HCL AppScan MCP Server for LangChain 10 tools — connect in under 2 minutes
LangChain is the leading Python framework for composable LLM applications. Connect HCL AppScan through the Vinkius and LangChain agents can call every tool natively — combine them with retrievers, memory, and output parsers for sophisticated AI pipelines.
ASK AI ABOUT THIS MCP SERVER
Vinkius supports streamable HTTP and SSE.
import asyncio
from langchain_mcp_adapters.client import MultiServerMCPClient
from langchain_openai import ChatOpenAI
from langgraph.prebuilt import create_react_agent
async def main():
# Your Vinkius token — get it at cloud.vinkius.com
async with MultiServerMCPClient({
"hcl-appscan": {
"transport": "streamable_http",
"url": "https://edge.vinkius.com/[YOUR_TOKEN_HERE]/mcp",
}
}) as client:
tools = client.get_tools()
agent = create_react_agent(
ChatOpenAI(model="gpt-4o"),
tools,
)
response = await agent.ainvoke({
"messages": [{
"role": "user",
"content": "Using HCL AppScan, show me what tools are available.",
}]
})
print(response["messages"][-1].content)
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).
LangChain's ecosystem of 500+ components combines seamlessly with HCL AppScan through native MCP adapters. Connect 10 tools via the Vinkius and use ReAct agents, Plan-and-Execute strategies, or custom agent architectures — with LangSmith tracing giving full visibility into every tool call, latency, and token cost.
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 LangChain 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 LangChain via MCP
Follow these steps to integrate the HCL AppScan MCP Server with LangChain.
Install dependencies
Run pip install langchain langchain-mcp-adapters langgraph langchain-openai
Replace the token
Replace [YOUR_TOKEN_HERE] with your Vinkius token
Run the agent
Save the code and run python agent.py
Explore tools
The agent discovers 10 tools from HCL AppScan via MCP
Why Use LangChain with the HCL AppScan MCP Server
LangChain provides unique advantages when paired with HCL AppScan through the Model Context Protocol.
The largest ecosystem of integrations, chains, and agents — combine HCL AppScan MCP tools with 500+ LangChain components
Agent architecture supports ReAct, Plan-and-Execute, and custom strategies with full MCP tool access at every step
LangSmith tracing gives you complete visibility into tool calls, latencies, and token usage for production debugging
Memory and conversation persistence let agents maintain context across HCL AppScan queries for multi-turn workflows
HCL AppScan + LangChain Use Cases
Practical scenarios where LangChain combined with the HCL AppScan MCP Server delivers measurable value.
RAG with live data: combine HCL AppScan tool results with vector store retrievals for answers grounded in both real-time and historical data
Autonomous research agents: LangChain agents query HCL AppScan, synthesize findings, and generate comprehensive research reports
Multi-tool orchestration: chain HCL AppScan tools with web scrapers, databases, and calculators in a single agent run
Production monitoring: use LangSmith to trace every HCL AppScan tool call, measure latency, and optimize your agent's performance
HCL AppScan MCP Tools for LangChain (10)
These 10 tools become available when you connect HCL AppScan to LangChain 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 LangChain
Ready-to-use prompts you can give your LangChain 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 LangChain
Common issues when connecting HCL AppScan to LangChain through the Vinkius, and how to resolve them.
MultiServerMCPClient not found
pip install langchain-mcp-adaptersHCL AppScan + LangChain FAQ
Common questions about integrating HCL AppScan MCP Server with LangChain.
How does LangChain connect to MCP servers?
langchain-mcp-adapters to create an MCP client. LangChain discovers all tools and wraps them as native LangChain tools compatible with any agent type.Which LangChain agent types work with MCP?
Can I trace MCP tool calls in LangSmith?
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 LangChain
Get your token, paste the configuration, and start using 10 tools in under 2 minutes. No API key management needed.