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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 headless Ghidra server that speaks MCP (Model Context Protocol), giving AI agents full access to deep reverse-engineering workflows: program lifecycle, disassembly, decompilation, patching, types,...

The Gemini CLI confirmed that the MCP server built with Google Apps Script (GAS), a low-code platform, offers immense possibilities.

Thanks to @BigUncle for the pull request

Cross-platform command line interface for OneDrive (Personal)

A Model Context Protocol (MCP) server that provides access to the Oura API. It allows language models to query sleep, readiness, and resilience data from Oura API.

MCPC is the SDK for building agentic MCP (Model Context Protocol) Servers. You can use it to:

An MCP (Model Context Protocol) server that enables interaction with Google Play Console to deploy and manage Android applications.

WIP: We are building a benchmark for evaluating the optimizations for OS!

🦀 Formanator is now built with Rust and distributed through Homebrew and Crates.io! v2.x, built in TypeScript and distributed through npm, is still available.

Model-driven development for coding agents. A shared model you and your agent plan from. The model leads; the code follows.

仓库里的每样东西都经过实际使用筛选,目标是把 Pi 打造成一个能多代理协作、能省 token、能跑浏览器的全能终端编码代理。

A Model Context Protocol (MCP) server for Git repository interaction and automation, written in Go. This server provides tools to read, search, and manipulate Git repositories via Large Language...
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.