Cursor Install Guide
AI code editor frequently used with developer-focused MCP servers.
MCP Servers
Programmatic access to Gemini Notebook - via command-line interface (CLI), Model Context Protocol (MCP) server, and AI agent skills.
Memory Bank MCP Structured project knowledge management for LLMs via Model Context Protocol (MCP)
Model Context Protocol Server for Mobile Automation and Scraping (iOS, Android, Emulators, Simulators and Real Devices)
Semantic Intelligence for Large-Scale Engineering. Context+ is an MCP server designed for developers who demand 99% accuracy.
Outline now ships an — we recommend using it. Read the docs.
A model context protocol server to work with JetBrains IDEs: IntelliJ, PyCharm, WebStorm, etc. Also, works with Android Studio
This package provides OpenStreetMap integration for MCP, allowing users to query and visualize map data through an MCP interface.
This is a Model Context Protocol (MCP) server that integrates AgentQL's data extraction capabilities.
A Model Context Protocol server that executes commands in the current iTerm session - useful for REPL and CLI assistance
A Model Context Protocol (MCP) server for Chess.com's Published Data API.
Call MCPs via TypeScript, masquerading as simple TypeScript API. Or package them as cli.
Model Context Protocol Server for Komodo 🦎 - Enables AI assistants to interact with Docker containers, deployments, stacks, and servers managed by Komodo.
Agent Skills
v2.5.1 — trust-gated review workflows, markdown-first security handoff, expanded framework/database guidance, and a new Python backend skill pack for SDLC delivery.
Research-first Agent Skills for Deep Learning Experiments.
Lazyweb gives AI coding agents real product screenshots, UI references, and design research workflows before they build or critique an interface.
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A structured development workflow for AI coding agents that brings , , and (only humans should) to AI-assisted development. TRIP helps you enter flow state and eat features like buttered noodles.
Skills based on the Layered Rails book and beyond
Pasting raw Gemini or ChatGPT output with zero editing, or running a project with no anti-slop rules at all, is the 2026 equivalent of handing out a business card with an @aol.com email on it.
A curated library of 68 best-practice, plug-and-play product management skills covering the complete product lifecycle - plus templates, workflows, and 200+ real-world sample outputs that set the...
是一个**，支持 Claude Code、Codex、Cursor、GitHub Copilot、Gemini CLI 等主流 AI 编程工具。
llmdoc is a doc-driven workflow for both Claude Code and Codex.
Programmatic memory for long-horizon LLM agents: the harness appends everything to one log, and the agent searches it with code. 97.4% on ARC-AGI-3 (arXiv:2607.20064)
ProductSpec is the open standard for product intent. It acts as a Product Harness for AI-native software work: what to build, what not to build, how to prove completion, and when intent changes.