Claude Desktop 설치 가이드
로컬 MCP 설정을 지원하는 데스크톱 클라이언트.
MCP Servers
mcp-repl is an MCP server that gives an agent a persistent Python or R session, kept alive across tool calls.
AI-powered browser automation for Claude Code by DebugBase
Official MCP Server for NewsNow, 40+ sources available.
MCP server for Exa Search API.
MCP server + CLI that lets Claude Code agents delegate tasks to agents in other project directories. Multi-agent orchestration: parallel dispatch, sessions, async jobs, agent dialogues.
comprehensive Discord selfbot MCP server using discord.py-self
MCP server that gives AI assistants direct access to ngspice circuit simulation — design, simulate, and verify circuits through natural language
Prompt-based frameworks hope the LLM follows instructions. This one blocks the call if it doesn't.
Build ToolJet apps end-to-end via governed MCP tools and an app-builder skill.
Index documents from Jira, Confluence, or local files into a local vector database and search them. All data stays on your machine.
这是一个基于大语言模型和MCP（Model-Controller-Plugin）和Rag架构的网络安全智能助手项目。它旨在通过自然语言交互，帮助用户执行渗透测试任务、查询安全信息、分析流量包等。
The easiest path to getting an MCP server going
Agent Skills
Universal preflight security scanner for AI coding agents — Detects hooks injection, credential exfiltration & backdoors in .cursorrules, CLAUDE.md, AGENTS.md and more.
Multi-CLI plugin that orchestrates 49 AI agent personalities (start → plan → build → review → ship) across Claude Code, Codex, Cursor, Copilot, Gemini, Antigravity, Kiro, Windsurf, OpenCode, Kilo,...
▲ SEO Middleware • Web Analytics • Web CRON • WebSec • HTTP & SNMP Monitoring • ostr.io is a unified web-services platform
Please see https://fast-agent.ai for latest documentation.
发现真正适合你的高质量内容 —— BestBlogs 是 AI 驱动的私人阅读助手。
Documentation package manager for AI coding agents. Local-first. Offline-ready.
A Codex/Claude skill that enables aggressive web research via your OpenAI-compatible Grok endpoint (2api). Perfect for real-time information queries, version checking, and documentation lookup.
Not just links — real implementations with scripts, templates, and references you can use today.
One command drops a tested, versioned skill into your agent. No more ad-hoc prompts. The same rigorous steps run every time.
— This repository is under active development. Skills are being added and refined. Contributions, feedback, and ideas are welcome! See Contributing below.
Document-driven literature-review pipeline with an anti-hallucination verification stage (confirm-or-drop against OpenAlex/Crossref/Semantic Scholar).
Penpot AI kit