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
This repository contains a complete tutorial on how to create an MCP (Modular Computational Platform) client in Python using FastAPI.
MCP-based assistant for busy people who are context switching
The AI Config Plaza. Stop configuring AI tools from scratch. Discover, share, and one-click install verified configurations for MCP servers, Agents, and Prompts.
Unified native desktop UI for Claude Code, Gemini CLI, Hermes, Crush, Codex, and Cursor — multi-agent, MCP-native, written in Rust + GPUI.
Desktop extension (.mcpb) for Claude Desktop. Single-click install via Settings → Extensions.
MCP server provides Feishu related operations to AI encoding agents such as cursor 飞书MCP插件，读取文档、发送消息、合同审批、数据处理.....
Shared MCP server for the Upvote.club Public API.
a lib to build MCP clients and MCP servers in Clojure(script)
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No Microsoft Graph API, no Entra app registration, no OAuth tokens — just your local Outlook and the authentication you already have.
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.
Universal AI Tool Orchestrator - Sync skills, MCPs, and memory across Claude Code, Codex, Gemini CLI, OpenCode, OpenClaw...
Agent Skills
Minimal Coding Agent Harness on MCP for ChatGPT, Claude, Hermes, Grok Bot, OpenClaw
Building AI agents, atomically
the runtime your coding agents live on
Anthony Fu's curated collection of agent skills.
Режим идиоматического русского мата для AI-агентов. Короче, душевнее, эффективнее. 18+
🌐 Make websites accessible for AI agents. Automate tasks online with ease.
Skillpack helps teams turn AI skills into trusted local agents that can run in their own environment and be used directly from and .
一套**的手绘画风提示词配方。把你想画的内容,套进内置画风,产出可直接复制去喂图像模型的**。适用于任意能读自定义指令的 AI Agent——Claude Code、Cursor、Codex CLI、Gemini CLI、Cline、Windsurf 等。
is an open-source, LLM-powered knowledge framework built for enterprise-grade document understanding, semantic retrieval, and autonomous reasoning.
Open-source, local-first desktop AI research workbench for scientific computing with Python/R, MCP bioinformatics tools, SSH/WSL/GPU runtimes, and OpenAI/Anthropic models.
Think package.json, requirements.txt, or Cargo.toml — but for AI agent configuration.
AutoRAG: Now your agent can find anything in your computer. It gets smarter if you are using it frequently.