# AI interaction

A message context protocol server integrating Apache Kafka, providing publishing and consuming functions for LLM and agent applications.

A project that implements Server-Sent Events (SSE) based on the FastAPI framework, integrating the Model Context Protocol (MCP) function and providing a standardized interface for AI models to interact with external tools.

KognitiveKompanion is a modern and multi-functional AI interaction interface that supports desktop environments such as KDE and provides seamless integration with OpenAI, Ollama, and AMD Ryzen AI hardware acceleration.

Android-MCP is a lightweight open-source project that serves as a bridge between AI agents and Android devices. It enables real-world task operations such as app navigation, UI interaction, and automated testing through the MCP server, without relying on traditional computer vision or pre-set scripts.

React MCP is a service that implements the Model Context Protocol, providing Claude AI with the ability to interact with React applications, supporting the creation, running, and management of React projects, as well as file operations and terminal command execution.

The MCP startup project is an AI application development framework that includes a Python server - side and a TypeScript client - side, supporting the interaction between AI models and external tools/APIs, and providing functions such as document search and conversation management.

This project demonstrates how to use the MCP protocol to interact with OpenAI, Azure OpenAI, and GitHub models in Azure container applications. It provides a simple terminal application demonstration for interacting with the TODO list agent. The project includes core components such as the MCP host, client, server, LLM provider, Postgres database, and toolset.

Arcanna MCP Server is a service that interacts with Arcanna AI use cases through the Model Context Protocol (MCP), providing functions such as resource management, Python coding, event query, task management, feedback system, and health monitoring.

The AIStor MCP server is a service based on the Model Context Protocol (MCP) for interacting with AIStor object storage, supporting multiple operations including read - write, delete, management, and AI functions.

This project is a Python server that connects the Claude desktop application and Unreal Engine 5.3, enabling the creation and editing of 3D scenes through text instructions. It supports functions such as basic object generation, blueprint invocation, and scene operation.

The Wonderland Editor MCP plugin interacts with AI assistants via the SSE transport protocol to enhance the development workflow.

A MySQL database operation service based on the Model Context Protocol, providing a standardized interface for AI models to interact with MySQL databases, supporting functions such as querying, executing SQL, and managing table structures.

An implementation of the Model Context Protocol (MCP) in Java and the Spring framework, providing a standardized interface for interacting with AI models and supporting synchronous/asynchronous communication modes.

A WhatsApp integration server based on the MCP protocol, enabling direct interaction between AI assistants and WhatsApp through the Waha API, supporting message sending, contact management, and connection status checking.

An implementation of the MCP server for Magento 2 that enables AI assistants to interact with Magento stores through standardized interfaces, providing REST API integration, secure authentication, and tools for common operations.

BrowserTools MCP is a powerful browser monitoring and interaction tool that enables AI to perform intelligent analysis and operations on browsers through a Chrome extension and a local server.

An MCP server based on Playwright, providing browser automation capabilities for LLMs

The Square Model Context Protocol (MCP) Server project follows the MCP standard and provides AI assistants with the ability to interact with the Square Connect API. It supports local and remote deployment and includes a complete Square API service catalog.

MacPilot CLI is an open-source tool that allows large language models to interact with the macOS system through the MCP protocol, providing system operation functions.

The Dev Proxy MCP Server is a tool that provides Model Context Protocol (MCP) services for Dev Proxy, allowing AI assistants to interact with Dev Proxy functions through the MCP standard, including creating configurations, getting help, and discovering features.

Frida MCP is an MCP protocol implementation based on the Frida dynamic detection toolkit, providing AI systems with the ability to interact with mobile and desktop applications.

BrowserTools MCP is a powerful browser monitoring and interaction tool that enables AI applications to capture and analyze browser data through Chrome extensions and a local Node server, and is compatible with multiple MCP clients.

The GeoServer MCP Server is a server - side implementation of the Model Context Protocol (MCP) that connects large language models (LLMs) with the GeoServer REST API, enabling AI assistants to interact with geospatial data and services.

An MCP server based on TypeScript, designed for the interaction between LLM and the Obsidian knowledge base, providing functions such as file operations, search systems, and property management.

MCP Router is a Python toolkit for managing MCP servers and interacting with OpenRouter AI models, supporting multi-step workflow orchestration and intelligent task analysis.

The Nostr MCP Server is a server based on the Model Context Protocol (MCP) that enables AI models to interact with the Nostr protocol, achieving free speech interaction on the decentralized social network.

This is an MCP server plugin developed for Autodesk Fusion 360, enabling AI assistants to directly interact with Fusion 360 through the MCP protocol, achieving functions such as design information acquisition, element modification, and CAD task prompting.

The Bunnyshell MCP Server project implements an AI interaction interface with the Bunnyshell platform through the CLI

The Emlog MCP Server is an integrated service for the Emlog blog system based on the Model Context Protocol (MCP). It provides standardized interfaces for AI assistants to interact with the Emlog blog and supports functions such as article management, category retrieval, comment operations, and microblog posting.

Obsidian MCP is a tool that interacts with the Obsidian knowledge base through the Model Context Protocol, supporting AI assistants to read, write, and manipulate notes.