CAT
/MCP
SkillsMCPMarketplacesDigestToolsAdvertise

This week in Claude

Every Monday: Claude Code, Agent SDK, MCP, and the Anthropic platform moves worth your time.

Skills by Category
Frontend DevelopmentBackend & APIsTesting & QASecurityDevOps & CI/CDGit & Pull RequestsDocumentationCode Review & QualityAI & Agent BuildingSkill Development
MCP Servers by Category
Sales & MarketingWeb & Browser AutomationDatabasesAI & LLM ToolsCloud & InfrastructureCommunication & MessagingDeveloper ToolsDesign & CreativeDocuments & KnowledgeSearch & Web Crawling
Marketplaces by Category
AI Agents & OrchestrationLLM IntegrationDevelopment ToolsFrontend & UIBackend & APIsDatabasesTesting & Code QualityDevOps & CloudSecurity & ComplianceGit & Version Control

Cross AI Tools

Discover Claude Code plugins, extensions, and tools. Automatically updated directory of Anthropic Claude AI marketplaces with development tools, productivity plugins, and integrations.

Resources

  • Browse Skills
  • Browse MCP Servers
  • Browse Marketplaces
  • Plugins Reference

Community

  • About
  • Tools
  • Feedback
  • Privacy Policy
  • Advertise

Built for the Claude Code community with Claude Code by @mertduzgun

Independent project, not affiliated with Anthropic

Mcp Server

pentesttoolscom/pentesttools-pypi
authHTTPregistry active
Summary

Connects your AI assistant directly to a Pentest-Tools.com account so you can kick off Website Scanner, Subdomain Finder, and Network Scanner jobs through conversation. Supports the full workflow: run scans, triage findings across workspaces, download or translate reports, and chain everything into multi-step recon workflows. Available as a remote HTTP server at mcp.pentest-tools.com/mcp or as a local Python package. Needs an API key from a paid Pentest-Tools plan. Reach for this when you want LLM-driven vulnerability scanning and reporting without leaving Claude, Cursor, or your terminal, or when you need to automatepentest documentation with natural language.

CodeRabbit
CodeRabbit
AI writes the code. CodeRabbit catches the slop.
Try For Free →
Keep your Mac awake
Keep your Mac awake
Keep your Mac awake while Claude Code and 40+ AI agents run. Sleeps when they're idle.
One time payment $9 →
Context.devContext.dev
Context.dev
Integrate web data into your AI product. One API to scrape website & brand data.
Get API Key Now →
Make your agent a DeFi expert
Make your agent a DeFi expert
Agent, run crypto. Access onchain data & trade routes via 1inch.
Install now →
Make money from your Skills
Make money from your Skills
On Capafy, your Skill runs online 24/7 as an agent product, and you get paid every time someone uses it.
Start earning →
AppSignal
AppSignal
Monitor with ease. Code with confidence.
Start Free Trial →
CodeRabbit
CodeRabbit
AI writes the code. CodeRabbit catches the slop.
Try For Free →
Keep your Mac awake
Keep your Mac awake
Keep your Mac awake while Claude Code and 40+ AI agents run. Sleeps when they're idle.
One time payment $9 →
Context.devContext.dev
Context.dev
Integrate web data into your AI product. One API to scrape website & brand data.
Get API Key Now →
Make your agent a DeFi expert
Make your agent a DeFi expert
Agent, run crypto. Access onchain data & trade routes via 1inch.
Install now →
Make money from your Skills
Make money from your Skills
On Capafy, your Skill runs online 24/7 as an agent product, and you get paid every time someone uses it.
Start earning →
AppSignal
AppSignal
Monitor with ease. Code with confidence.
Start Free Trial →

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 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
Featured
CodeRabbit
CodeRabbit
AI writes the code. CodeRabbit catches the slop.
Try For Free →
Keep your Mac awake
Keep your Mac awake
Keep your Mac awake while Claude Code and 40+ AI agents run. Sleeps when they're idle.
One time payment $9 →
Context.devContext.dev
Context.dev
Integrate web data into your AI product. One API to scrape website & brand data.
Get API Key Now →
Make your agent a DeFi expert
Make your agent a DeFi expert
Agent, run crypto. Access onchain data & trade routes via 1inch.
Install now →
Make money from your Skills
Make money from your Skills
On Capafy, your Skill runs online 24/7 as an agent product, and you get paid every time someone uses it.
Start earning →
AppSignal
AppSignal
Monitor with ease. Code with confidence.
Start Free Trial →
Categories
AI & LLM ToolsSecurity & Pentesting
Registryactive
TransportHTTP
AuthRequired
UpdatedApr 24, 2026
View on GitHub

Related AI & LLM Tools MCP Servers

View all →
SkillFM LLM Cost Optimizer

io.github.ericm1018/skillfm-llm-cost-optimizer-openai-anthropic-usage

LLM cost optimizer for OpenAI, Anthropic, token usage, BYOK, and SkillFM Beacon audits.
Llm Orchestration Agent

io.github.mikerawsonnz/llm-orchestration-agent

Run a prompt through a LangChain (system + human) chain over Gemini on Vertex AI; optional LangSmith
Authenticated Llm Agent

io.github.mikerawsonnz/authenticated-llm-agent

JWT-gated LLM gateway: authenticate (bcrypt/JWT), then run a LangChain-on-Vertex Gemini completion.
Copilot Memory MCP

labforgedev/copilot-memory-mcp

Persistent semantic memory for AI agents using local ChromaDB vector search. No cloud required.
1
Agent Prompt Injection Firewall Mcp

csoai-org/agent-prompt-injection-firewall-mcp

The WAF for agents. Pattern-based + heuristic firewall scans prompts, RAG documents, tool argume...
Authenticated Multi Llm Agent

io.github.mikerawsonnz/authenticated-multi-llm-agent

Google-OAuth-gated LLM gateway: verify a Google ID token, then run a Gemini (Vertex AI) completion f