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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

Lightweight C++ MCP (Model Context Protocol) SDK

This repo is an experiment on agent coding. 95% of the code is written by LLM's

Web research your agent can actually use. Quality-scored Google search, clean webpage extraction, and deep multi-source research for Claude — over the Model Context Protocol.

This repository is a collection of guides, utilities, and server implementations for the created while learning MCP.

https://databrickslabs.github.io/ontobricks/

The First AI-Native Remote Desktop Built-in MCP Server · AI Agents Control Any Remote Computer · Open-Source & Free

A professional framework designed for enterprise-level Model Context Protocol (MCP) tool development, standardizing the MCP server development process to help developers rapidly build high-quality AI...

A Model Context Protocol (MCP) server for interacting with Twitter.

Infrastructure that connects LLMs to ERPNext. Frappe Assistant Core works with the Model Context Protocol (MCP) to expose ERPNext functionality to any compatible Language Model

Gearsystem is a very accurate, cross-platform Sega Master System / Game Gear / SG-1000 emulator written in C++ that runs on Windows, macOS, Linux, BSD and RetroArch, with an embedded MCP server for...

Own the context. Rent the memory. Your notes stay plain .md files you own — bring any AI model and swap it whenever you like.

Designing Enterprise MCP Systems Build, orchestrate, and scale intelligent workflows with the Model Context Protocol Open-source project by Decoding AI
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.