Claude Desktop 安装指南
支持本地 MCP 配置的桌面客户端。
MCP Servers

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...

Production ready MCP server with real-time search, extract, map & crawl.

A Model Context Protocol server for Google Workspace services. This server provides tools to interact with Gmail and Google Calendar through the MCP protocol.

A Model Context Protocol (MCP) server for Chess.com's Published Data API.

This package provides OpenStreetMap integration for MCP, allowing users to query and visualize map data through an MCP interface.

Memory Bank MCP Structured project knowledge management for LLMs via Model Context Protocol (MCP)

MCP server for Apple Developer Documentation - Search iOS/macOS/SwiftUI/UIKit docs, WWDC videos, Swift/Objective-C APIs & code examples in Claude, Cursor & AI assistants

Effortlessly Build and Serve Model Context Protocol (MCP) Servers with OpenAPI, Swagger, or Google Discovery Specifications using .NET.

- gives AI assistants deep read/write access to the Unreal Editor through 24 category tools covering 736+ actions, plus a YAML flow engine for multi-step workflows.

A unified Model Context Protocol server implementation that aggregates multiple MCP servers into one.

Playwright AI Agent POM MCP ServerPlaywright AI Agent using Page Object Model (POM) architecture with MCP Server integration for automated web and mobile testing

A Model Context Protocol (MCP) server that provides network asset information based on query conditions.
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!