How to Use the Vanta MCP in OpenAI Agents SDK
Automated compliance checks and security posture reporting with OpenAI Agents SDK.
Works with every AI agent you already use
…and any MCP-compatible client
Connect Vanta MCP to OpenAI Agents SDK
Create your Vinkius account to connect Vanta to OpenAI Agents SDK and route execution through our secure gateway. The platform manages server hosting, runtime updates, and security layers. Configuration requires no manual server provisioning.
Get a full compliance dashboard for your AI client.
Need to know if you're audit-ready? The `vanta_compliance_status` tool gives you the overall pass rate, shows which frameworks (like SOC 2 or HIPAA) are lagging, and tracks critical alerts that need fixing immediately. It pulls everything into one place so your agent doesn't waste time running five different reports. You get the full compliance picture instantly.
Check every device for non-compliance.
Use `vanta_list_computers` to audit all your endpoints—laptops and desktops, period. It lists the OS version, if disk encryption is on, and whether antivirus is running correctly. This lets your agent identify exactly which machines are non-compliant before an auditor walks in the door.
Track outstanding audit evidence requests.
Ever wonder who owes what for an audit? The `vanta_list_evidence_requests` tool lists every document or screenshot needed from your team. You see the owner, the deadline, and the specific control it relates to. Your AI client uses this to generate a clear task list: 'Hey Bob, you need to submit those access logs by Friday.'
Set up Vanta MCP in OpenAI Agents SDK
Prerequisites
- Python 3.10+ installed
-
openai-agentspackage (pip install openai-agents) - Active Vinkius subscription with a valid endpoint token
- 1
Install the SDK
Run
pip install openai-agentsto install the OpenAI Agents SDK. The MCP integration is built-in — no extra dependencies needed. - 2
Connect via SSE transport
Use
MCPServerSsewith your Vinkius endpoint URL. Replace[YOUR_TOKEN_HERE]with your token from cloud.vinkius.com. The SDK auto-discovers all Vanta tools at runtime. - 3
Create your Agent
Pass the MCP to
Agent(mcp_servers=[server]). The agent receives Vanta tools as native definitions — JSON schemas resolve automatically. - 4
Run the agent
Call
Runner.run(agent, prompt)to execute. The agent invokes the appropriate Vanta tools and returns structured results. Copy the full example on the right to get started.
import asyncio
from agents import Agent, Runner
from agents.mcp import MCPServerSse
async def main():
async with MCPServerSse(
url="https://edge.vinkius.com/[YOUR_TOKEN_HERE]/mcp"
) as server:
agent = Agent(
name="Vanta Agent",
instructions="You have access to Vanta tools.",
mcp_servers=[server],
)
result = await Runner.run(agent, "List recent transactions")
print(result.final_output)
asyncio.run(main()) 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
Vinkius connects your tools to AI with real-time monitoring and automatic cost savings — all from one dashboard.
Real-time monitoring
Live
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 OpenAI Agents SDK
Use it with your favorite AI tools
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