Claude Desktop Install Guide
Desktop client with local MCP configuration support.
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
The definitive list that answers "I want to do X in Python, which tool should I use?"
YYLO (why-lo): AI coding-agent orchestration CLI with equivalent yylo and yy launchers.
Memory library for building stateful agents
⭐️⭐️⭐️微服务商城系统 springcloud微服务商城 小程序商城
Not quite vibe-coding. Not quite boomer coding. Something else.
Graph-based issue tracker for AI agent coordination
Copy this repo into any project. Claude Code, Codex, and other agentic tools then follow the same gated process — spec, plan, task cards, implementation, verification, review — before code reaches...
:warning: — The Windows App Development CLI (winapp CLI) is experimental and in active development. We'd love your feedback! Share your thoughts by creating an issue.
LiteRT-LM is Google's production-ready, high-performance, open-source inference framework for deploying Large Language Models on edge devices.
Independently written prompt templates for building AI coding agents, inspired by patterns observed in Claude Code codebase.
A curated list of reusable skills, workflows, and tool-backed capabilities for AI agents.
Blocks specific sites from appearing in Google search results