Cursor Install Guide
AI code editor frequently used with developer-focused MCP servers.
MCP Servers

Welcome to the MCP Server Workshop! In this hands-on, instructor-led workshop, you'll build a fully functional Model Context Protocol (MCP) server from scratch using Java.

MCP integration for Google Calendar to manage events.

A comprehensive collection of Model Context Protocol (MCP) servers, empowering AI models with enhanced capabilities through standardized integrations.

MCP is an open protocol that enables AI models to securely interact with local and remote resources through standardized server implementations.

A powerful Python recreation of Claude Code with enhanced real-time visualization, cost management, and Model Context Protocol (MCP) server capabilities.

A Model Context Protocol server that provides search capabilities using a CSE (custom search engine).

The Axiom MCP Server connects AI assistants to your Axiom observability data using the Model Context Protocol (MCP). This repository contains:

Model Context Protocol server for fetching web content and processing images. This allows Claude Desktop (or any MCP client) to fetch web content and handle images appropriately.

40ANTS-MCP is a framework for building Model Context Protocol servers in Common Lisp

One stop shop - Local-first RAG stack with intelligent polyglot-code/docs, remote code execution, local llama enrichment, progressive disclosure tools, mcp server, sandboxed security.

A Model Context Protocol server for building Xcode projects directly from LLM applications

🪐 🔧 Model Context Protocol (MCP) Server for Jupyter.
Agent Skills

Agent skills extracted from real work. Each one shipped something first.

Personal Codex skills (drop-in folders under ~/.agents/skills/). Catalog: https://jmerta.github.io/codex-skills/

Open the interactive guide to learn more about the Skill

The open agent skills tool - npx skills

A curated list of essential skills, tools, and resources for building and enhancing advanced AI agents.

Keep your skills sharp. Intelligence for agent context.

Chainstack is the leading suite of services connecting developers with Web3 infrastructure

A structured Agent workflow for CUMCM, MCM/ICM, and Diangong Cup — designed to keep a 72–96 hour modeling project coherent from the first decision to the final submission.

会话 · 聊天记录 · 搜索 · 联系人 · 群成员 · 群昵称 · 收藏 · 统计 · 导出

🧠 plan · 🔨 implement · 🔍 review · ✅ QA gate · 🚢 merge Thirty-five agent skills that run a full PR pipeline. Install them into any repo, with any coding agent.

for creating, directing, validating, and delivering image, video, audio, voice, music, 3D, avatar, and interactive media.

Running 5 AI agents in parallel is easy. Making them not break each other's code is the hard part.