Pentest-Tools.com CLI & MCP Server
MCP serverSecurityThis app connects your AI to Pentest-Tools.com so security testing can be handled through a conversation. Once added, your AI can start scans, keep track of what they turn up, and manage the resulting reports.
Available today. Use it from your connected AI after setup.
Needs your own account with this service. Credentials stay encrypted.
After adding it, ask your AI to run a scan on a target or pull up your existing findings. The work is carried out through Pentest-Tools.com while you stay in the conversation.
Then ask your AI: use Pentest-Tools.com CLI & MCP Server
What your AI can do with it
- Launch security scans on Pentest-Tools.com
- Review and organize scan findings
- Create and manage scan reports
- Do all of this through your own AI assistant
From the project's README
As published by pentesttoolscom/pentesttools-pypi in README.md.
Command-line interface, Python bindings, and MCP server for Pentest-Tools.com, a platform for scanning web applications and network infrastructure for vulnerabilities.
MCP Server
Connect any MCP-compatible AI assistant to your Pentest-Tools.com account to run scans, triage findings, and generate reports. You'll need an API key from a paid plan. Get one at My Account > API.
Supported clients: Claude, Cursor, VS Code, Gemini CLI, and any MCP-compatible tool. Full documentation: pentest-tools.com/docs/ai/mcp/overview
What you can do
- Run Website Scanner, Subdomain Finder, and Network Scanner scans
- Manage targets, workspaces, scans, and findings
- Generate and download reports, including translated reports for regional teams
- Chain tools into multi-phase workflows that include recon, vulnerability triage, and executive summaries, through plain language prompts
Quick setup: remote server (recommended)
For terminal-based clients, use directly:
Claude Code
claude mcp add --transport http ptt-mcp https://mcp.pentest-tools.com/mcp --header "Authorization: Bearer your_api_key_here"
Gemini CLI
gemini mcp add ptt-mcp --transport http https://mcp.pentest-tools.com/mcp --header "Authorization: Bearer your_api_key_here"
Cursor: paste this URL in your browser for one-click install, then add your API key:
cursor://anysphere.cursor-deeplink/mcp/install?name=ptt-mcp&config=eyJ1cmwiOiJodHRwczovL21jcC5wZW50ZXN0LXRvb2xzLmNvbS9tY3AiLCJoZWFkZXJzIjp7IkF1dGhvcml6YXRpb24iOiJCZWFyZXIgeW91cl9hcGlfa2V5X2hlcmUifX0=
Or manually add according to your preferred agent and config file location:
{
"servers": {
"ptt-mcp": {
"type": "http",
"url": "https://mcp.pentest-tools.com/mcp",
"headers": { "Authorization": "Bearer your_api_key_here" }
}
}
}
Local server
Requires Python 3.10+.
pip install "pentesttools[mcp]"
PTT_API_KEY=your_api_key_here ptt mcp
You can also pass the key inline: --key your_api_key_here. For client-specific local setup, see the full documentation.
CLI
Run scans from the terminal or integrate PTT into your scripts and CI/CD pipelines.
For AI assistant integration, see the MCP Server section above.
Installing
PentestTools Python module is delivered through PyPI, so it can be installed directly via pip:
pip install pentesttools
Usage
The pentesttools package provides a command line interface through the ptt utility. Right
now it supports the Website Scanner service.
Example for the simplest scan:
ptt run website_scanner <url>
This runs a freemium Website Scanner scan on the <url>. Unlike in the platform itself, you can omit the schema part from the url.
Global arguments, like a suitable key for a deep scan, have to be passed straight to ptt. Tool arguments have to be passed to the tool.
ptt --key <key> run website_scanner --scan_type deep <url>
If you want the command to fail if the report contains vulnerabilities with a higher risk than some value, you can use the --fail argument.
ptt --fail high run website_scanner <url>
You can also run ptt using docker. The docker image has ptt as an entrypoint, so you don't have to type it anymore. Note that the old ptt-scan name is still used on docker.
docker run pentesttoolscom/ptt-scan:latest run website_scanner <url>
Development installation
If you want to easily modify the sources and your modifications:
pip install --edit .
Uninstalling
pip uninstall pentesttools
Testing and Coverage
You can run the tests and make coverage reports like this:
python3 -m pytest src/tests
coverage run -m pytest src/tests
coverage report -m
Signals
- GitHub stars
- 3
- Last commit
- Aug 2026
Advanced
- Delivery
- mcp-server MCP server → your ahel gateway (mcp.ahel.ai) → every connected AI client.
- Catalog kind
- mcp-server
- Gateway key
com-pentest-tools-mcp-server- Source
- github.com/pentesttoolscom/pentesttools-pypi
- Hosted endpoint
https://mcp.pentest-tools.com/mcp