EdgeOne Pages MCP is a service that quickly deploys HTML content to EdgeOne Pages via the MCP protocol and obtains a public URL

A generative AI support plugin for Unreal Engine that integrates multiple cutting - edge LLM/GenAI model APIs, providing AI integration layer support in game development, including chat and structured output functions for models such as OpenAI, Claude, and Deepseek, and supporting the Model Control Protocol (MCP) to achieve advanced functions such as scene object control and blueprint generation.

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.

TG_MCP is a lightweight Python interface that exposes TigerGraph operations (queries, schemas, vertices, edges, UDFs, etc.) as structured tools and URI - based resources for MCP agents to use.

This project demonstrates how to use EdgeOne Pages Functions to obtain the user's geographical location information and integrate it with large language models through the MCP protocol.

EdgeOne Pages MCP is a service that quickly deploys HTML content to EdgeOne Pages via the MCP protocol and generates a publicly accessible URL.

MCP Bridge is a lightweight, LLM-independent RESTful proxy for connecting to multiple Model Context Protocol (MCP) servers and exposing their functions through a unified REST API. It solves the problem that platforms such as edge devices, mobile devices, and web browsers cannot efficiently run MCP servers, and provides optional risk-based execution levels, including security controls such as standard execution, confirmation workflows, and Docker isolation.

MCP speech synthesis server based on Edge-TTS

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

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

A TypeScript-based Gel Database MCP Server that simplifies database operations through EdgeQL queries and supports LLM agents to automatically learn schemas, write, and validate queries.

The OpenCV MCP Server is a Python - based computer vision service that provides OpenCV's image and video processing capabilities through the Model Context Protocol (MCP). It offers a full set of computer vision tools from basic image processing to advanced object detection for AI assistants and language models, including image processing, edge detection, face recognition, video analysis, and real - time object tracking.

This is an example implementation of a Model Context Protocol (MCP) server based on Server-Sent Events (SSE), designed for deployment on Netlify Edge Functions and providing real-time communication capabilities.

An image generation service based on the MCP protocol built on Cloudflare Workers

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.

The MCP Edge Search Server is a Python service that provides web search and content extraction functions for MCP clients (such as Claude Desktop), supporting Bing search and web text cleaning.

The Edgee MCP Server is a server designed for the Edgee API, providing functions such as organization management, project operations, component management, and user management, and achieving efficient operations through the Model Context Protocol.

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

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.

A TypeScript-based Gel Database MCP Server that simplifies database operations through EdgeQL queries, supports LLM agents to automatically learn the schema, write and validate queries, and provides natural language interaction capabilities.

The Edge Delta MCP Server is a server based on the Model Context Protocol, used for seamless integration with the Edge Delta API, enabling developers to build automation tools and AI applications to analyze observational data.

An intelligent chat application based on EdgeOne Pages Functions technology, implementing a complete MCP protocol workflow, including an interactive chat interface, high - performance edge functions, and an OpenAI - compatible API.

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