Claude Desktop 설치 가이드
로컬 MCP 설정을 지원하는 데스크톱 클라이언트.
MCP Servers
Official Amplitude plugin for AI coding tools. Turn your AI assistant into a product analyst — instrument analytics, analyze charts, run experiments, and understand users directly from your editor.
Allows you to query crypto information from coincap's public API - no API keys or registration required
A defensive MCP server for Claude Desktop / any MCP client — the blue-team counterpart to offensive tooling.
Minimal MCP server for calling any KIE.ai endpoint. Pure HTTP shim — no model registry; agent constructs payloads from docs.kie.ai.
15 conectores jurídicos argentinos integrados en uno solo. Sin servidores externos de terceros. 100% local. Código abierto y auditable.
Discover, setup, and integrate MCP servers with your favorite clients. Unlock the full potential of AI in your daily workflow.
A standalone binary for connecting STDIO based MCP clients to HTTP (SSE) based MCP servers.
An MCP server that saves and retrieves AI conversation context. Hand off conversations between AI agents seamlessly. Free and no account required.
- — Every memory save commits your entire project. Roll back anytime. - — CLAUDE.md loads instantly, deep store searchable mid-conversation.
MCP server that exposes live insider trading data to any LLM.
Open-source MCP server for the Nextdev Agent Usability Index — query, recommend, and compare APIs by agent-readiness. Hosted at https://www.joinnextdev.com/api/mcp.
Printed on startup. In a real terminal the box animates in brick-by-brick (set BRICKS_BANNER=anim|static|off).
Agent Skills
Agent Harness · Spring Boot inside · One JAR to ship
Pure python3 implementation for working with iDevices (iPhone, etc...).
从多项目日常使用中提炼的 Claude Code 工作流模板——涵盖记忆管理、上下文工程与任务路由。
An open-source biomedical AI research assistant built on OpenClaw and Claude Code, integrating 140 K-Dense Scientific Skills for bioinformatics, drug discovery, clinical research, and more.
dotagents One canonical .agents folder that powers all your AI tools.
This repository contains hands-on tutorials for learning LangChain, LangGraph, and Deep Agents, organized into two learning tracks:
A self-improving product system that reads daily reports, identifies the #1 actionable priority, and autonomously implements it.
Modern agents are not "a prompt + a tool." They are — with identity, memory, skills, tools, MCP integrations, guardrails, observability, evals, and a provider strategy.
Analysis, Comparison, Trends, Rankings of Open Source Software, you can also get insight from more than 10 billion with natural language (powered by LLM). Follow us on Twitter: https://twitter.
Platform design skill pack: 450+ rules for Apple HIG, Material Design 3, and WCAG 2.2 across iOS, iPadOS, macOS, watchOS, visionOS, tvOS, Android, and Web.
The practical guide to building AI agent harnesses — with real code examples you can copy and run.
本书围绕 DeerFlow 2.0，从理论到源码，系统讲解如何进行二次开发。 所有代码示例均基于真实源码，确保与 DeerFlow 实现保持一致。