Cursor Install Guide
AI code editor frequently used with developer-focused MCP servers.
MCP Servers
Professional Serial Port Debugging Assistant with Modbus, PLC, CAN, I2C/SPI support and MCP server
](https://github.com/rust-mcp-stack/rust-mcp-sdk/actions/workflows/ci.yml) ](examples/hello-world-mcp-server-stdio)
furi is an easy to use, CLI & API for MCP management.
Shared MCP server for the Upvote.club Public API.
A Docx document processing service based on the FastMCP library, supporting the creation, editing, and management of Word documents using AI assistants in Cursor.
A simple MCP server that lets AI assistants help you with domain research - checking availability, looking up WHOIS info, finding expired domains, and more.
Drop a .pcap file, ask questions in plain English — get answers backed by real tshark data.
🔥 MCP Mastery: Build AI Apps with Claude, LangChain and Ollama
一款面向 的跨平台桌面工具。把提示词模板、自定义 Prompt、第三方 API 供应商、会话同步、Skills / MCP 和 TOML 配置都放进可视化界面里，不用反复手改文件。
Personal finance, keyboard-first. Available as a or a — both running over the same local data: Plaid sync, CSV import, categorize, tag, search, analyze.
Agent Browser eliminates the need to configure each MCP server in every client. Connect your clients once to Agent Browser, and it will manage all your Server-Sent Events (SSE) MCP servers for you.
MCPSafari: Native Safari MCP Server for AI Agents
Agent Skills
The Best AI Agent Framework for Agent Collaboration.
The open sharing protocol for the agentic era. A Linux Foundation AI & Data Project
Agent Skills
- : Turn your idea into a video using your coding agent. - : Edit and animate using drag and drop. - : Connect to data, and manage complexity with code.
Reverse-engineer any design system into a Claude-ready skill. Pure static analysis. No AI. No API keys.
Craft AI-driven interface effortlessly🤖
Official Pulumi Agent Skills for writing, migrating, and operating infrastructure with AI coding agents
- [2026/05/01] 🔥 (📃Paper) has been released.
A Claude Code of the skills we share at AI Builder Club for building : agents that get triggered on their own, pick up work, ship it, verify it, and log what they learned, so the work compounds...
"To achieve great things, two things are needed: a plan and not quite enough time." - attributed to Leonard Bernstein
Commonplace studies how agentic systems can change after deployment through inspectable knowledge artifacts.
LiteRT-LM is Google's production-ready, high-performance, open-source inference framework for deploying Large Language Models on edge devices.