Claude Desktop 설치 가이드
로컬 MCP 설정을 지원하는 데스크톱 클라이언트.
MCP Servers
Local-first RAG MCP server in Python: hybrid search (semantic + BM25 keyword boost) over your own documents. 11 MCP tools + CLI, markitdown ingestion for 12 formats, multilingual embeddings, LanceDB.
VV knowledge layer for AI agents — MCP server exposing Visualize Value frameworks, voice, and content
Maybe the headless Ghidra MCP you are looking for.
Search and memory across your AI coding sessions — one index over Claude Code, Codex, and Pi. Fuzzy-find and resume from the CLI, give agents recall via MCP, and get usage reports.
MCP server for build123d to improve AI cognition when creating 3D CAD models
Your AI agent doesn't know what's broken in production. This fixes that.
A lightweight, zero-footprint TypeScript MCP server that lets AI assistants drive the Godot 4.x game engine.
MCP server de dados do agronegocio brasileiro: cotacoes (boi, soja, milho, leite) e conversoes
Stdio MCP server to build, run and read reports for JMeter test plans
It gives agents a safe, inspectable, token-efficient way to without falling back to brittle UI automation.
MCP server and CLI tool for interacting with the Internet Archive's Wayback Machine
- Access MATLAB documentation via matlab://documentation/getting-started URI - Get started guide with examples and usage instructions
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.