This is an automated deployment script project for installing and configuring multiple Model Context Protocol (MCP) robot services on a Windows system, including functions such as file system, GitHub, search, and memory management, and provides detailed installation guides and troubleshooting methods.

AI agent robot project based on multi-MCP servers

A simple example project of an MCP Server that implements weather query and message push functions through the Gaode Weather API and DingTalk robot

The Minecraft MCP integration project enables AI assistants to interact with the Minecraft server and observe and operate in the game world through robots.

This project uses Spring AI and the MCP protocol to achieve natural language control of the mBot2 robot. It includes a Spring Boot application, an MQTT message queue, and a Python script on the robot side, supporting AI calls for instructions such as exploration and turning.

This project implements a Langchain - based chatbot system by building multiple MCP servers (mathematical calculation, weather query, LLM selection) and a client. Users can interact with the robot through the Streamlit interface.

An intelligent conversational robot project based on large models, supporting multi - platform access and multiple AI models, with text, voice, image processing, and plugin expansion capabilities, and can customize enterprise AI applications.

MCP Server Management Robot Project

A robot control server project based on FastMCP, supporting movement action control, and the navigation function will be expanded in the future.

This project implements an MCP server as a bridge for interacting with the Gausium robot OpenAPI, supporting functions such as querying robot status, task reports, and maps.