Cursor Руководство установки
AI-редактор кода, часто используемый с developer MCP.
MCP Servers
A seamless integration between Prism and Model Context Protocol (MCP) servers that empowers your AI applications with powerful, external tool capabilities.
A collection of MCP servers for mainland China services. 支持 MCP 的国内服务一览。
Welcome to project! In this repository, you'll find multiple examples of setting up MCP Servers. MCP (Model Context Protocol) is a framework for AI models that enables them to store data, run tools,...
A remote Model Context Protocol (MCP) server for interacting with the dev.to public API without requiring authentication.
An MCP (Model Context Protocol) server for Minds, allowing LLMs to interact with the Minds SDK through a standardized interface.
Stock Trade MCP server in Tiingo with stock prices, news, forex, and fundamentals programmatically via the MCP
is a powerful Terminal User Interface (TUI) for debugging, testing, and interacting with Model Context Protocol (MCP) servers.
这是一个基于MCP (Model Context Protocol)的智能信息获取服务器,为AI助手系统提供强大的搜索能力和面向LLM优化的网页内容理解功能。通过多引擎搜索和智能内容提取,帮助AI系统高效获取和理解互联网信息,将网页内容转换为最适合LLM处理的格式。
MCP Server for Cocos Creator Editor
Simple MCP Manager Desktop Application
Easy peasy MCP servers in Django.
飞书MCP服务器是一个基于Model Context Protocol的服务，提供飞书API集成，使AI模型能够轻松与飞书服务交互。
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...