HCL AppScan 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 HCL AppScan 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="HCL AppScan Assistant",
instructions=(
"You help users interact with HCL AppScan. "
"You have access to 10 tools."
),
mcp_servers=[mcp_server],
)
result = await Runner.run(
agent, "List all available tools from HCL AppScan"
)
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 HCL AppScan MCP Server
The HCL AppScan MCP Server brings powerful application security testing capabilities directly to your AI agent. Seamlessly manage your security posture by monitoring vulnerabilities, tracking scan progress, and auditing your application inventory across HCL AppScan on Cloud (ASoC).
The OpenAI Agents SDK auto-discovers all 10 tools from HCL AppScan through native MCP integration. Build agents with built-in guardrails, tracing, and handoff patterns — chain multiple agents where one queries HCL AppScan, another analyzes results, and a third generates reports, all orchestrated through the Vinkius.
Key Features
- Inventory Management — List and search for applications in your security inventory to find their unique IDs.
- Vulnerability Tracking — Retrieve detailed lists of security issues found during scans, including severity and status.
- Scan Oversight — Monitor all performed scans and check the real-time status of active security tests.
- Dynamic Analysis (DAST) — Start new DAST scans for your web applications directly from your chat interface.
- Agent & Presence Monitoring — List available Presences (local agents) used for scanning internal applications.
- Real-time Insights — Get instant summaries of your security findings and prioritize remediation efforts.
The HCL AppScan 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 HCL AppScan to OpenAI Agents SDK via MCP
Follow these steps to integrate the HCL AppScan 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 HCL AppScan
Why Use OpenAI Agents SDK with the HCL AppScan MCP Server
OpenAI Agents SDK provides unique advantages when paired with HCL AppScan 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
HCL AppScan + OpenAI Agents SDK Use Cases
Practical scenarios where OpenAI Agents SDK combined with the HCL AppScan MCP Server delivers measurable value.
Automated workflows: build agents that query HCL AppScan, process the data, and trigger follow-up actions autonomously
Multi-agent orchestration: create specialist agents — one queries HCL AppScan, another analyzes results, a third generates reports
Data enrichment pipelines: stream data through HCL AppScan tools and transform it with OpenAI models in a single async loop
Customer support bots: agents query HCL AppScan to resolve tickets, look up records, and update statuses without human intervention
HCL AppScan MCP Tools for OpenAI Agents SDK (10)
These 10 tools become available when you connect HCL AppScan to OpenAI Agents SDK via MCP:
get_account_check
Verify AppScan account connection
get_account_info
Retrieve authenticated user information
get_app
Get details for a specific application
get_issue
Get detailed information about a specific vulnerability
get_scan
Get details and status for a specific scan
list_apps
List all applications in your AppScan inventory
list_issues
List vulnerabilities found for a specific application
list_presence
List AppScan Presences (local agents)
list_scans
List all scans performed in the account
start_dast_scan
Start a new Dynamic Analysis (DAST) scan
Example Prompts for HCL AppScan in OpenAI Agents SDK
Ready-to-use prompts you can give your OpenAI Agents SDK agent to start working with HCL AppScan immediately.
"List all applications in my AppScan inventory."
"Show me high severity issues for application 'Customer Portal'."
"Start a new DAST scan for appId '12345' with URL 'https://portal.example.com'."
Troubleshooting HCL AppScan MCP Server with OpenAI Agents SDK
Common issues when connecting HCL AppScan to OpenAI Agents SDK through the Vinkius, and how to resolve them.
MCPServerStreamableHttp not found
pip install --upgrade openai-agentsAgent not calling tools
HCL AppScan + OpenAI Agents SDK FAQ
Common questions about integrating HCL AppScan 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 HCL AppScan 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 HCL AppScan to OpenAI Agents SDK
Get your token, paste the configuration, and start using 10 tools in under 2 minutes. No API key management needed.