Cursor 安装指南
常与开发类 MCP Server 搭配使用的 AI 代码编辑器。
MCP Servers
A Model Context Protocol (MCP) server that provides Google Search functionality using Gemini's built-in Grounding with Google Search feature.
Minimal API & React framework, fully type safe, OpenAPI, RSC, MCP, type safe client, streaming with SSE
A proof-of-concept implementation of a Model Context Protocol (MCP) server that runs in WebAssembly (WASM) within a web browser.
Sample MCP Server and MCP client using Aspire.
An example personal assistant built with Mastra and MCP (Model Context Protocol) that helps with various daily tasks and information management.
OpenAPI MCP is an open-source framework for exposing any OpenAPI-documented HTTP APIs as MCP servers.
This repository contains a sample application demonstrating the use of with the Gemini API to provide spatially grounded responses using Google Maps Platform data.
is a desktop client built with Electron, Vite, React, and TypeScript, designed to interact with various Model Context Protocol (MCP) servers.
STK-MCP is an MCP (Model Context Protocol) server designed to enable Large Language Models (LLMs) or other MCP clients to interact with Ansys/AGI STK (Systems Tool Kit) - the leading Digital Mission...
A TypeScript library that bridges OpenAI's Realtime API with Model Context Protocol (MCP) servers, enabling voice-driven tool execution.
A centralized platform for managing and connecting MCP (Model Context Protocol) servers. MCP Center provides a high-performance proxy service that enables seamless communication between MCP clients...
A central registry and HTTP interface for coordinating Model Context Protocol (MCP) servers.
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!