Claude Desktop 설치 가이드
로컬 MCP 설정을 지원하는 데스크톱 클라이언트.
MCP Servers
A Kibana MCP server implementation that allows any MCP-compatible client (such as Claude Desktop) to access your Kibana instance via natural language or programmatic requests.
Put Claude Code, Cursor, Codex, Gemini & Antigravity in one room — real-time multi-agent AI collaboration over MCP for distributed dev, code review, PR handoff & frontend↔backend integration.
Universal database MCP server — give AI assistants read/write access to your databases using connections already saved in your local DB client workspace (DBeaver-compatible).
MCP Audit scans your AI development tools (Claude Desktop, Cursor, VS Code) and reveals:
Local-first CLI + MCP server: Any file → AI-ready Markdown + JSON
Unlock the full potential of your reMarkable tablet as a for AI assistants. This MCP server lets Claude, VS Code Copilot, and other AI tools read, search, and traverse your entire reMarkable library...
v3.0.0 — The data plane now drives NotebookLM's (the same one the web app calls) instead of scraping the DOM — (list notebooks ~1 s vs ~30 s, generate a report ~13 s vs minutes), and more correct.
VoidMob MCP server for mobile proxies, non-VoIP SMS verifications, dedicated private numbers and global eSIMs.
AI image generation, video generation, music creation, text-to-speech, prompt search, and model discovery — 130+ models from Flux, Kling, Seedance, Veo, Suno, ElevenLabs, Claude, GPT, Gemini, and 18...
X/Twitter research MCP for Claude, Cursor, Windsurf and any MCP-compatible AI agent
AppControl MCP is a local server connecting AI agents and IDEs like Claude, Cursor, and Windsurf to system history provided by the AppControl desktop app.
Marketcaper MCP gives AI agents fresh market data and something worth posting: cited cross-asset comparisons, asset snapshots, ready-to-publish comparison packs, and hosted stock heatmap images.
Agent Skills
Deploy any Agent as an API via POST /run . The open, multi-model runtime for AI agents — works with any LLM, on any infrastructure.
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.
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...
An agent skill for managing isolated execution environments
mim·e·o — to reproduce, to copy, to imitate.
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.
Main Agent spawns Subagents like a hen with her chicks 🐔🪺🐦
交互地图 · 每日时间轴 · 出发前订票提醒 · 行前须知 · 待选航班 · 片区价位酒店
Part of the NVIDIA Cosmos project family — the training and serving framework repository.
Science Superpowers is a complete computational-science methodology for your research agents, built on a set of composable skills plus initial instructions that make sure your agent actually uses...
Guides and production-ready commands for Claude Code: skills, subagents, hooks, memory, custom commands, and conversation-history tooling.
is a config-driven dev tool for Elixir projects that manages your AGENTS.md file and agent skills from dependencies. It: