Claude Desktop インストールガイド
ローカル MCP 設定に対応するデスクトップクライアント。
MCP Servers
MCPyATS brings together the Model Context Protocol (MCP) and Cisco pyATS to build intelligent, distributed agents capable of automating network tasks via natural language.
A lightweight, configurable reverse proxy for routing and load balancing MCP (Model Context Protocol) requests to appropriate backend services based on request content.
Connect ClickHouse to your AI assistants.
Vibetest MCP - automated QA testing using Browser-Use agents
📦️ A fast, secure MCP server that extends its capabilities through WebAssembly plugins.
CodeGraph transforms your entire codebase into a semantically searchable knowledge graph that AI agents can actually reason about—not just grep through.
Browse the web, directly from Cursor etc.
AgentKit: Build multi-agent networks in TypeScript with deterministic routing and rich tooling via MCP.
JSReverser-MCP 是一个面向 JavaScript 逆向分析的 MCP 工具，专门用于帮助开发者在真实浏览器环境中高效定位前端核心逻辑。它 将脚本检索、断点调试、函数 Hook、网络请求追踪、调用链分析、混淆还原和风险评估整合为统一能力，可直接接入 Claude、 Codex、Cursor 等支持 MCP 的客户端。
MCP server that gives AI assistants the power to control a web browser.
Not a path. Not a URL. A handoff that answers back.
Query MCP enables end-to-end management of Supabase via chat interface: read & write query executions, management API support, automatic migration versioning, access to logs and much more.
Agent Skills
xiaohongshu-skills
One-command tmux setup with terminal automation for AI agents.
把书、长视频、播客等高价值内容蒸馏成可执行的 Agent Skills（Distill high-value content from books, long-form videos, podcasts, and more into executable Agent Skills）
A curated collection of open-source macOS applications built with Swift
Agent Skills-compatible LLM wiki for Claude Code, Cursor, and Codex. Build a Karpathy-style knowledge base from raw sources, citations, and linting.
Prismer Cloud
Agent skills for useful HTML artifacts, wireframes, interactive prototypes, plans, and diagrams.
extract all your personal data history from cursor, codex, claude-code, windsurf, and trae
A self-organizing multi-agent collaboration platform for OpenClaw. Multiple AI agents work as an autonomous team — planning, executing, reviewing, and patrolling tasks with zero human intervention.
My profile & the agent skills I created
ShinkaEvolve : Towards Open-Ended and Sample-Efficient Program Evolution 🧬
A passive recording project allows you to have complete control over your data. Automatically take screenshots of all your screens, index them, and save them locally.