The MCP server for industrial Internet of Things and edge computing provides 11 tools through HTTP endpoints, enabling AI - driven industrial automation, predictive maintenance, and smart factory operations, and supporting multiple protocols such as MQTT and Modbus.

The Supabase MCP Server is a middleware that bridges MCP clients and Supabase services, providing comprehensive functions such as database operations, storage management, and edge function calls.

Fastly MCP is a tool that integrates Fastly API features into an AI assistant through the Model Context Protocol (MCP), allowing users to manage CDN services, caching, security configurations, etc. via AI while protecting the security of API keys.

This is an MCP protocol demonstration project based on Cloudflare Workers and Remix 3, showing how to embed an interactive calculator widget in the AI chat interface. The project includes a complete MCP server implementation, state management, and widget communication system, and a hidden Easter egg in the TRON style is specially designed.

Obtain the user's geolocation through EdgeOne Pages Functions and integrate it with large models

A distributed federated AI service runtime system supporting edge computing, providing a standardized protocol and a secure architecture to achieve cross-organizational AI system integration

JetsonMCP is an MCP server that manages NVIDIA Jetson Nano edge computing devices through SSH connections, providing AI workload optimization, hardware configuration, and system management functions, and supporting the conversion of natural language instructions into professional operation commands.

JetsonMCP is an MCP server that helps AI assistants manage and optimize the NVIDIA Jetson Nano edge computing system through SSH connection, providing functions for AI workload deployment, hardware optimization, and system management.

This project demonstrates how to obtain user geolocation information through EdgeOne Pages Functions and integrate it with large language models using the MCP protocol.