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로컬 MCP 설정을 지원하는 데스크톱 클라이언트.
MCP Servers

This is a simple example of how to use the Model Context Protocol (MCP) with OpenAI's API to create a simple agent acting from a chat context.

An MCP (Model Context Protocol) server that provides comprehensive RAG (Retrieval-Augmented Generation) capabilities for processing and querying directories of documents using the raganything library...

A ground-up Rust SDK for the Model Context Protocol — both halves of the protocol, server client — with a macro-driven, zero-boilerplate surface and strict spec compliance as a feature.

🪐 ✨ AI Agents for JupyterLab with 🛠️ MCP tools - Chat interface for intelligent notebook interaction, code execution, and workspace management.

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A collection of MCP server examples developed with Java SDKs

Lightweight, fast, NativeAOT compatible MCP (Model Context Protocol) framework for .NET

A Model Context Protocol (MCP) server that connects Claude directly to your Shopify store. Manage products, orders, customers, collections, inventory, and fulfillments — all through natural language.

A Model Context Protocol (MCP) server providing access to the comprehensive OpenNutrition food database with 300,000+ food items, nutritional data, and barcode lookups.

Strimzi Kafka CLI is a CLI that helps traditional Apache Kafka users -both developers and administrators- to easily adapt to Strimzi, a Kubernetes operator for Apache Kafka.

MCP is a Go implementation of the Model Context Protocol — a standardized way for applications to communicate with AI models.

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.
Agent Skills

Agent skills extracted from real work. Each one shipped something first.

Personal Codex skills (drop-in folders under ~/.agents/skills/). Catalog: https://jmerta.github.io/codex-skills/

Open the interactive guide to learn more about the Skill

The open agent skills tool - npx skills

A curated list of essential skills, tools, and resources for building and enhancing advanced AI agents.

Keep your skills sharp. Intelligence for agent context.

Chainstack is the leading suite of services connecting developers with Web3 infrastructure

A structured Agent workflow for CUMCM, MCM/ICM, and Diangong Cup — designed to keep a 72–96 hour modeling project coherent from the first decision to the final submission.

会话 · 聊天记录 · 搜索 · 联系人 · 群成员 · 群昵称 · 收藏 · 统计 · 导出

🧠 plan · 🔨 implement · 🔍 review · ✅ QA gate · 🚢 merge Thirty-five agent skills that run a full PR pipeline. Install them into any repo, with any coding agent.

for creating, directing, validating, and delivering image, video, audio, voice, music, 3D, avatar, and interactive media.

Running 5 AI agents in parallel is easy. Making them not break each other's code is the hard part.