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

MCP server that gives any LLM its own computer — managed Docker workspaces with live browser, terminal, code execution, document skills, and autonomous sub-agents.

Specialized bridge designed to connect LLMs and AI agents directly to Siemens SIMATIC TIA Portal V21.

Local-first knowledge compiler for humans and agents. Inspired by Karpathy's vision. Plain markdown, CLI + MCP server.

Local macOS control server for MCP clients and Custom GPT Actions

Git-native API client with encrypted secrets.

Secrets management for AI agents via MCP • @janeesecure

Reliability gateway for AI tool output: schema-stable, secret-safe, pagination-complete JSON for MCP and CLI agents.

A self-modifying, self-verifying AI agent with persistent state. Reads its own source code. Plans changes. Tests them in a sandbox before applying.

Four small MCP tools that let apfel (Apple's on-device LLM) reach the web and read local files: url-fetch (read a page), ddg-search (web search), search-and-fetch (search+read in one call), fs...

Add vision to text-only models in Opencode (, ) — , no manual file saving.

This project is . Please provide feedback via GitHub issues.

An MCP server that provides access to LLMs using the LlamaIndexTS library.
Agent Skills

JSON spec -> .excalidraw + .png + animated .gif

A Next-Gen AI Agent Platform & Desktop Control Plane 中文文档 | Features | Getting Started | Architecture

“Scale your business with proven strategies”

AI got superpowers through Skills and MCPs. What about humans?

Agent skills and a reference guide that teach AI coding assistants to write Rails the 37signals way — extracted from Fizzy, Campfire, and 100+ of DHH's code reviews.

Unofficial API for Yahoo Finance with CLI, MCP and Agent Skill.

Reusable Agent Skills for single-page SEO auditing. Give it a URL — get a structured HTML report with actionable findings.

A source-available Codex skill for distilling photographs into sparse editorial abstractions.

The easiest way to evaluate your Agent Skills. Tests that AI agents correctly discover and use your skills.

Local FFmpeg · No cloud · No API keys · Python standard library Claude Code · Cursor · Codex · MCP

“论文不是把字堆满,而是把项目事实、样文规范、图表截图和 Word 交付一次性闭环。”

My personal library of domain-agnostic agent skills, reused across every project. Small, composable, and hackable — works with any harness that supports skills: Claude Code, Codex, opencode, Cursor,...