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How to Use the Veracode MCP in OpenAI Agents SDK

Build Production Agents with OpenAI Agents SDK. Analyze Veracode vulnerabilities and manage app profiles.

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OpenAI Agents SDK

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.

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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.

Setup guide

Set up Veracode MCP in OpenAI Agents SDK

Prerequisites

  • Python 3.10+ installed
  • openai-agents package (pip install openai-agents)
  • Active Vinkius subscription with a valid endpoint token
  1. 1

    Install the SDK

    Run pip install openai-agents to install the OpenAI Agents SDK. The MCP integration is built-in — no extra dependencies needed.

  2. 2

    Connect via SSE transport

    Use MCPServerSse with 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. 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. 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.

agent.py
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())

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Why Choose Vinkius

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Real-time monitoring

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

Built-in savings

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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

You call `get_api_health` to confirm connectivity. It's a quick check that verifies your MCP Server link is up and running before the agent tries anything complex.
Yep, use `list_veracode_users`. This tool helps you manage who has access to your Veracode AppSec environment by listing all current roles.
Yes. `get_application_details` pulls up crucial info like the compliance policy status, business criticality rating, deployment state, and risk scores for any given app.
You can run `delete_application`. Just remember this action is irreversible, so double-check before letting the agent execute it.
This server deals with application profiles, security findings, and user identity roles. Specifically, you're managing `Veracode AppSec Applications` data.

Start using the Veracode MCP today

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