Cursor インストールガイド
開発者向け MCP サーバーとよく使われる AI コードエディタ。
MCP Servers
Desktop Extensions: One-click local MCP server installation in desktop apps
MCP server implementation for using Claude API with Claude Desktop, providing advanced API integration and conversation management.
This MCP server enables dynamic creation, editing and saving of PowerPoint presentations. Built upon the MCP and using the python-pptx library, it provides a flexible interface to add slides, images,...
Claude Code Manager - sessions, MCP, skills, usage & accounts in your VS Code sidebar. 100% local.
Use Devnors Data from Python with one API Key.
A lightweight way to use environment variables in your Cursor MCP server definitions.
An MCP server that connects to a Swagger specification and helps an AI to build all the required models to generate a MCP server for that service.
Every local AI coding session in one tab: Claude Code, Codex and OpenCode in a single list, with a queue you can schedule and isolated Claude Desktop instances kept apart. Local, private, MCP-native.
The . The historical and kept only for legacy/self-hosted workflows. New users should start with the extension-first path below.
This project is . Please provide feedback via GitHub issues.
A sample MCP server with human-approved, provider-scoped access to third-party APIs using WorkOS Pipes.
泪心UE4Dump逆向分析MCP工具
Agent Skills
Fast, powerful Markdown formatter for agents with smart typography and advanced features
A statistically-sound agentic loop-engineering framework. You give it a task description, a pile of gold-standard input/output examples, and a set of checks; it runs agentic loops (a strategy agent...
YuE2: frontier music generation with symbolic planning, zero-shot covers, and agentic music editing.
AI-assisted tools for building, testing, and deploying Fivetran Connector SDK connectors. Distributed as a native plugin/extension for Claude Code, Codex CLI, Gemini CLI and GitHub Copilot CLI.
Lore injection: how fabricated memory becomes model trust
A portable Agent Skill for AI product engineering + open-source maintainer intelligence . Map the repo. Route the task. Review risk. Prepare releases. Harden automation. Prove the result.
Stop TODO leftovers, leaked secrets, sloppy commits and red CI from reaching main — with zero review bandwidth spent on the obvious stuff.
Draft Proposal (see CHANGELOG.md for version history)
它会根据角色参考图、服装参考图、场景参考图、人物关系、剧情想法和目标时长，生成更适合视频模型直接执行的完整提示词，重点处理人物一致性、情侣 POV、自然对白、微表情、手部互动、镜头连续性与真实生活感。
A complete agentic pipeline to kill a SaaS: pick a target, cut the 20% that matters, rebuild it on your boilerplate, ship it to production. One method = a suite of commands.
The system of action for AI-native cybersecurity—where intent becomes governed execution, evidence becomes operational memory, and every operation improves the next.
Write the feature. Do not build a bank around it. 写一个功能就写功能，不要在它外面修一座银行金库。