vinkius token from cloud.vinkius.com

Run the script

Save the code above and run it: python agent.py

Explore tools

The agent will automatically discover 10 tools from Drata

Why Use OpenAI Agents SDK with the Drata MCP Server

OpenAI Agents SDK provides unique advantages when paired with Drata through the Model Context Protocol.

Native MCP integration via `MCPServerSse`, pass the URL and the SDK auto-discovers all tools with full type safety

Built-in guardrails, tracing, and handoff patterns let you build production-grade agents without reinventing safety infrastructure

Lightweight and composable: chain multiple agents and MCP servers in a single pipeline with minimal boilerplate

First-party OpenAI support ensures optimal compatibility with GPT models for tool calling and structured output

Drata + OpenAI Agents SDK Use Cases

Practical scenarios where OpenAI Agents SDK combined with the Drata MCP Server delivers measurable value.

Automated workflows: build agents that query Drata, process the data, and trigger follow-up actions autonomously

Multi-agent orchestration: create specialist agents. one queries Drata, another analyzes results, a third generates reports

Data enrichment pipelines: stream data through Drata tools and transform it with OpenAI models in a single async loop

Customer support bots: agents query Drata to resolve tickets, look up records, and update statuses without human intervention

Drata MCP Tools for OpenAI Agents SDK (10)

These 10 tools become available when you connect Drata to OpenAI Agents SDK via MCP:

drata_get_control

Returns passing/failing status, which automated tests provide evidence for this control, the explicit auditor language defining the risk logic, and any manual evidence uploads. Use to investigate why a control is failing, what evidence supports it, or to prepare for auditor questions about a specific requirement. Get detailed status of a specific Drata control — pass/fail state, automated test evidence, and auditor-facing risk language

drata_get_person

Returns MDM (Jamf/Intune) enrollment status, background check clearance date, onboarding milestone completion, linked IdP (Okta/Google Workspace) groups for access control mapping, security training completion date, and any compliance gaps. Use when investigating a specific employee compliance issue. Get the compliance onboarding state of a specific employee — MDM enrollment, background checks, IdP grouping, and training milestones

drata_get_policy

Essential for assessing audit readiness regarding mandatory annual document refreshes. Get detailed status of a specific Drata policy — renewal dates, employee acknowledgment rates, owner assignment, and version history

drata_list_assets

Each asset shows: resource type, resource ID, compliance status against linked controls, encryption-at-rest verification, network boundary adherence, and associated region/VPC. Use when the user asks about infrastructure compliance, unencrypted resources, or needs an asset inventory for audit evidence. List cloud infrastructure assets monitored by Drata — EC2 instances, RDS databases, S3 buckets, and other resources with compliance status

drata_list_controls

Each control represents a specific requirement (e.g., "Passwords must be 12+ characters", "MFA enabled for all users", "Encryption at rest required"). Returns control name, description, passing/failing status, mapped framework(s), linked tests, and control owner. Use when the user asks about compliance posture, failing controls, or audit gap analysis. List all compliance controls in Drata — the discrete technical and administrative requirements mapped to SOC 2, ISO 27001, HIPAA, and GDPR frameworks

drata_list_frameworks

Each framework shows: name, version, overall readiness score, percentage of controls passing, number of controls mapped, and target audit date. Provides a high-level view of multi-framework compliance posture. Use for board-level reporting, audit planning, or determining which framework needs the most attention. List active compliance frameworks tracked by the Drata workspace — SOC 2 Type II, ISO 27001, HIPAA, GDPR, PCI DSS — with readiness scores

drata_list_personnel

Each person includes: name, email, role, employment type, Security Awareness Training status (completed/overdue/not started), device compliance (MDM enrolled, encrypted, antivirus), background check clearance, and policy acceptance rates. Use for "who is non-compliant?", "which employees have overdue training?", or pre-audit personnel reporting. List all tracked personnel in Drata with security training status, device compliance, background check clearance, and policy acceptance

drata_list_policies

Each policy includes: name, category, CISO approval status, version number, last review date, next review due, and employee acknowledgment completion rate. Policies are mandatory for SOC 2 / ISO 27001. Use when the user asks about policy status, which policies need review, or audit readiness regarding documentation. List all security and compliance policies in Drata — Information Security, Data Classification, Incident Response, Acceptable Use, and more

drata_list_tests

Each test monitors a specific technical requirement in real-time (e.g., "S3 Buckets must not be public", "GitHub branch protection enabled", "MFA enforced in Okta"). Shows test name, associated control, pass/fail status, last evaluation time, and failing resources if any. Use when the user asks about automated monitoring, which checks are failing, or real-time compliance status. List Drata automated continuous compliance tests — real-time monitors checking AWS, GitHub, Okta, and other integrations for security deviations

drata_list_vendors

Each vendor includes: company name, data risk classification (Critical/High/Medium/Low), security questionnaire completion status, SOC 2 report review status, last assessment date, data categories shared, and assigned risk owner. Use for vendor risk assessment, subprocessor audits, or evaluating the security posture of your supply chain. List third-party vendors in Drata vendor risk management — risk classification, security questionnaire status, and SOC 2 report reviews

Example Prompts for Drata in OpenAI Agents SDK

Ready-to-use prompts you can give your OpenAI Agents SDK agent to start working with Drata immediately.

"Show me all failing compliance controls"

"What is the compliance onboarding status for employee John Doe?"

"List my active compliance frameworks and readiness scores"

Troubleshooting Drata MCP Server with OpenAI Agents SDK

Common issues when connecting Drata to OpenAI Agents SDK through the Vinkius, and how to resolve them.

MCPServerStreamableHttp not found

Ensure you have the latest version: pip install --upgrade openai-agents

Agent not calling tools

Make sure your prompt explicitly references the task the tools can help with.

Drata + OpenAI Agents SDK FAQ

Common questions about integrating Drata MCP Server with OpenAI Agents SDK.

How does the OpenAI Agents SDK connect to MCP?

Use MCPServerSse(url=...) to create a server connection. The SDK auto-discovers all tools and makes them available to your agent with full type information.