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MCP Servers

🔥🔒 Awesome MCP (Model Context Protocol) Security 🖥️

The open-source tunnel that scales with you. Don't pay for idle time. Secure, Rust-fast, and Pay-as-you-go.

This MCP server is deprecated and will only receive critical security updates going forward. It has been superseded by the Elastic Agent Builder MCP endpoint, which is available in Elastic 9.2.

A comprehensive Model Context Protocol (MCP) server that enables AI assistants to control Unreal Engine through the native C++ Automation Bridge plugin. Built with TypeScript and C++.

MCP server to access Garmin data

MCP server that integrates the LINE Messaging API to connect an AI Agent to the LINE Official Account.

A MCP server implementation for hyperbrowser

MCP server for long term agent memory with Mem0. Also useful as a template to get you started building your own MCP server with Python!

next-devtools-mcp is a Model Context Protocol (MCP) server that connects coding agents like Claude and Cursor to your running Next.js dev server.

MCP Server for Metasploit

⚡ DocsAgent — give your AI agents instant, private access to your personal knowledge base (Zotero now; Obsidian, Apple Notes & local docs on the road).

We don't make AI smarter. We make it experienced. AI coding memory — the local-first memory + judgment layer for AI coding agents. Save up to 50%+ of AI tokens. Stop repeating yesterday's bug.
Agent Skills

- 🤝 团队与**达成合作,Supervisor-Skills 正式作为**的核心科研技能完成部署,驱动「」与「」两大官方能力,将本项目沉淀的科研方法论带给亿级用户。 - 🚀 :新增 paper-writer(证据门控的论文正文写作)、paper-polish(忠于原意的语言润色)、deep-research(综述级文献调研)三个技能;intro-drafter...

A Claude Code plugin that maintains FILETREE.md — a one-line description per file with content hashes for staleness detection.

Point it at an existing site and it finds the generic patterns, the missing states, and the sloppy code, then fixes them in place without rewriting your project.

DeepClause Typescript DML SDK and runtime

of cursor/plugins/pstack — kept in sync for standalone use. See also backnotprop/bro, referenced by the /bro skill below.

A股全栈数据工具包 · 十一层架构 · 54端点 · 19数据源 · 零鉴权 | Full-stack China A-share data toolkit for AI agents — 11 layers, 54 endpoints, 19 sources, zero-auth

Structured workflow packs for AI coding assistants, with built-in conversation memory, project memory, and learning-oriented collaboration patterns.

FTE+AI is an end-to-end program execution framework that guides R&D organizations through the complete journey of vendor replacement—from initial planning through successful cutover and optimization.

AI-native quantitative research framework

Anti-laziness skill for AI agents. Core: the Depth Tree method, which splits a task N layers deep and gives every leaf the full time budget of the whole task, so effort multiplies with depth.

Open-source Environment toolkit of claw-like agents, support task/harness generation and evaluation

Spec docs drift from code, or they bloat every PR. Skeeper picks neither.