Claude Desktop インストールガイド
ローカル MCP 設定に対応するデスクトップクライアント。
MCP Servers
A Model Context Protocol server for interacting with Ledger CLI, a powerful, double-entry accounting system accessible from the command line.
DeepView MCP is a Model Context Protocol server that enables IDEs like Cursor and Windsurf to analyze large codebases using Gemini's extensive context window.
AdaptixC2 MCP Server — Model Context Protocol server that enables AI agents to interact with AdaptixC2 through MCP.
MCP for xiaohongshu.com
Model Context Protocol server for Roslyn-powered C# refactoring operations
A Model Context Protocol server implementation for AWS operations that currently supports S3 and DynamoDB services.
A Model Context Protocol (MCP) server that enables Claude Desktop to search your content using Azure AI services.
A Go implementation of the Model Context Protocol (MCP), enabling seamless integration between LLM applications and external data sources and tools.
This project follows the Model Context Protocol standard, allowing AI assistants to interact with Square's connect API.
Model Context Protocol(MCP) 编程极速入门
NX MCP is a local Model Context Protocol server for Siemens NX automation. The 0.2.0.dev0 line replaces the unverified direct-attach design with two explicit processes:
A Python application for controlling REAPER Digital Audio Workstation (DAW) using the MCP(Model context protocol).
Agent Skills
🌐 Make websites accessible for AI agents. Automate tasks online with ease.
the runtime your coding agents live on
Small, composable skills for coding agents.
Think package.json, requirements.txt, or Cargo.toml — but for AI agent configuration.
The official Lark/Feishu CLI tool, maintained by the larksuite team — built for humans and AI Agents.
Personal dotfiles with modern shell tooling, optimized for Laravel/PHP development. Features fast startup times, smart directory navigation, and modern CLI tools.
Building AI agents, atomically
Режим идиоматического русского мата для AI-агентов. Короче, душевнее, эффективнее. 18+
Open-source, local-first desktop AI research workbench for scientific computing with Python/R, MCP bioinformatics tools, SSH/WSL/GPU runtimes, and OpenAI/Anthropic models.
Autonomous research system for measurable, computer-executable research.
LLM-compiled knowledge bases for any AI agent. Parallel multi-agent research, collector catalogs, automated session capture, feedback curation, thesis-driven investigation, source ingestion, wiki...
You don't write AGENTS.md. You train it with gradient descent.