Claude Desktop 설치 가이드
로컬 MCP 설정을 지원하는 데스크톱 클라이언트.
MCP Servers
(for clients and catalogs that display a stable package name): io.github.KuudoAI/amazon_ads_mcp
BlockbenchMCP connects Blockbench to Claude AI through the Model Context Protocol (MCP), allowing Claude to directly interact with and control Blockbench.
MCP for xiaohongshu.com
AdaptixC2 MCP Server — Model Context Protocol server that enables AI agents to interact with AdaptixC2 through MCP.
A Model Context Protocol server implementation for AWS operations that currently supports S3 and DynamoDB services.
A Model Context Protocol server for interacting with Ledger CLI, a powerful, double-entry accounting system accessible from the command line.
A Go implementation of the Model Context Protocol (MCP), enabling seamless integration between LLM applications and external data sources and tools.
This project follows the Model Context Protocol standard, allowing AI assistants to interact with Square's connect API.
Model Context Protocol(MCP) 编程极速入门
DeepView MCP is a Model Context Protocol server that enables IDEs like Cursor and Windsurf to analyze large codebases using Gemini's extensive context window.
A Model Context Protocol (MCP) server that enables Claude Desktop to search your content using Azure AI services.
NX MCP is a local Model Context Protocol server for Siemens NX automation. The 0.2.0.dev0 line replaces the unverified direct-attach design with two explicit processes:
Agent Skills
Running 5 AI agents in parallel is easy. Making them not break each other's code is the hard part.
AI agents should not give project advice from vibes.
Personal memory across agents
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provide for AI agents, helping them build complete automated document workflows. Before large-model reasoning begins, ComPDF Skills can handle document parsing, OCR, data extraction, and structured...
Open-source paid media agent for Google Ads, Meta Ads, Reddit, LinkedIn, X, and OpenAI Ads: analysis, reports, and reviewed changes, built on Deep Agents.
RPC messaging library for the VS Code extension platform
Agent skills for Obsidian. Teach your agent to use Obsidian CLI and open formats including Markdown, Bases, JSON Canvas.
A curated list of high-signal resources for (formerly , originally ): frameworks, skills, tooling, deployments, and real-world use cases.
Agent Skill: Check academic paper citations for format, queryability, thematic relevance, and semantic accuracy.
Comprehensive best practices for building applications with the TanStack ecosystem. These skills provide AI coding agents with structured guidelines for TanStack Query, TanStack Router, and TanStack...
The real-time engine for AI agents on the JVM. Tokens flow from the LLM runtime to the client through a broadcaster you can filter, gate, and observe — over WebSocket, SSE, long-polling, or gRPC, and...