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

Wavelet-based multi-resolution context management for LLMs via MCP.

AI assistants are powerful, but they struggle with Kubernetes because:

Issue tracking for the agentic coding era. One binary. One SQLite database (plus an attachments dir). MCP built in.

A powerful CLI + MCP Server for working with photos: search, edit, tag and describe photos right from the terminal.

Your codex login → a full ChatGPT Plus/Pro account (every model, deep research, image gen, code exec) inside Claude Code, Codex & any MCP client. One-line install.

An MCP App for playing and inspecting local audio files in an MCP host.

MCP Server for Authentication Management

ApocData · AI-native financial database for China A-share market. Drop-in Skill / MCP for Claude,ChatGPT, Qwen, Kimi, DeepSeek agents.

parallel-browser-mcp is an MCP server for parallel browser automation. It exposes a numeric session model over MCP so one client can create and control multiple browser sessions at the same time...

MCP-сервер для прямой работы с клиентом тестирования без менеджера тестирования

Multi-agent code review mesh — orchestrates AI agents from multiple providers to review code in parallel, cross-review each other's findings, and build accuracy profiles over time.

Open-source infrastructure for AI agents — each gets an email address, folder, inbox, and API key. Move files through named inboxes instead of shared cloud credentials; signed receipts and MCP built...
Agent Skills

A Claude Code / Cowork skill that interviews you relentlessly about a plan or design until reaching shared understanding, resolving each branch of the decision tree.

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

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.

VS Code in the terminal

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~

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

Develop Swift/iOS projects using VSCode

Adala is an **utonomous **ta (**abeling) **gent framework.

Shiny for Python is the best way to build fast, beautiful web applications in Python. You can build quickly with Shiny and create simple interactive visualizations and prototype applications in an...
One Python API: store media, run models, index embeddings, serve endpoints, and version everything in a single system instead of gluing together blob storage, a vector DB, an orchestrator, and edge...

⚡ PowerGrid generates modern, powerful and easy-to-customize data tables using Laravel Livewire.