io.github.rijul170/qualys-mcp
A Model Context Protocol server for full Qualys portal management — expose VMDR, Policy Compliance, WAS, Cloud Agent, Container Security, TotalCloud, Patch Management, CSAM/GAV, EASM and administration to any MCP‑capable client.
README
<!-- mcp-name: io.github.rijul170/qualys-mcp -->
Qualys MCP
A Model Context Protocol server for full Qualys portal management — expose VMDR, Policy Compliance, WAS, Cloud Agent, Container Security, TotalCloud, Patch Management, CSAM/GAV, EASM and administration to any MCP‑capable client (Claude, and other MCP hosts).
<p> <a href="https://github.com/rijul170/qualys-mcp/actions/workflows/ci.yml"><img alt="CI" src="https://github.com/rijul170/qualys-mcp/actions/workflows/ci.yml/badge.svg"></a> <img alt="Python" src="https://img.shields.io/badge/python-3.11%2B-blue.svg"> <img alt="License: MIT" src="https://img.shields.io/badge/license-MIT-green.svg"> <img alt="MCP" src="https://img.shields.io/badge/MCP-server-black.svg"> <img alt="Tools" src="https://img.shields.io/badge/tools-400%2B-orange.svg"> </p>
One process per Qualys console (run as many as you have subscriptions). Built on FastMCP, with a single client that speaks all three Qualys API families, a strict read / write / destructive safety model, and credentials that never touch chat or plaintext.
Highlights
- Broad coverage — 59 auto‑discovered feature modules spanning the whole portal: VMDR, PC, WAS, Cloud Agent, Container Security, TotalCloud/CloudView, Patch Management, CSAM/GAV, EASM, FIM, EDR, PCRS, and administration.
- ~400 tools —
list_hosts,list_host_detections,launch_scan,search_was_findings,list_knowledgebase,get_cs_image_vulnerabilities, and hundreds more, each mapped 1:1 to a documented Qualys API operation. - Three API regimes, one client — the classic "FO" XML API, the QPS REST
API, and the JWT‑authenticated Gateway are all handled behind
self._fo/self._qps/self._gateway. - Safety tiers are load‑bearing — every tool is annotated read‑only, write, or destructive. Destructive tools (delete / purge / deactivate) are not even registered unless you opt in per console, and still require a per‑call confirmation token.
- Lazy auth — no network calls at import or construction;
--checkruns fully offline with no credentials. - Secrets stay secret — on Windows, credentials live only in DPAPI‑encrypted blobs; on any OS you can supply them via environment variables. Nothing is ever written to the repo.
The three API regimes
| Regime | Base path | Auth | Payload |
|---|---|---|---|
| Classic "FO" | /api/2.0/fo/, /msp/ |
Basic + X-Requested-With header |
form → XML |
| QPS REST | /qps/rest/ |
Basic | XML <ServiceRequest> / JSON |
| Gateway | gateway.<pod>.apps.qualys.com |
Bearer JWT (from /auth) |
JSON |
Architecture
qualys_mcp/
server.py FastMCP server; lazy auth; --check offline validation
registry.py auto-discovers modules/*.py
client.py one client, three API regimes (FO / QPS / Gateway-JWT)
config.py per-console config + platform (POD) -> URL map
common/ auth (HTTP mw), errors, logging, rate_limit, utils, xml
modules/ base.py + one file per feature module (the bulk of the surface)
Adding a capability is just dropping a file in qualys_mcp/modules/ — see
docs/MODULE_BUILD_GUIDE.md.
Quick start
1. Install
python -m venv .venv
# Windows: .\.venv\Scripts\pip install -e .
# macOS/Linux: ./.venv/bin/pip install -e .
2. Offline sanity check (no credentials required)
python -m qualys_mcp --check
Lists every discovered module with its tool count and exits — a good first smoke test.
3. Provide credentials
You need a Qualys API user and your platform/POD code (e.g. US1, US2,
EU1; find it under your console URL or Help → About).
Any OS — environment variables:
export QUALYS_USERNAME='api-user'
export QUALYS_PASSWORD='api-pass'
export QUALYS_PLATFORM='US2' # or set QUALYS_API_URL / QUALYS_GATEWAY_URL
python -m qualys_mcp --transport streamable-http --host 127.0.0.1 --port 8781 --console-label consulting
Windows — DPAPI‑encrypted blobs (recommended for a persistent deployment):
# Encrypt once per console; the blob is user-scoped and stored under .secrets/
.\encrypt-qualys-creds.ps1 -Console consulting -Platform US2
.\encrypt-qualys-creds.ps1 -Console cloud -Platform US2
# Launch one instance per console (:8781, :8782)
.\start-qualys-mcp.ps1
# ...opt into destructive tools for a console only when you mean it:
.\start-qualys-mcp.ps1 -EnableDestructive cloud
# Optional: keep both alive across reboots via a Scheduled Task watchdog
.\register-qualys-mcp-task.ps1
See .env.example for every QUALYS_* setting.
4. Point your MCP client at it
A ready‑to‑use .mcp.json is included for Claude Code:
{
"mcpServers": {
"qualys-consulting": { "type": "http", "url": "http://localhost:8781/mcp" },
"qualys-cloud": { "type": "http", "url": "http://localhost:8782/mcp" }
}
}
scripts/register_mcp_clients.py shows how to register the same local‑HTTP
servers into several MCP clients at once.
Safety model
- Tools are annotated read‑only, write, or destructive.
- Destructive tools (delete, purge, deactivate, uninstall) are not registered
unless the console runs with
QUALYS_ENABLE_DESTRUCTIVE=true. - Even when enabled, each destructive tool requires a matching
confirm=<id>argument before it will act — so a destructive call can never happen by accident from a single prompt.
Read docs/SAFETY_AUDIT.md for the full tiering.
Module & tool inventory
- 59 modules auto‑discovered from
qualys_mcp/modules/. - ~360 tools registered by default; ~400 with
QUALYS_ENABLE_DESTRUCTIVE=true(the extra ~40 are the guarded destructive tools that otherwise stay hidden). - Spread across the three API regimes, with a handful of modules spanning two.
The full per‑module table (registry name, API family, tool counts, one‑line description) is in docs/MODULE_INDEX.md, and a complete endpoint → tool → action breakdown is in docs/ENDPOINTS_TOOLS_ACTIONS.md.
Configuration reference
| Variable | Purpose |
|---|---|
QUALYS_USERNAME / QUALYS_PASSWORD |
API user credentials |
QUALYS_PLATFORM |
POD code (US1…KSA1) — auto‑fills API + Gateway URLs |
QUALYS_API_URL / QUALYS_GATEWAY_URL |
Explicit overrides for unlisted PODs |
QUALYS_CONSOLE_LABEL |
Names the console in logs and the server name |
QUALYS_ENABLE_DESTRUCTIVE |
true to register the destructive tier |
QUALYS_MCP_MODULES |
Comma‑separated allowlist to scope a console to its licensed modules |
QUALYS_MCP_API_KEY |
Optional shared secret for the HTTP transport |
Development
pip install -e ".[dev]"
python -m qualys_mcp --check # offline validation
pytest # unit tests (no network)
ruff check . # lint
Contributions welcome — see CONTRIBUTING.md.
Disclaimer
This is an independent, community project. It is not affiliated with, endorsed by, or supported by Qualys, Inc. "Qualys" and product names are trademarks of their respective owners. Use against your own subscriptions in accordance with your Qualys license and API terms. The software is provided "as is" (see LICENSE); you are responsible for what you run against your environment — especially the destructive tier.
Star history
<a href="https://star-history.com/#rijul170/qualys-mcp&Date"> <img alt="Star History Chart" src="https://api.star-history.com/svg?repos=rijul170/qualys-mcp&type=Date"> </a>
License
MIT © 2026 Rijul Sharma
Recommended Servers
playwright-mcp
A Model Context Protocol server that enables LLMs to interact with web pages through structured accessibility snapshots without requiring vision models or screenshots.
Magic Component Platform (MCP)
An AI-powered tool that generates modern UI components from natural language descriptions, integrating with popular IDEs to streamline UI development workflow.
Audiense Insights MCP Server
Enables interaction with Audiense Insights accounts via the Model Context Protocol, facilitating the extraction and analysis of marketing insights and audience data including demographics, behavior, and influencer engagement.
VeyraX MCP
Single MCP tool to connect all your favorite tools: Gmail, Calendar and 40 more.
graphlit-mcp-server
The Model Context Protocol (MCP) Server enables integration between MCP clients and the Graphlit service. Ingest anything from Slack to Gmail to podcast feeds, in addition to web crawling, into a Graphlit project - and then retrieve relevant contents from the MCP client.
Kagi MCP Server
An MCP server that integrates Kagi search capabilities with Claude AI, enabling Claude to perform real-time web searches when answering questions that require up-to-date information.
E2B
Using MCP to run code via e2b.
Neon Database
MCP server for interacting with Neon Management API and databases
Exa Search
A Model Context Protocol (MCP) server lets AI assistants like Claude use the Exa AI Search API for web searches. This setup allows AI models to get real-time web information in a safe and controlled way.
Qdrant Server
This repository is an example of how to create a MCP server for Qdrant, a vector search engine.