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
This repository contains a complete tutorial on how to create an MCP (Modular Computational Platform) client in Python using FastAPI.
MCP server to enable an LLM to do basic static triage of a PE.
The open-source RAG platform: built-in citations, deep research, 22+ file formats, partitions, MCP server, and more.
A simple NextJS MCP client with sensible keybindings
Local macOS control server for MCP clients and Custom GPT Actions
Professional Serial Port Debugging Assistant with Modbus, PLC, CAN, I2C/SPI support and MCP server
Persistent, local, cross-IDE memory for AI agents — markdown source of truth, LanceDB-powered semantic search, zero cloud dependency
Local-first knowledge compiler for humans and agents. Inspired by Karpathy's vision. Plain markdown, CLI + MCP server.
The MCP ecosystem has grown to 10,000+ servers, but discovering and installing them remains painful. Existing directories — Glama, PulseMCP, mcp.so — are all closed source.
Local-first MCP policy proxy. Tool-block, SQL-mutation gate, PII redact, audit, rate-limit, OpenTelemetry, vault secrets, first-use quarantine, schema pre-inject. No hosted gateway.
Your senior Microsoft 365, Intune, and Entra admin, installed in the AI client you already use. Agent Skills plus MCP servers for Claude Code, Cursor, Codex, Gemini, and GitHub Copilot, with a human...
Git-native API client with encrypted secrets.
Agent Skills
— 199 bioinformatics skills for Claude Code covering RNA-seq, single-cell analysis, genomics, proteomics, drug discovery, and more. Boosted BixBench from 65% to 92%. Open source.
High-performance personal AI assistant in C++17
Quick Start · Claude Code · CLI Reference · Models · Docs
本リポジトリは、ミノ駆動氏の公開資料を基に、設計判断の原則をAI Skillとして再構成する非公式プロジェクトです。ミノ駆動氏および所属組織による監修・承認・推奨を受けたものではありません。
░█░█░█▀█░█▀█ ░█▀▄░█░█░█░█ ░▀░▀░▀▀▀░▀░▀ Minimal coding agent harness
Audit your documentation and website for : ensure your content is discoverable, parseable, and useful to AI coding agents.
Built from practice, not theory — calibrated against real deals including vLLM/Inferact ($150M @ $800M) and Hugging Face ($235M @ $4.5B).
面向硬件产品的PCB方案设计 AI Agent。输入产品需求，输出可评审、可落地的PCB原理图的方案。
A structured repository for creating and maintaining NestJS Best Practices optimized for agents and LLMs.
skill infrastructure for multi-agent projects
Make AI coding agents remember your project between sessions.
Portable operating instructions for AI agents controlling Android and iOS devices—locally or in the cloud.