A robust scaffolding toolkit enabling TypeScript-first bootstraps with monorepo templates, modern tooling, and extensible backend and client scaffolds.

🔐 Plug-and-play auth for Python MCP servers.

Modao Proto MCP is a standalone MCP (Model Context Protocol) service designed to connect Modao Proto design tools with AI models.

mcp collection

OCaml implementation of the Model Context Protocol (MCP)

小智MCP合集

A FastMCP server that provides AI assistants like Claude with access to Kroger's grocery shopping functionality through the Model Context Protocol (MCP). This server enables AI assistants to find stores, search products, manage shopping carts, and access Kroger's comprehensive grocery data via the kroger-api python library.

roo code memory bank mcp server

mcp chat

mcp tool chainer

🤖 Android MCP 框架 - 让你的手机听懂人话！ 📱 智能控制，从指尖开始，让你可以用自然语言控制你的Android设备！无需复杂编程，只需简单对话！✨ 🧠 它能做什么？ 🗣️ 自然语言控制 - "打开微信发消息给妈妈" 🔍 自动学习应用 - 自动探索和理解设备上的应用 🔄 深度应用探索 - 智能发现应用功能和界面 💬 上下文理解 - 记住对话历史，理解连续指令 🛠️ 简单API接口 - 方便集成到其他系统

outlook mcp server

TypeScript-based tool to extract narrative and API docs for a dependency within a local project using Daipendency bindings.

A .NET MCP implementation enabling tool execution, prompts, and resources with async transport; foundation for the official C# SDK.

Arthas MCP Server is an MCP-based diagnostic toolkit for Java applications, designed for LLM integration. It integrates with Alibaba Arthas so AI assistants can analyze and diagnose Java apps.

n8n node for Claude Code SDK integration with MCP support

MCP сервер для получения метаданных конфигурации 1С

This is a repository where the labs for the Dataverse Remote MCP server will live.

MCP Scheduler is a task automation server that lets you schedule shell commands, API calls, AI tasks, and desktop notifications using cron expressions. Built with Model Context Protocol for seamless integration with Claude Desktop and other AI assistants.

Multi-Agent Systems with Google's Agent Development Kit + A2A + MCP

Atom of Thoughts (AoT) MCP is a server that decomposes complex problems into independent atomic units of thought, using the dependencies between these units to deliver more robust reasoning and validated insights.

A complete walkthrough on how to build an MCP server to serve a trained Random Forest model and integrate it with Bee Framework for ReAct interactivity.

pipedrive mcp server

Extracts the Deepseek R1 thinking chain to power Claude Desktop and MCP clients with transparent reasoning traces.