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개발자용 MCP 서버와 함께 자주 쓰이는 AI 코드 에디터.
MCP Servers

An SDK for building MCP (Model Context Protocol) servers and clients in Scala 3 using boilerplate-less, type-safe APIs based on Tapir and sttp, supporting the variety of the Scala ecosystem.

A TypeScript SDK for implementing Model Context Protocol (MCP) over MQTT, supporting both browser and Node.js environments.

Levante is a cross-platform desktop app (Windows, macOS, Linux) that brings powerful AI tools closer to everyone — not just technical users.

A TypeScript template for building remote Model Context Protocol (MCP) servers with modern tooling and best practices while leveraging the MCP TypeScript SDK.

Dieser Server implementiert das Model Context Protocol (MCP), um deutschen Gesetzestexte für LLMs (Large Language Models) bereitzustellen.

Looking for the Python version? Check out Saiku.py.

A Model Context Protocol (MCP) server for interacting with the Hetzner Cloud API. This server allows language models to manage Hetzner Cloud resources through structured functions.

A Model Context Protocol (MCP) server for Windows desktop automation using AutoIt.

A comprehensive Model Context Protocol (MCP) server for interacting with the Zendesk API. This server provides tools and resources for managing Zendesk Support, Talk, Chat, and Guide products.

A standalone agent runner that executes tasks using MCP (Model Context Protocol) tools via Anthropic Claude, AWS BedRock and OpenAI APIs.

A practical, community-driven checklist for . This guide covers local and remote MCP server risks, traffic analysis, tool-call behaviors, context boundaries, authorization flows, and unsafe code...

This project demonstrates the integration of the Model Context Protocol (MCP) with AutoGen (AG2), showcasing a powerful pattern for building modular, tool-enabled AI agents.
Agent Skills

This repository provides technical guidance for users and developers using Amazon EC2 instances powered by AWS Graviton processors (including the latest generation Graviton5 processors).

The main branch is under active development for . The stable releases are maintained in the v0.x branch. The documentation for Rslib v1 is available at v1.rslib.rs.

https://github.com/user-attachments/assets/023c0a9c-194a-45a9-bb88-ac8f16f5ffd5

NeMo Gym is a library for evaluating and improving models and agents using environments. NeMo Gym provides infrastructure to develop environments, scalably run evaluation and training, and a...

Fast, AI-ready, and zero-config. Free and open source, forever.

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ThingLinks is an enterprise-grade built on Spring Cloud microservices architecture. It delivers device connectivity, supporting on a single node with plugin-based extensibility and multi-protocol...

🌩️ Be like a god to a town of agents. Pause time. Whisper to a soul. Bend the next step. Reset the world — all from a single click.

Built by DeepSeek, for DeepSeek. An AI coding agent that flows through your codebase like a tide. The name: DeepSeek + tide (terminal IDE).

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.

A collection of Codex/agent skills for planning, documentation access, frontend development, and browser automation.