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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
A Model Context Protocol (MCP) server that provides for working with EnergyPlus building energy simulation models.
Model Context Protocol (MCP) server for Hostinger API.
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A Model Context Protocol server that provides debugging functionality for both GDB and LLDB debuggers, for use with Claude Desktop, VSCode Copilot, or other AI assistants.
A TypeScript framework for building MCP servers.
This repository contains Model Context Protocol (MCP) servers that provide various tools and capabilities for AI models.
is a lightweight, open-source Model Context Protocol server that bridges AI agents and the macOS operating system.
A Model Context Protocol (MCP) server for structured real estate workflows. This provides tools, resources, and prompts for property search and insights, agent/client management, market and area...
Create 3D models, add features, and automate CAD workflows using conversational AI.
MCP server for AvaloniaUI
InsForge turns your coding agents into full-stack builders, letting them add backend features like auth, databases, file storage, serverless functions, and LLMs to your apps in seconds.
Community plugin to control Blender 3D with any LLM of your choice
Agent Skills
Desktop-first workspace for managing AI coding agents through one React interface and explicit Web/mock and Tauri runtime boundaries.
Claude-first paid-media operations skill for Claude Code across 12 ad platforms (Google, Meta, YouTube, LinkedIn, TikTok, Microsoft, Apple, Amazon, Reddit, Pinterest, Snapchat, X): source-grounded...
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...
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。
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。
Self-organizing AI second brain for Obsidian + Claude Code. Drop any source and Claude reads, links, and files it into one connected knowledge graph of plain Markdown you own.