Claude Desktop 설치 가이드
로컬 MCP 설정을 지원하는 데스크톱 클라이언트.
MCP Servers
MCP (Model Context Protocol) server to manage documents and perform searches using Needle through Claude's Desktop Application.
A high-performance for , enabling AI assistants like , , and other MCP clients to interact seamlessly with your Metabase instance.
https://youtu.be/K0t6MRyIqZU?si=Mz4d65DcAD3i2YbO
Connect AI agents to your ThingsBoard IoT platform via Model Context Protocol (MCP). Query devices, manage entities, analyze telemetry, and automate operations — all through natural language.
A Model Context Protocol (MCP) server that automates optimization and analysis using Optuna.
Manage variable names, constants, and standard terminology per project systematically, and integrate with Cursor IDE to help LLMs use consistent naming conventions.
A Model Context Protocol (MCP) server that provides C++ code analysis capabilities through clangd LSP integration.
The Kubeflow MCP Server exposes Kubeflow Training operations as Model Context Protocol tools, enabling AI agents (Claude, Cursor, Claude Code, or any custom agents etc.
A Model Context Protocol (MCP) server implementation that connects Large Language Models (LLMs) to the GeoServer REST API, enabling AI assistants to interact with geospatial data and services.
The implementation of Model Context Protocol (MCP) server for VictoriaLogs.
대한민국 국회 관련 Open API를 Model Context Protocol (MCP) 서버로 제공합니다.
Official MCP (Model Context Protocol) server for stackzero-labs/ui. Official Docs » Get started · Report Bug · Request Feature
Agent Skills
Shiny for Python is the best way to build fast, beautiful web applications in Python. You can build quickly with Shiny and create simple interactive visualizations and prototype applications in an...
One Python API: store media, run models, index embeddings, serve endpoints, and version everything in a single system instead of gluing together blob storage, a vector DB, an orchestrator, and edge...
Adala is an **utonomous **ta (**abeling) **gent framework.
Beautiful UI components built for Better Auth.
KAI Scheduler is a robust, efficient, and scalable Kubernetes scheduler that optimizes GPU resource allocation for AI and machine learning workloads.
Your AI skills and agents, finally organized.
Model export recipes, Python primitives, and Swift runtime utilities for building on-device AI with Core AI.
本项目是基于吴恩达老师在 DeepLearning.AI 平台推出的 agent-skills-with-anthropic 系列课程的中文学习资料整理项目。我们致力于为中文学习者提供高质量的课程内容翻译、系统的知识点梳理以及详细的示例代码解读，帮助大家更轻松地掌握 Agent Skills。
A collection of AI agent skills focused on resume optimization, job applications, and career development.
For more advanced capabilities and end-to-end machine learning, visit www.k-dense.ai.
upfetch is an advanced fetch client builder with standard schema validation, automatic response parsing, smart defaults and more.
📚 Check out the comprehensive docs with detailed guides, examples, and best practices!