Claude Desktop 설치 가이드
로컬 MCP 설정을 지원하는 데스크톱 클라이언트.
MCP Servers
This repo showcases how to build Model Context Protocol (MCP) servers using Azure Cosmos DB. Explore ready-to-run samples in multiple programming languages including TypeScript,GoLang and Java.
Turn any MCP stdio server into HTTP endpoints your web app can call. Per-user session pooling, real timeout handling with background job fallback, live dashboard.
A Home Assistant Custom Component that provides an MCP (Model Context Protocol) server using , allowing AI assistants like Claude to interact with your Home Assistant instance.
[https://github.com/laurynas-biveinis/org-mcp/actions/workflows/elisp-test.yml] [https://github.com/laurynas-biveinis/org-mcp/actions/workflows/super-linter.yml] [https://melpa.
Conduct iterative, deep research using Google Gemini 2.5 Flash with Google Search Grounding and URL context. No web-scraping dependency is required.
让 AI 原生使用社媒数据的MCP服务。爬虫部分参考了MediaCrawler，将其 CLI 爬虫升级为 MCP 标准工具，让 Claude / ChatGPT 直连调用，一次配置，长期可用。
An interactive chat interface that combines Ollama's LLM capabilities with PostgreSQL database access through the Model Context Protocol (MCP).
Welcome to project! In this repository, you'll find multiple examples of setting up MCP Servers. MCP (Model Context Protocol) is a framework for AI models that enables them to store data, run tools,...
This repository contains a sample application demonstrating the use of with the Gemini API to provide spatially grounded responses using Google Maps Platform data.
大家好，我是陈明勇。本仓库将会讲解 Model Context Protocol(MCP) 的中文教程。MCP 是一种开放标准，旨在标准化大型语言模型（LLM）与外部数据源和工具之间的交互方式。
A Model Context Protocol (MCP) server running on ESP32 (and Nordic nRF52840 in sensor-only mode), exposing real-world sensor data and bus protocols to AI assistants and automation tooling over...
MCP (Model Context Protocol) is an open protocol that standardizes how applications share context with large language models.
Agent Skills
An EasyEDA Pro API skill package for AI coding tools such as Claude Code, OpenCode, QwenCode, and any other tool that supports the Agent Skills standard.
The map is not the territory. Your prompt is a map; the codebase and the real world are the territory.
ProductSpec is the open standard for product intent. It acts as a Product Harness for AI-native software work: what to build, what not to build, how to prove completion, and when intent changes.
Local-first harness for agent-built codebases. Humans steer, agents execute, maestro is the substrate.
The open-source desktop AI agent that gets work done — an agent that plans and self-corrects, agentic visual workflows, generative UI, and 100+ offline tools in a single self-hostable stack.
一句话：输入一个基金代码，Agent 把基金经理 8 年的每一笔买卖翻出来，拿 12 个月后的真实走势逐笔验对错，最后吐出一份 700KB 的单文件交互报告——K 线战役回放、买卖点验尸、独立性审判、造神检测，全都有。
Together they produce a structured Markdown test plan and a findings report with 10-state verdicts and an explicit SUT / harness / checker / environment blame classification.
LeetCode Helper is a Codex skill for solving LeetCode-style coding interview problems with optimized solutions and detailed explanations.
Deploy any Agent as an API via POST /run . The open, multi-model runtime for AI agents — works with any LLM, on any infrastructure.
A multi-agent marathon simulation built with Google ADK and Gemini. AI agents plan a marathon route through Las Vegas, simulate the environment around it (weather, traffic, crowds), and run the race...
Community-driven agent skills for AI coding assistants
The #1 Terraform skill for Claude Code and Codex, measured by GitHub stars.