Claude Desktop 설치 가이드
로컬 MCP 설정을 지원하는 데스크톱 클라이언트.
MCP Servers
codespelunker - CLI code search tool that understands code structure and ranks results by relevance. No indexing required with CLI, TUI, MCP and HTTP support.
Integrate QuantConnect's research environment, statistical analysis, and portfolio optimization into your AI workflows. Locally hosted, secure & capable of dramatically improving productivity
An open-source Model Context Protocol server that gives AI agents (Claude, ChatGPT, Cursor, and others) direct read/write access to Sitecore.
Geocoding MCP server with GeoPY!
A Model Context Protocol server implementation for interacting with Salesforce through its REST API using jsforce.
A specialized MCP server for Payload CMS 3.0 Validate code, generate templates, and scaffold projects following best practices
mcpr is an R implementation of the Model Context Protocol (MCP), enabling R applications to expose capabilities (tools, resources, and prompts) to AI models through a standard JSON-RPC 2.0 interface.
A modern desktop application for managing Model Context Protocol (MCP) servers across multiple AI agents
A clojure-sdk for creating Model Context Protocol servers!
Chrome MCP Server is a Chrome extension-based Model Context Protocol (MCP) server that exposes your Chrome browser functionality to AI assistants like Claude, enabling complex browser automation,...
Compose, manage, and run MCP servers as Docker containers. With a Unified API gateway built in.
Use any LLMs (Large Language Models) for Deep Research. Support SSE API and MCP server.
Agent Skills
🌐 Make websites accessible for AI agents. Automate tasks online with ease.
the runtime your coding agents live on
Small, composable skills for coding agents.
Think package.json, requirements.txt, or Cargo.toml — but for AI agent configuration.
The official Lark/Feishu CLI tool, maintained by the larksuite team — built for humans and AI Agents.
Personal dotfiles with modern shell tooling, optimized for Laravel/PHP development. Features fast startup times, smart directory navigation, and modern CLI tools.
Building AI agents, atomically
Режим идиоматического русского мата для AI-агентов. Короче, душевнее, эффективнее. 18+
Open-source, local-first desktop AI research workbench for scientific computing with Python/R, MCP bioinformatics tools, SSH/WSL/GPU runtimes, and OpenAI/Anthropic models.
Autonomous research system for measurable, computer-executable research.
LLM-compiled knowledge bases for any AI agent. Parallel multi-agent research, collector catalogs, automated session capture, feedback curation, thesis-driven investigation, source ingestion, wiki...
You don't write AGENTS.md. You train it with gradient descent.