Claude Desktop 설치 가이드
로컬 MCP 설정을 지원하는 데스크톱 클라이언트.
MCP Servers
An open-source AI coding agent, written in Rust, with a native GUI, a terminal mode, and integrations for editors and MCP clients.
](https://github.com/giginet/xcodeproj-mcp-server/blob/main/LICENSE.md)
Monitor browser logs directly from Cursor and other MCP compatible IDEs.
A Model Context Protocol server that provides knowledge graph management capabilities. This server enables LLMs to create, read, update, and delete entities and relations in a persistent knowledge...
MCP server implementation for Keycloak user management. Enables AI-powered administration of Keycloak users and realms through the Model Context Protocol (MCP).
MCP server for interfacing with Godot game engine. Provides tools for launching the editor, running projects, and capturing debug output.
MCP server for Atlassian tools (Confluence, Jira)
Build effective agents using Model Context Protocol and simple workflow patterns
A Model Context Protocol server that provides debugging functionality for both GDB and LLDB debuggers, for use with Claude Desktop, VSCode Copilot, or other AI assistants.
The fullstack MCP framework to develop MCP Apps for ChatGPT / Claude & MCP Servers for AI Agents.
This is a TypeScript-based MCP server that implements a simple notes system. It demonstrates core MCP concepts by providing:
Model Context Protocol (MCP) server for Hostinger API.
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...