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
is a minimalist implementation of agents powered by LLMs and Model Context Protocol (MCP) tools.
A testing suite and reference implementation for the Model Context Protocol (MCP).
We build reliable servers thoughtfully designed for MCP Client-powered workflows.
Kernel-level sandboxing for LLM agent tool calls made through the Model Context Protocol (MCP).
"The question is not what you look at, but what you see." — Henry David Thoreau
Ollama MCP is a tool for connecting Ollama-based language models with external tools and services using the Model Context Protocol (MCP).
mcp4k is a compiler-driven framework for building both clients and servers using the Model Context Protocol (MCP) in Kotlin.
This is a Model Context Protocol (MCP) server that converts Figma designs to React components. It provides tools for fetching Figma designs and generating React components with TypeScript and...
The Model Context Protocol enables AI models to interact with external systems through tools, resources, and prompts.
An example personal assistant built with Mastra and MCP (Model Context Protocol) that helps with various daily tasks and information management.
A TypeScript library that bridges OpenAI's Realtime API with Model Context Protocol (MCP) servers, enabling voice-driven tool execution.
This repository contains implementations of the Model Context Protocol (MCP), an open standard that connects AI systems with external tools and data sources.
Agent Skills
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!
For more advanced capabilities and end-to-end machine learning, visit www.k-dense.ai.
is the open-source, MIT-licensed agent skill powered by the world's first agentic AI user researcher.
— The node schema bundled with n8n-as-code is built against the latest stable release of n8n. Keep your n8n instance up to date for best generation and validation results.
Your AI skills and agents, finally organized.
An interactive five-chapter night walk through a Kyoto mountain temple, rendered live in Three.js.
When Codex starts feeling heavy after weeks of chats, terminals, logs, worktrees, and project history, this gives you a calm way to inspect what is going on and reduce local drag.
A curated collection of JavaScript snippets to measure and debug Web Performance directly in your browser's DevTools console.
Model export recipes, Python primitives, and Swift runtime utilities for building on-device AI with Core AI.
Beautiful React Native components. One command away.
A CLI written in Go language that writes git commit messages or do a code review brief for you using ChatGPT AI (gpt-4.1, gpt-4o model) and automatically installs a git prepare-commit-msg hook.