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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

mcp server to interact with your bubble project

py-mcp-mssql

Think DVWA but for MCP/AI agent security.

Model Context Protocol (MCP) that allows LLMs to use QGIS Desktop

A model context protocol server for TriliumNext Notes. This server provides tools to interact with your Trilium Notes instance through MCP. You can use this MCP with triliumnext-skills.

NSE & BSE Indian Stock Market Data MCP Server

Claireon Model Context Protocol server for Unreal Editor automation

A Bambu Lab-focused MCP server for controlling Bambu printers, manipulating STL files, and managing end-to-end 3MF print workflows from Claude Desktop, Claude Code, or any MCP-compatible client.

Figure: The React Native MCP Agent interface showing the chat screen with tool execution results (left) and the settings screen with MCP Bridge connection status and Gemini API configuration (right)

This project is a Model Context Protocol (MCP) server for interacting with the VRChat API. It allows you to retrieve various information from VRChat using a standardized protocol.

Write Model Context Protocol servers in few lines of go code. Docs at https://mcpgolang.com . Created by https://metoro.io

Model Context Protocol server for Aiven
Agent Skills

Evaluate quality. Find the weakest link. Fix it. Prove it worked. Repeat.

手机用户:长按页面 → 全选 → 复制 电脑用户:Ctrl+A 全选 → Ctrl+C 复制

刘润(前微软战略合作总监、润米咨询创始人、《5分钟商学院》主理人)28 年商业写作经验的完整复刻。基于其《我这28年的写作心法》提炼的 8 大心法、3 种结构、SCQA 逻辑势能、5商派 SCA++ 模板、7 种 callout,专为商业长文创作设计。

一个 Claude Code / Codex 技能(Skill),用于将 macOS 微信桌面端的本地聊天记录全量导出为明文 SQLite 数据库。

把古诗词做成 逐句或两句一景的竖屏中国画动态视频 。 诗意分镜 · 中国画风格分化 · 画中物象真实运动 · 毛笔字逐字题写 · 原环境声与 BGM 并行 · 最终成片质检

求职最难的不是没经历,是**,或者**。这个 skill 把整条链路走完,缺一不可:

Documentation • 中文文档 • Live Examples • Tutorials

This is the open-source content repository behind . It stores every approved Agent Skill, the records that go with it, and the automated security audits published with each skill.

dsh-agent-teams turns the current DeepSeek Harness session into a captain that can assemble durable sub-agents, split a goal into dependency-aware tasks, and coordinate work through direct messages.

Turn your slides, homework, and past papers into a source-aware tutor that remembers your progress.

"It is remarkable how much long-term advantage people like us have gotten by trying to be consistently not stupid, instead of trying to be very intelligent."

Built for (trust signals, provenance, staleness), while the rest of the ecosystem still targets v0.1.