Cursor インストールガイド
開発者向け MCP サーバーとよく使われる AI コードエディタ。
MCP Servers
Index a dataset once, then retrieve column profiles, filtered rows, server-side aggregations, and cross-dataset joins — so a million-row file costs thousands of tokens instead of millions.
MCP server for interacting with Apache Superset, enabling AI agents to connect to and control a Superset instance programmatically.
Shared MCP server for the Upvote.club Public API.
A self-modifying, self-verifying AI agent with persistent state. Reads its own source code. Plans changes. Tests them in a sandbox before applying.
One command. TypeScript Python. Example tools, the Inspector, and tests — all wired up. Or point it at an OpenAPI spec and get
- 🧾 — every MCP tools/call request is now recorded in a dedicated, self-hosted table (wp_wsp_mcp_audit_log): tool name, timestamp (UTC), acting user (or unauthenticated), request IP, and the outcome...
MCP Fundamentals 🧱 Meet users in the AI apps they already use Your users are increasingly getting accustomed to using natural language to communicate with AI apps like ChatGPT, Claude Desktop, and...
Add vision to text-only models in Opencode (, ) — , no manual file saving.
MCPMate is a progressive MCP management center for organizing servers, clients, profiles, capabilities, and runtime visibility in one local workspace.
Outcome-Based Persistent Memory MCP Server
The open-source trust layer for bringing Claude Code (and other autonomous AI agents) to work — with your security team's approval.
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...
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)