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 LangChain 10 tools — connect in under 2 minutes

Name: Drata
Availability: InStock
Author: Vinkius

python.langchain.com/docs/integrations/tools/mcp

Built by Vinkius GDPR 10 Tools Framework

LangChain is the leading Python framework for composable LLM applications. Connect Drata through Vinkius and LangChain agents can call every tool natively. combine them with retrievers, memory, and output parsers for sophisticated AI pipelines.

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 langchain_mcp_adapters.client import MultiServerMCPClient
from langchain_openai import ChatOpenAI
from langgraph.prebuilt import create_react_agent

async def main():
    # Your Vinkius token. get it at cloud.vinkius.com
    async with MultiServerMCPClient({
        "drata": {
            "transport": "streamable_http",
            "url": "https://edge.vinkius.com/[YOUR_TOKEN_HERE]/mcp",
        }
    }) as client:
        tools = client.get_tools()
        agent = create_react_agent(
            ChatOpenAI(model="gpt-4o"),
            tools,
        )
        response = await agent.ainvoke({
            "messages": [{
                "role": "user",
                "content": "Using Drata, show me what tools are available.",
            }]
        })
        print(response["messages"][-1].content)

asyncio.run(main())

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 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.

LangChain's ecosystem of 500+ components combines seamlessly with Drata through native MCP adapters. Connect 10 tools via Vinkius and use ReAct agents, Plan-and-Execute strategies, or custom agent architectures. with LangSmith tracing giving full visibility into every tool call, latency, and token cost.

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 LangChain 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 LangChain via MCP

Follow these steps to integrate the Drata MCP Server with LangChain.

Install dependencies

Run pip install langchain langchain-mcp-adapters langgraph langchain-openai

Replace the token

Replace [YOUR_TOKEN_HERE] with your Vinkius token

Run the agent

Save the code and run python agent.py

Explore tools

The agent discovers 10 tools from Drata via MCP

Why Use LangChain with the Drata MCP Server

LangChain provides unique advantages when paired with Drata through the Model Context Protocol.

The largest ecosystem of integrations, chains, and agents. combine Drata MCP tools with 500+ LangChain components

Agent architecture supports ReAct, Plan-and-Execute, and custom strategies with full MCP tool access at every step

LangSmith tracing gives you complete visibility into tool calls, latencies, and token usage for production debugging

Memory and conversation persistence let agents maintain context across Drata queries for multi-turn workflows

Drata + LangChain Use Cases

Practical scenarios where LangChain combined with the Drata MCP Server delivers measurable value.

RAG with live data: combine Drata tool results with vector store retrievals for answers grounded in both real-time and historical data

Autonomous research agents: LangChain agents query Drata, synthesize findings, and generate comprehensive research reports

Multi-tool orchestration: chain Drata tools with web scrapers, databases, and calculators in a single agent run

Production monitoring: use LangSmith to trace every Drata tool call, measure latency, and optimize your agent's performance

Drata MCP Tools for LangChain (10)

These 10 tools become available when you connect Drata to LangChain 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 LangChain

Ready-to-use prompts you can give your LangChain 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 LangChain

Common issues when connecting Drata to LangChain through the Vinkius, and how to resolve them.

MultiServerMCPClient not found

Install: pip install langchain-mcp-adapters

Drata + LangChain FAQ

Common questions about integrating Drata MCP Server with LangChain.

How does LangChain connect to MCP servers?

Use langchain-mcp-adapters to create an MCP client. LangChain discovers all tools and wraps them as native LangChain tools compatible with any agent type.

Which LangChain agent types work with MCP?

All agent types including ReAct, OpenAI Functions, and custom agents work with MCP tools. The tools appear as standard LangChain tools after the adapter wraps them.