Cursor Install Guide
AI code editor frequently used with developer-focused MCP servers.
MCP Servers
🔥 MCP Mastery: Build AI Apps with Claude, LangChain and Ollama
A lightweight way to use environment variables in your Cursor MCP server definitions.
This MCP server provides tools for listing and retrieving content from different knowledge bases.
- — MCP Protocol v2 (spec revision 2026-07-28, streamable HTTP) and experimental StrongDM API support are here — see the release notes.
MCPSafari: Native Safari MCP Server for AI Agents
MCP server to perform various OSINT tasks by leveraging common network reconnaissance tools.
A starting point for Claude Code to Codex collaboration
allows AI to control the Godot Editor to create scenes, nodes, scripts. It can debug script errors, debugger and output logs.
Agent Browser eliminates the need to configure each MCP server in every client. Connect your clients once to Agent Browser, and it will manage all your Server-Sent Events (SSE) MCP servers for you.
移动端 AI 自动化测试平台 —— MCP 工具 + AI Agent + 可视化操控台
MCP server to extract contents from a PDF file
OpenPets is a native macOS desktop pet for visible agent progress, review prompts, completion states, and lightweight animations across local coding tools.
Agent Skills
Resources from David Ondrej's interview with Micky / Michael Shimeles about serious AI building and agentic engineering.
Gate Skills is an open skills marketplace that empowers AI agents with native access to Gate's cryptocurrency ecosystem.
A to run (Anthropic) on the host via the claude CLI (Agent SDK).
这是一个面向 LSPosed 模块开发 的低 Token Skill 包。它保留完整知识，但通过“启动版 + 按需知识库 + 模板 + 案例索引”的结构降低常驻上下文占用。
simple, type safe, elegant command line framework. the CLI framework for agents
Skills helping you write robust Zig code.
A coding agent harness built specifically for Motif-3
Official plugin marketplace repository for PI-Desktop
ReasBook main branch mirror for self-hosted CI
Prospecção semiautomática de clientes com site fraco, redesign premium, publicação na HostGator e proposta por e-mail — empacotado como (Agy 2.0 / IDE / CLI compartilham a mesma config).
A Formally Grounded, Self-Improving Agentic Framework for Automated Research in Causal Inference
本项目基于通义千问（qwen-plus）大模型构建AI Agent智能采购管理系统，专为摩托车零部件采购场景打造。系统与现有Java ERP后端深度集成，覆盖供应商智能分析（信用评级与供货能力对比）、采购订单全生命周期管理（创建、修改、审批流转）、库存预警与出入库自动化管控，以及零部件多维度检索与供应商关联查询等核心业务环节。