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How to Use the Vanta MCP in LangChain

Run complex Vanta workflows and decision chains using LangChain.

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…and any MCP-compatible client

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LangChain

Connect Vanta MCP to LangChain

Create your Vinkius account to connect Vanta to LangChain and route execution through our secure gateway. The platform manages server hosting, runtime updates, and security layers. Configuration requires no manual server provisioning.

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Audit Readiness Check

You can build a full compliance workflow. First, run `vanta_compliance_status` to check the overall posture across SOC 2, HIPAA, and GDPR. If you see critical alerts, your agent then calls `vanta_list_tests` to pinpoint which specific controls are failing, guiding you directly to the problem area.

Endpoint Compliance Audit

Start by calling `vanta_list_computers` to get an inventory of every monitored device. The output reveals OS versions and whether disk encryption is enabled. From there, you can use `vanta_list_people` to cross-reference who owns those devices and if their security training is overdue. This gives a complete view of endpoint risk.

Risk Identification Pipeline

Need to report on high-risk areas? First, run `vanta_list_risks` to pull the entire risk register. The resulting data, including impact scores and owners, can then be fed into an agent that checks for mitigating controls using `vanta_list_policies`. This helps you prioritize remediation.

Setup guide

Set up Vanta MCP in LangChain

Prerequisites

  • Python 3.10+ installed
  • langchain-mcp-adapters + langgraph packages
  • Active Vinkius subscription with a valid endpoint token
  1. 1

    Install dependencies

    Run pip install langchain-mcp-adapters langgraph langchain-openai. The MCP adapters package converts MCP tools into native LangChain BaseTool objects.

  2. 2

    Connect via HTTP transport

    Use MultiServerMCPClient with "transport": "http" pointing to your Vinkius endpoint. Replace [YOUR_TOKEN_HERE] with your token from cloud.vinkius.com.

  3. 3

    Create a ReAct agent

    Pass the discovered tools to create_react_agent() from LangGraph. The agent automatically routes Vanta tool calls through the MCP protocol.

  4. 4

    Run with any LLM

    Swap ChatOpenAI for ChatAnthropic, ChatGoogleGenerativeAI, or any LangChain-compatible model. The MCP tools work identically across all providers.

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

async with MultiServerMCPClient({
    "vanta-mcp": {
        "transport": "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,
    )
    result = await agent.ainvoke({
        "messages": "List recent Vanta transactions"
    })
    print(result["messages"][-1].content)

Independent Platform Disclaimer: Vinkius is an independent platform and is not affiliated with, endorsed by, sponsored by, verified by, or otherwise authorized by Vanta. All third-party trademarks, logos, and brand names are the property of their respective owners. Their use on this website is strictly for informational purposes to identify service compatibility and interoperability.

Why Choose Vinkius

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Real-time monitoring

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visibility into every interaction

Connect your favorite tools to your AI and see exactly what's happening — every request, every response, in real time.

Built-in savings

60%

lower AI costs

Vinkius compresses data between your apps and your AI automatically. Lower bills every month — no configuration required.

Single dashboard

One

place for every integration

Every tool your AI connects to, managed from a single screen. One account, complete control.

Common questions about Vanta MCP in LangChain

You start by calling the `vanta_compliance_status` tool. The result gives you the overall pass rate, along with a breakdown of passing/failing tests per framework like ISO 27001 or HIPAA.
Run `vanta_get_test` for the specific control you suspect is failing. This provides detailed evidence, links to controls, and lists exactly which resources are non-compliant with encryption or other requirements.
Yes. You call `vanta_list_evidence_requests` to see what documents, screenshots, and data are still needed from your team members, including who the owner is and when it's due.
It does. Use `vanta_list_vulnerabilities` to pull all detected security flaws—including the severity, CVE ID, and required remediation SLA deadline for each one.
The `vanta_list_people` tool handles employee names, emails, roles, security training completion status, device compliance state (encrypted/AV), and access review status.

Start using the Vanta MCP today

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