# mcp-server

**Category:** 🔒 Security  
**Repository:** https://github.com/pentesttoolscom/pentesttools-pypi  
**Views:** 0  
**Installs:** 0  
**Upvotes:** 0  
**Directory Page:** https://allmcps.com/mcp/mcp-server-38

## Description
MCP server for Pentest-Tools.com: run scans, manage findings and reports via your preffered LLM.

## Claude Desktop Quick Installation
Heuristic fallback — verify the package name and runner against the repository README before running it. Uses `npx` (confidence: low):

```json
"mcpServers": {
  "mcp-server": {
    "command": "npx",
    "args": ["-y","mcp-server-38"]
  }
}
```

## Documentation & README

# Pentest-Tools.com CLI & MCP Server

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](https://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](https://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**

```bash
claude mcp add --transport http ptt-mcp https://mcp.pentest-tools.com/mcp --header "Authorization: Bearer your_api_key_here"
```

**Gemini CLI**

```bash
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+.

```bash
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](https://pentest-tools.com/docs/ai/mcp/overview).

# CLI

Run scans from the terminal or integrate PTT into your scripts and CI/CD pipelines.

> For AI assistant integration, see the [MCP Server](#mcp-server) section above.

## Installing

PentestTools Python module is delivered through PyPI, so it can be installed directly via pip:

```bash
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:

```bash
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.

```bash
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`.

```bash
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.

```bash
docker run pentesttoolscom/ptt-scan:latest run website_scanner <url>
```

## Development installation

If you want to easily modify the sources and your modifications:

```bash
pip install --edit .
```

## Uninstalling

```bash
pip uninstall pentesttools
```

## Testing and Coverage

You can run the tests and make coverage reports like this:

```bash
python3 -m pytest src/tests
```

```bash
coverage run -m pytest src/tests
coverage report -m
```