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HCL AppScan MCP Server for LlamaIndex 10 tools — connect in under 2 minutes

Built by Vinkius GDPR 10 Tools Framework

LlamaIndex specializes in data-aware AI agents that connect LLMs to structured and unstructured sources. Add HCL AppScan as an MCP tool provider through Vinkius and your agents can query, analyze, and act on live data alongside your existing indexes.

Vinkius supports streamable HTTP and SSE.

python
import asyncio
from llama_index.tools.mcp import BasicMCPClient, McpToolSpec
from llama_index.core.agent.workflow import FunctionAgent
from llama_index.llms.openai import OpenAI

async def main():
    # Your Vinkius token. get it at cloud.vinkius.com
    mcp_client = BasicMCPClient("https://edge.vinkius.com/[YOUR_TOKEN_HERE]/mcp")
    mcp_tool_spec = McpToolSpec(client=mcp_client)
    tools = await mcp_tool_spec.to_tool_list_async()

    agent = FunctionAgent(
        tools=tools,
        llm=OpenAI(model="gpt-4o"),
        system_prompt=(
            "You are an assistant with access to HCL AppScan. "
            "You have 10 tools available."
        ),
    )

    response = await agent.run(
        "What tools are available in HCL AppScan?"
    )
    print(response)

asyncio.run(main())
HCL AppScan
Fully ManagedVinkius Servers
60%Token savings
High SecurityEnterprise-grade
IAMAccess control
EU AI ActCompliant
DLPData protection
V8 IsolateSandboxed
Ed25519Audit chain
<40msKill switch
Stream every event to Splunk, Datadog, or your own webhook in real-time

* 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).

LlamaIndex agents combine HCL AppScan tool responses with indexed documents for comprehensive, grounded answers. Connect 10 tools through Vinkius and query live data alongside vector stores and SQL databases in a single turn. ideal for hybrid search, data enrichment, and analytical workflows.

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 LlamaIndex 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 LlamaIndex via MCP

Follow these steps to integrate the HCL AppScan MCP Server with LlamaIndex.

01

Install dependencies

Run pip install llama-index-tools-mcp llama-index-llms-openai

02

Replace the token

Replace [YOUR_TOKEN_HERE] with your Vinkius token

03

Run the agent

Save to agent.py and run: python agent.py

04

Explore tools

The agent discovers 10 tools from HCL AppScan

Why Use LlamaIndex with the HCL AppScan MCP Server

LlamaIndex provides unique advantages when paired with HCL AppScan through the Model Context Protocol.

01

Data-first architecture: LlamaIndex agents combine HCL AppScan tool responses with indexed documents for comprehensive, grounded answers

02

Query pipeline framework lets you chain HCL AppScan tool calls with transformations, filters, and re-rankers in a typed pipeline

03

Multi-source reasoning: agents can query HCL AppScan, a vector store, and a SQL database in a single turn and synthesize results

04

Observability integrations show exactly what HCL AppScan tools were called, what data was returned, and how it influenced the final answer

HCL AppScan + LlamaIndex Use Cases

Practical scenarios where LlamaIndex combined with the HCL AppScan MCP Server delivers measurable value.

01

Hybrid search: combine HCL AppScan real-time data with embedded document indexes for answers that are both current and comprehensive

02

Data enrichment: query HCL AppScan to augment indexed data with live information before generating user-facing responses

03

Knowledge base agents: build agents that maintain and update knowledge bases by periodically querying HCL AppScan for fresh data

04

Analytical workflows: chain HCL AppScan queries with LlamaIndex's data connectors to build multi-source analytical reports

HCL AppScan MCP Tools for LlamaIndex (10)

These 10 tools become available when you connect HCL AppScan to LlamaIndex via MCP:

01

get_account_check

Verify AppScan account connection

02

get_account_info

Retrieve authenticated user information

03

get_app

Get details for a specific application

04

get_issue

Get detailed information about a specific vulnerability

05

get_scan

Get details and status for a specific scan

06

list_apps

List all applications in your AppScan inventory

07

list_issues

List vulnerabilities found for a specific application

08

list_presence

List AppScan Presences (local agents)

09

list_scans

List all scans performed in the account

10

start_dast_scan

Start a new Dynamic Analysis (DAST) scan

Example Prompts for HCL AppScan in LlamaIndex

Ready-to-use prompts you can give your LlamaIndex agent to start working with HCL AppScan immediately.

01

"List all applications in my AppScan inventory."

02

"Show me high severity issues for application 'Customer Portal'."

03

"Start a new DAST scan for appId '12345' with URL 'https://portal.example.com'."

Troubleshooting HCL AppScan MCP Server with LlamaIndex

Common issues when connecting HCL AppScan to LlamaIndex through the Vinkius, and how to resolve them.

01

BasicMCPClient not found

Install: pip install llama-index-tools-mcp

HCL AppScan + LlamaIndex FAQ

Common questions about integrating HCL AppScan MCP Server with LlamaIndex.

01

How does LlamaIndex connect to MCP servers?

Use the MCP client adapter to create a connection. LlamaIndex discovers all tools and wraps them as query engine tools compatible with any LlamaIndex agent.
02

Can I combine MCP tools with vector stores?

Yes. LlamaIndex agents can query HCL AppScan tools and vector store indexes in the same turn, combining real-time and embedded data for grounded responses.
03

Does LlamaIndex support async MCP calls?

Yes. LlamaIndex's async agent framework supports concurrent MCP tool calls for high-throughput data processing pipelines.

Connect HCL AppScan to LlamaIndex

Get your token, paste the configuration, and start using 10 tools in under 2 minutes. No API key management needed.