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 Python-based flow for securities analysis using the . The repository bundles market data, parsing, analytics and visualisation tools behind a FastMCP server so that they can be consumed locally or...
Grant the AI octopus access to a portion of your desktop with a Model Context Protocol (MCP) server for the GNOME desktop.
This project provides a Java implementation for both an A2A (Agent-to-Agent) server and client. to standardize how AI agents communicate and exchange information, fostering a vibrant ecosystem of...
A Nuxt module to easily create a Model Context Protocol (MCP) server directly in your Nuxt application.
An Model Context Protocol (MCP) server that provides access to the Fastmail API, enabling AI assistants to interact with email, contacts, and calendar data.
Gearcoleco is a very accurate, cross-platform ColecoVision emulator written in C++ that runs on Windows, macOS, Linux, BSD and RetroArch, with an embedded MCP server for debugging and tooling.
Connect any MCP-compatible AI to Discord. Do real community work safely. Verify complete guild builds.
MCP In Action 是一个实战项目，旨在帮助开发者快速掌握 Model Context Protocol (MCP) 的开发与应用。本项目通过实际案例展示如何构建基于 MCP 的应用，使大语言模型能够与外部工具和数据源进行交互，从而增强模型的能力范围。
A Python project that creates a Model Context Protocol (MCP) server for accessing MLB statistics data through the MLB Stats API and pybaseball library for statcast, fangraphs, and baseball reference...
Enhanced MCP server for interactive user feedback and command execution in AI-assisted development, featuring dual interface support (Web UI and Desktop Application) with intelligent environment...
Your AI coding assistant has short-lived memory. Every chat session starts from a blank slate.
MCP is powerful. Managing it is a nightmare. Every AI tool has its own config format, its own file location, its own quirks. OAuth tokens expire. API keys and tokens sit in plaintext JSON.
Agent Skills
🤖 Type-safe, provider-agnostic TypeScript AI SDK for streaming chat, tool calling, agents, and multimodal apps across OpenAI, Anthropic, Gemini, React, Vue, Svelte, and Solid.
Effortlessly compose, extend, and observe every service in real-time for the first time ever.
Make Every Hardware Intelligent — an open-source Agent OS for hardware intelligence
🦄 Monads and popular FP abstractions, powered by Go 1.18+ Generics (Option, Result, Either...)
Craft AI-driven interface effortlessly🤖
:warning: — The Windows App Development CLI (winapp CLI) is experimental and in active development. We'd love your feedback! Share your thoughts by creating an issue.
The simplest desktop client for OpenClaw 🦞 — bridge your Agent to WeChat, Feishu, Slack & Discord in one click. Works with Claude Code, Codex & any LLM.
A comprehensive, build-ready reference for constructing a high-performance personal knowledge system using Obsidian and Claude Code, grounded in Andrej Karpathy's "LLM Wiki" pattern (April 2026).
A unified library of SOTA model optimization techniques like quantization, distillation, pruning, neural architecture search, speculative decoding, etc.
Code for Machine Learning for Trading, 3rd edition — from data sourcing to live execution.
Independently written prompt templates for building AI coding agents, inspired by patterns observed in Claude Code codebase.
Official TestSprite CLI — AI-powered automated testing from your terminal