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

Run existing Model Context Protocol (MCP) stdio-based servers in AWS Lambda functions

A that enables AI assistants like Claude, Cursor, and Windsurf to build, test, and debug Tauri® v2 applications.

MCP server enabling AI agents to interact with Flutter apps at runtime - let them inspect widgets, simulate taps, enter text, scroll, and take screenshots.

Infrastructure that connects LLMs to ERPNext. Frappe Assistant Core works with the Model Context Protocol (MCP) to expose ERPNext functionality to any compatible Language Model

Universal domain exploration engine: fast domain availability checks across the internet — as a CLI, Rust library, and MCP server for AI agents.

The official home of the Zapier MCP plugin! ⚡

This repo is an experiment on agent coding. 95% of the code is written by LLM's

prototype for an mcp server that crystalizes memory

Community MCP server for hyprctl

Learn Model Context Protocol (MCP) from scratch in plain Node.js. Build a working MCP server step by step with zero black boxes, from JSON-RPC and stdio transport to tools, prompts, resources,...

MegaMem is an Obsidian plugin that syncs your notes into a (powered by Graphiti) and exposes it to AI assistants through the .

Install via Unity Package Manager to let Claude, Cursor, Windsurf, or any MCP-compatible AI assistant control your Unity Editor with across . Built and maintained by AnkleBreaker Studio.
Agent Skills

For You Agent——AI 时代的个人随身数字人格。把你的模型、AI 账号、技能、提示词和工作方式,带到每一个 AI 工具里。

CLI for Hotdata

Generate app icon artwork and Google Play feature graphics from the terminal with OpenAI or Google Gemini.

A native, all-in-one workspace for databases, SSH, SFTP, terminals, remote desktop, monitoring, and AI.

VS Code in the terminal

Develop Swift/iOS projects using VSCode

🚧 We are actively refining our core, resumption protocols, and runtime specifications, which will introduce major breaking changes prior to a stable release.

Fill-in-your-own-data framework for YouTube / short-form video automation: CapCut JSON + ffmpeg tooling + an onboarding questionnaire. Ships with zero private data.

如果在使用过程中遇到问题,请通过 Issues 反馈功能正确性问题和功能请求,其他问题请通过 Discussions 反馈~

Sync and store bookmarks locally, manage Field Theory Library and command workflows, and make local context available to Claude Code, Codex, or any agent with shell access.

🎬 Evidence-led Seedance 2.5 / 2.0 prompt library: 600+ cases traced to original posts, 260+ cross-model retest runs with public verdicts, 25 copy-ready templates, 50+ installable AI-video Skills.

Beautiful UI components built for Better Auth.