How to Use the Veracode MCP in OpenAI Agents SDK
Build Production Agents with OpenAI Agents SDK. Analyze Veracode vulnerabilities and manage app profiles.
Works with every AI agent you already use
…and any MCP-compatible client
Connect Veracode MCP to OpenAI Agents SDK
Create your Vinkius account to connect Veracode 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.
Manage Application Profiles via MCP Server
Need to set up a new container for testing? Use `create_application` by providing the app schema and profile name as JSON. This function lets you establish a fresh Veracode application profile.
Examine Detailed AppSec Findings
When an agent finds a flaw, it needs context. The `get_finding_details` tool explains the vulnerability type (CWE), shows the affected source file, and gives remediation steps. This means your team knows exactly what's broken and how to fix it.
List All Veracode AppSec Applications
Don't know which apps need auditing? Run `list_applications` to pull a list of all Veracode AppSec Applications. Every structural entity returns a globally unique GUID, so you can use that ID for every follow-up lookup.
Set up Veracode 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 Veracode tools at runtime. - 3
Create your Agent
Pass the MCP to
Agent(mcp_servers=[server]). The agent receives Veracode tools as native definitions — JSON schemas resolve automatically. - 4
Run the agent
Call
Runner.run(agent, prompt)to execute. The agent invokes the appropriate Veracode 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="Veracode Agent",
instructions="You have access to Veracode 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 Veracode. 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 Veracode MCP in OpenAI Agents SDK
Use it with your favorite AI tools
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