Claude Desktop 설치 가이드
로컬 MCP 설정을 지원하는 데스크톱 클라이언트.
MCP Servers
A Model Context Protocol (MCP) server that gives LLMs access to information about a candidate.
MCP-Dandan is an integrated monitoring service that observes MCP (Model Context Protocol) communications and detects security threats in real time.
Anthropic’s Model Context Protocol implementation for Oat++
A simple Model Context Protocol (MCP) server for Mesh.
Query and Summarize your chat messages.
Model Context Protocol server enabling AI assistants and chatbots to access transit information through standardized interfaces.
A comprehensive system for searching and analyzing German legal texts using vector embeddings and semantic search, consisting of:
A crate for making MCP (Model Context Protocol) compatible programs with rust
A lightweight CLI tool to easily configure and initialize MCPs for Claude Code.
AI-assisted TradingView chart analysis — connect Claude Code to your TradingView Desktop for personal workflow automation
Generation of Secure MCP (Model Context Protocol) Servers from API source code at Scale
This is a simple MCP (Model Context Protocol) server that connects to the PokéAPI and exposes tools that an LLM can use to fetch Pokémon data, list popular Pokémon, and build a tournament squad.
Agent Skills
Agentic prompt workflows as skills. Works with any agentskills.io compatible AI tool.
👆 showing how CLAUDE.md guides AI pair programming in Claude Code.
Curated resources for building and using Agent Skills.
AI Skills for Economists
g3 is a coding AI agent designed to help you complete tasks by writing code and executing commands. Built in Rust, it provides a flexible architecture for interacting with various Large Language...
Pasting raw Gemini or ChatGPT output with zero editing, or running a project with no anti-slop rules at all, is the 2026 equivalent of handing out a business card with an @aol.com email on it.
Repo-Docs: Keep up with the code your agents write. An evidence atlas for agent-built code. Vibe coding makes code move faster than memory.
v2.5.1 — trust-gated review workflows, markdown-first security handoff, expanded framework/database guidance, and a new Python backend skill pack for SDLC delivery.
The official Agent Skills for ClickHouse. These skills help LLMs and agents to adopt best practices when working with ClickHouse and chdb (in-process ClickHouse for Python).
- Click "Use this template" above to create your own AI agent harness. After cloning, run bash scripts/setup-template.sh to customize for your project. See TEMPLATE_SETUP.md for details.
Expose your local web server to the internet with a public URL.
Programmatic memory for long-horizon LLM agents: the harness appends everything to one log, and the agent searches it with code. 97.4% on ARC-AGI-3 (arXiv:2607.20064)