pentestMCP: AI-Powered Penetration Testing via MCP, an MCP designed for penetration testers.

A native desktop application for developing, testing, and debugging Model Context Protocol servers.

Touhou-inspired Agent Skills: distinct, testable, composable problem-solving workflows.

Security testing toolkit for AI Agent: curated SecLists wordlists, injection payloads, and expert agents for authorized pentesting, CTFs, and bug bounties

A self-hosted sandbox for red teams to test payloads against modern detection before deployment. MCP integration lets an LLM agent drive analysis end to end.

BitDive Model Context Protocol (MCP) server. The Autonomous Quality Loop for AI agents. Provides real runtime context, before/after trace comparison, and integration testing workflows.

Self-hosted AI agent harness in a single Go binary — writes, sandbox-tests and repairs its own tools, and lets Claude Code, Codex and any MCP client build and share them.

an open source, extensible AI agent that goes beyond code suggestions - install, execute, edit, and test with any LLM

Fast, flexible, and open tooling for building intelligent workflows with Cypress.

Build a Claude-Code-shaped agent harness from scratch. 7-week course, 20 chapters, ~5,000 lines of Python, 42 tests, 3 LLM providers, no frameworks.

NOT for educational purposes: An MCP server for professional penetration testers including STDIO/HTTP/SSE support, nmap, go/dirbuster, nikto, JtR, hashcat, wordlist building, and more.

A curated collection of top-tier penetration testing tools and productivity utilities across multiple domains. Join us to explore, contribute, and enhance your hacking toolkit!

The system of action for AI-native cybersecurity—where intent becomes governed execution, evidence becomes operational memory, and every operation improves the next.

The evaluation benchmark on MCP servers

Python toolkit, MCP server, and agent skills for reproducible, auditable clickstream and event log analytics. Helps AI agents, data scientists and analysts build, validate, and cross-check product analytics, quantitative UX, customer journeys, graph-based user flows, behavioral segmentation, A/B tests, process mining models, Markov chain simulation

Multiplatform system monitoring tool using Cosmopolitan Libc

Experiment task scheduling made easy.

SkillsVote: Lifecycle Governance of Agent Skills from Collection, Recommendation to Evolution

Chrome extension & CLI to let agents control your browser. Runs Playwright snippets in a stateful sandbox. Available as CLI or MCP

A Claude Skill to give your agent the ability to use a web browser

A local sandbox for your AI agents

DrissionPage MCP Server · Browser automation for Claude Code, Codex, and MCP clients

AI said it finished. Flyto2 shows the proof.

Agent Skill evaluation harness for paired variants, trace artifacts, and runner adapters