Cursor Руководство установки
AI-редактор кода, часто используемый с developer MCP.
MCP Servers
MCP server for Apple iWork automation — 113 tools for Numbers, Pages, and Keynote. Template discovery, Creator Studio AI tools, compound batch operations. One line to install.
AI assistants struggle with computer vision and Gen-AI knowledge:
A code and document intelligence server that indexes Git repositories and provides search through MCP and REST APIs.
Discover, install and manage MCP servers on macOS
MCP Serverの設定（Cursor、Claude Desktop）を参考に、mcp.jsonまたはclaude_desktop_config.jsonに以下を追記してください。 LAPRAS_API_KEYは職歴関連のツールを使う場合のみ必要です。https://lapras.com/config/api-key から取得できます。
Claude Code/Codex/Cursor/OpenCode/Gemini GL
Python MCP Server for Kestra — you can use it as a tool in Kestra's AI Agents
Connect Raindrop.io to your AI assistant with a simple MCP server. Use it to organize, search, and manage bookmarks with natural language.
Manage test cases, execute manual or automated tests, debug issues, and even fix code—directly within tools like Cursor, Claude, or any MCP-enabled client, using plain English.
One config to rule them all. Practical standard layer for multi-LLM development.
This is a research project. I have many other things going on and OpenProphet is not at the top of my backlog. The paid templates and guides at openprophet.
An MCP server that lets , , , , and any other MCP client (via OAuth 2.1 or static bearer token) delegate tasks to a local running on your own hardware.
Agent Skills
https://github.com/user-attachments/assets/023c0a9c-194a-45a9-bb88-ac8f16f5ffd5
Screenshot testing is key to validate your app's appearance and functionality. It efficiently detects visual issues and tests the app as users would use it, making it easier to spot problems.
Built by DeepSeek, for DeepSeek. An AI coding agent that flows through your codebase like a tide. The name: DeepSeek + tide (terminal IDE).
山音超级编剧大师 - 全格式影视编剧 Skill 由 @山音 设计的自然语言驱动编剧 Agent Skill 覆盖 1-3 分钟概念超短片→90 分钟电影长片→多集剧集的全流程剧本创作，一站式搞定人物、大纲、场景、剧本全链路
for quasi-experimental designs in Python.