Veracode MCP Server for OpenAI Agents SDK 10 tools — connect in under 2 minutes
The OpenAI Agents SDK enables production-grade agent workflows in Python. Connect Veracode through the Vinkius and your agents gain typed, auto-discovered tools with built-in guardrails — no manual schema definitions required.
ASK AI ABOUT THIS MCP SERVER
Vinkius supports streamable HTTP and SSE.
import asyncio
from agents import Agent, Runner
from agents.mcp import MCPServerStreamableHttp
async def main():
# Your Vinkius token — get it at cloud.vinkius.com
async with MCPServerStreamableHttp(
url="https://edge.vinkius.com/[YOUR_TOKEN_HERE]/mcp"
) as mcp_server:
agent = Agent(
name="Veracode Assistant",
instructions=(
"You help users interact with Veracode. "
"You have access to 10 tools."
),
mcp_servers=[mcp_server],
)
result = await Runner.run(
agent, "List all available tools from Veracode"
)
print(result.final_output)
asyncio.run(main())
* 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 Veracode MCP Server
Equip your AI agent with complete read and write access to your Veracode ecosystem. Seamlessly blend application security posture management alongside your typical development workflow using entirely conversational AI.
The OpenAI Agents SDK auto-discovers all 10 tools from Veracode through native MCP integration. Build agents with built-in guardrails, tracing, and handoff patterns — chain multiple agents where one queries Veracode, another analyzes results, and a third generates reports, all orchestrated through the Vinkius.
What you can do
- Unified Vulnerability Tracing — Ask the agent to list Open security findings or mitigation statuses spanning across Static (SAST), Dynamic (DAST), and Component (SCA) analytics per application.
- Deep Flaw Details — Input specific Finding IDs and let the bot explain the underlying CWE error, affected code strings, severity ratings, and automated remediation tutorials.
- Portfolio AppSec Management — List tracked applications, create novel application profiles on the fly before a commit, or request health checks mapping sandbox testing environments.
- Dynamic Scan Queries — Poll your AI intuitively ensuring it retrieves the real-time execution bounds of your scheduled Web Application Security runtime scenarios.
The Veracode MCP Server exposes 10 tools through the Vinkius. Connect it to OpenAI Agents SDK 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 Veracode to OpenAI Agents SDK via MCP
Follow these steps to integrate the Veracode MCP Server with OpenAI Agents SDK.
Install the SDK
Run pip install openai-agents in your Python environment
Replace the token
Replace [YOUR_TOKEN_HERE] with your Vinkius token from cloud.vinkius.com
Run the script
Save the code above and run it: python agent.py
Explore tools
The agent will automatically discover 10 tools from Veracode
Why Use OpenAI Agents SDK with the Veracode MCP Server
OpenAI Agents SDK provides unique advantages when paired with Veracode through the Model Context Protocol.
Native MCP integration via `MCPServerSse` — pass the URL and the SDK auto-discovers all tools with full type safety
Built-in guardrails, tracing, and handoff patterns let you build production-grade agents without reinventing safety infrastructure
Lightweight and composable: chain multiple agents and MCP servers in a single pipeline with minimal boilerplate
First-party OpenAI support ensures optimal compatibility with GPT models for tool calling and structured output
Veracode + OpenAI Agents SDK Use Cases
Practical scenarios where OpenAI Agents SDK combined with the Veracode MCP Server delivers measurable value.
Automated workflows: build agents that query Veracode, process the data, and trigger follow-up actions autonomously
Multi-agent orchestration: create specialist agents — one queries Veracode, another analyzes results, a third generates reports
Data enrichment pipelines: stream data through Veracode tools and transform it with OpenAI models in a single async loop
Customer support bots: agents query Veracode to resolve tickets, look up records, and update statuses without human intervention
Veracode MCP Tools for OpenAI Agents SDK (10)
These 10 tools become available when you connect Veracode to OpenAI Agents SDK via MCP:
create_application
Provide the app schema and profile name as a JSON string. Create a new Veracode application profile container
delete_application
This action is irreversible. Delete a Veracode application permanently
get_api_health
Check the health of Veracode connection
get_application_details
Information includes its Veracode compliance policy status, business criticality rating, deployment state, and risk scores. Get a detailed profile of a Veracode application
get_finding_details
Explains the vulnerability type (CWE), affected source file, code path, and remediation guidance. Get precise vulnerability details for a specific flaw/finding
list_applications
Most structural entities return a globally unique GUID which is required for sub-resource lookups. List all Veracode AppSec Applications
list_dynamic_analyses
List configured Dynamic Analysis (DAST) scans
list_sandboxes
List all testing sandboxes linked to an application
list_security_findings
Retrieve the unified security findings for an application
list_veracode_users
Used to manage RBAC roles. List authorized Veracode identity users
Example Prompts for Veracode in OpenAI Agents SDK
Ready-to-use prompts you can give your OpenAI Agents SDK agent to start working with Veracode immediately.
"List all applications currently monitored in our Veracode account."
"Get the detailed security profile for the application GUID 'f3b9...'."
"Explain finding ID '89' from that app and how to fix it."
Troubleshooting Veracode MCP Server with OpenAI Agents SDK
Common issues when connecting Veracode to OpenAI Agents SDK through the Vinkius, and how to resolve them.
MCPServerStreamableHttp not found
pip install --upgrade openai-agentsAgent not calling tools
Veracode + OpenAI Agents SDK FAQ
Common questions about integrating Veracode MCP Server with OpenAI Agents SDK.
How does the OpenAI Agents SDK connect to MCP?
MCPServerSse(url=...) to create a server connection. The SDK auto-discovers all tools and makes them available to your agent with full type information.Can I use multiple MCP servers in one agent?
MCPServerSse instances to the agent constructor. The agent can use tools from all connected servers within a single run.Does the SDK support streaming responses?
Connect Veracode with your favorite client
Step-by-step setup guides for every MCP-compatible client and framework:
Anthropic's native desktop app for Claude with built-in MCP support.
AI-first code editor with integrated LLM-powered coding assistance.
GitHub Copilot in VS Code with Agent mode and MCP support.
Purpose-built IDE for agentic AI coding workflows.
Autonomous AI coding agent that runs inside VS Code.
Anthropic's agentic CLI for terminal-first development.
Python SDK for building production-grade OpenAI agent workflows.
Google's framework for building production AI agents.
Type-safe agent development for Python with first-class MCP support.
TypeScript toolkit for building AI-powered web applications.
TypeScript-native agent framework for modern web stacks.
Python framework for orchestrating collaborative AI agent crews.
Leading Python framework for composable LLM applications.
Data-aware AI agent framework for structured and unstructured sources.
Microsoft's framework for multi-agent collaborative conversations.
Connect Veracode to OpenAI Agents SDK
Get your token, paste the configuration, and start using 10 tools in under 2 minutes. No API key management needed.