Cursor 安装指南
常与开发类 MCP Server 搭配使用的 AI 代码编辑器。
MCP Servers
Structural code intelligence for AI agents — semantic search, knowledge graphs, and a built-in MCP server in one Rust binary.
MCP Server to interact with Google Gsuite prodcuts
Self-hosted URL-to-Markdown service for humans and AI agents.
- Research Twitter and Post Twitter(https://www.youtube.com/watch?v=--QHz2jcvcs)
This repo contains the source code for running a local MCP server that interacts with APIs for Google Analytics.
⚡ High-performance job queue for Bun. SQLite by default, PostgreSQL multi-broker when you scale. DLQ, cron, SQLite S3 backups, and native MCP. No Redis.
- 🎭 ：使用 Playwright 完整模拟浏览器环境 - 📝 ：自动提取标题、作者、发布时间、正文内容 - ⚡ ：最少的代码实现核心功能
Official Hex-Rays IDA MCP Server.
Entroly — The Open-Source Context OS for AI Agents
The official Redis MCP Server is a natural language interface designed for agentic applications to manage and search data in Redis efficiently
Library for connecting AI agents to Todoist. Includes tools that can be integrated into LLMs, enabling them to access and modify a Todoist account on the user's behalf.
Full agentic runs for Slay the Spire 2. A mod that exposes in-game state, and the MCP server for the mod.
Agent Skills
SigNoz Website
Open-source Claude Code plugin porting the internal /skillify skill: turn a finished session's repeatable workflow into a reusable SKILL.md you can rerun with a slash command.
Claude Code skill + Remotion scaffold for building polished product launch videos.
Permissionless infrastructure for agents. No human intervention required.
Develop Swift/iOS projects using VSCode
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.
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～
VS Code in the terminal
Generate app icon artwork and Google Play feature graphics from the terminal with OpenAI or Google Gemini.
Fill-in-your-own-data framework for YouTube / short-form video automation: CapCut JSON + ffmpeg tooling + an onboarding questionnaire. Ships with zero private data.
🚧 We are actively refining our core, resumption protocols, and runtime specifications, which will introduce major breaking changes prior to a stable release.
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...