Cursor Install Guide
AI code editor frequently used with developer-focused MCP servers.
MCP Servers

The most comprehensive Proton Mail MCP server ever created.

Let AI assistants read, search, and post in your Mattermost workspace

Send requests to OpenAI, Anthropic, and OpenAI-compatible providers using MCP protocol via tool or predefined prompts.

MCP server for external memory layer for AI agents + more . Download from pypi , and get started

This is a PoC MCP server developed as part of some internal experiments during the development of CS 4.12 and the CS REST API. More information can be found here.

An MCP server implementation that integrates the Hyperliquid SDK.

A memory, docs, and repo context layer for engineering agents.

We use AI for everything - analysis, reports, strategy. But when it comes to actually seeing the story in your data, you're stuck copying numbers into a spreadsheet and building charts yourself.

— A crypto data gateway for AI assistants, powered by the BlockBeats Pro API.

Minimal but real MCP server that ingests a GLB/GLTF floorplan scan (for example captured with Polycam https://poly.cam/) and exposes deterministic spatial tools over a compact derived scene graph.

DOM-first AI browser automation for Chrome and MCP clients.

下载 AI-Browser-MCP-x64-v3.0.0.zip(~157MB),解压运行 AI-Fbowser-Mcp.exe。在 Cursor / Claude 里说句话,**自动执行:采集数据、逆向 POST 加密、CDP 定位签名算法、自动填表。
Agent Skills

This repository provides technical guidance for users and developers using Amazon EC2 instances powered by AWS Graviton processors (including the latest generation Graviton5 processors).

A curated list of delightful NoCode / LowCode applications and resources. For more awesomeness, check out awesome.

ThingLinks is an enterprise-grade built on Spring Cloud microservices architecture. It delivers device connectivity, supporting on a single node with plugin-based extensibility and multi-protocol...

本项目围绕吴恩达老师在 DeepLearning.AI 推出的 Agentic AI 系列课程,致力于为中文学习者提供高质量的课程内容翻译、系统化的知识梳理、关键概念解析以及配套示例代码的详细解读。项目不仅帮助学习者跨越语言障碍,更通过结构化整理与实践引导,深入理解“智能体”(Agent)在现代 AI 系统中的核心作用,掌握构建自主、协作、推理型 AI 应用的关键方法。

橙皮书 (Orange Book) Series · by HuaShu (花叔)