Skills and MCP Servers

Teleton: Autonomous AI Agent for Telegram & TON Blockchain

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

AI-powered E2E testing for 10 platforms. 253 MCP tools. Zero config. Works with Claude, Cursor, Windsurf, Copilot. Test Flutter, React Native, iOS, Android, Web, Electron, Tauri, KMP, .NET MAUI — all from natural language.

A Cli, a webUI, and a MCP server for the Z-Image-Turbo text-to-image generation model (Tongyi-MAI/Z-Image-Turbo base model as well as quantized models)

The AI agent that works while you don't watch. Lives in your menu bar, finds you when needed.

MCP Server Security Standard (MSSS): an open, testable security control standard for certifying MCP servers, with levels, evidence requirements, and reporting schemas.

MCP client for Discourse sites

ToolRegistry: A Protocol-Agnostic Tool Management Library for Function-Calling LLMs

MCP (Model Context Protocol) server for the Contentful Management API

Smart contracts, tools, and skills for AI agents that transact on Starknet

Watchtower is a simple AI-powered penetration testing automation CLI tool that leverages LLMs and LangGraph to orchestrate agentic workflows that you can use to test your websites locally. Generate useful pentest reports for your websites.

A modular Python framework implementing the Model Context Protocol (MCP). It features a standardized client-server architecture over StdIO, integrating LLMs with external tools, real-time weather data fetching, and an advanced RAG (Retrieval-Augmented Generation) system.

The leading, most token-efficient MCP server for documentation exploration and retrieval via structured section indexing

CLI built for AI agents to help navigate codebases better. An alternative to grep/find/glob

A toolkit for developing AI agents, including agent-debugger: Terminal debugger for LangGraph & LangChain agents. Debug LLM agents with state inspection, tool calls, semantic breakpoints, and Python program stepping in one Textual UI.

UML-MCP Server is a UML diagram generation tool based on MCP (Model Context Protocol), which can help users generate various types of UML diagrams through natural language description or directly writing PlantUML and Mermaid and Kroki

Agentic-first Cursor Rules powered by MiniMax M2 — clarify-first prompting, interleaved thinking, and full tool orchestration for production-ready AI coding

Multi Model Multi Agent Framework build using Frappe Framework. Out of the box support for 500+ models and 100s of tools. Can automate ERPNext and Frappe App out of the box.

SQLMap with Autonomous AI, phased workflows, RAG memory, and MCP Agent Tools

🦾 A production‑ready research outreach AI agent that plans, discovers, reasons, uses tools, auto‑builds cited briefings, and drafts tailored emails with tool‑chaining, memory, tests, and turnkey Docker, AWS, Ansible & Terraform deploys. Bonus: An Agentic RAG System & a Coding Pipeline with multistep planning, self-critique, and autonomous agents.

Lightweight, Rust-native AI Agent platform. Security sandbox from day one.

Implementation of Model Context Protocol server for Mailgun APIs

MCP server that enables AI agents to perform comprehensive web audits using Google Lighthouse with 13+ tools for performance, accessibility, SEO, and security analysis.

Tableau tools for Agentic use cases with Langchain & Langgraph. Enfuse agents with updated data so they make better informed decisions that scale with your analytics practice

MCP server for AI-assisted development of CAP applications

One-stop shop for AI skills and agents. Search 110K+ community skills, install and track them declaratively, and deploy across all major AI coding tools (Claude Code, Codex, etc)

The code quality toolkit for the agentic AI era. Find dead code, clones, and scaffolding across 15 languages. MCP server + CLI.