Claude Desktop 설치 가이드
로컬 MCP 설정을 지원하는 데스크톱 클라이언트.
MCP Servers
Cesium AI Integrations is a collection of reference integrations, experiments, and patterns that connect the Cesium ecosystem with AI systems such as LLMs, retrieval pipelines, and agent workflows.
A simple, locally hosted Web Search MCP server for use with Local LLMs
The GPT-RAG MCP service deploys a Python MCP server built with FastMCP and Starlette. It is consumed by GPT-RAG through the orchestrator mcp strategy and is not tied to an AutoGen-specific runtime.
A desktop MCP client designed as a tool unitary utility integration, accelerating AI adoption through the Model Context Protocol (MCP) and enabling cross-vendor LLM API orchestration.
EasyMCP is usable but in beta. Please report any issues you encounter.
MKP is a Model Context Protocol (MCP) server for Kubernetes
Build powerful AI applications with graph-powered RAG using Memgraph. This toolkit provides everything you need to integrate knowledge graphs into your GenAI workflows.
The Dataverse Remote MCP Server has been released at Build. To help you get started, we have prepared labs for you to try out.
Automated security scanner for Model Context Protocol servers that detects RCE, path traversal, prompt injection, and protocol vulnerabilities.
Autonomous multi-agent AI system with document processing, web automation, and code execution powered by LLM agents and MCP servers
A powerful MCP toolkit for coding, providing semantic retrieval and editing capabilities - the IDE for your agent
Model Context Protocol servers you can actually run yourself.
Agent Skills
The easiest way to evaluate your Agent Skills. Tests that AI agents correctly discover and use your skills.
The central challenge in AI development isn't a lack of ideas, but the inconsistent process of turning them into robust, reliable skills.
Generate and evaluate agent skills based on traces with agents. Create skills with teacher models (expensive/slow) that student models (cheap/fast) can use to perform harder tasks reliably.
这里不是一叠孤立的提示词。每个 Skill 都用 SKILL.md 固化触发条件、工作阶段、确认门槛和交付物，让 Codex、Claude Code 等 Agent 在产品、开发、研究、写作和日常效率任务中按同一套方法工作。
Give an AI agent a link to an OpenAPI spec, GraphQL schema, or MCP server and get back a ready-to-use Agent Skill with wrapper scripts, references, and usage notes.
Local FFmpeg · No cloud · No API keys · Python standard library Claude Code · Cursor · Codex · MCP
Write a SKILL.md, drop in some evals, and find out — empirically — whether your skill actually makes the model better at the task.
An is a plugin that teaches AI coding agents best practices for a specific technology, delivered as a portable Markdown knowledge pack.
即梦 是字节跳动的多模态 AI 视频生成模型，支持图片 / 视频 / 音频混合输入，可生成 4–15 秒的高质量视频。
A collection of Claude Code skills for academic research workflows.
On February 28th, 2026, DeerFlow claimed the 🏆 #1 spot on GitHub Trending following the launch of version 2. Thanks a million to our incredible community — you made this happen! 💪🔥
One command. 25 agent skills. Zero to profitable business.