# AI interaction

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.

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.

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.

SwiftMCP is a Model Context Protocol (MCP) project implemented in Swift, including server and client components, used for the interaction between AI agents and Swift applications.

An MCP server that provides browser automation capabilities for AI models, enabling models such as Claude and Gemini to perform web browsing, searching, and interaction operations through natural language instructions.

The Unity MCP Server is a C# - based Model Context Protocol (MCP) service used to connect the Unity editor with external large - language models (LLM) or cloud - based AI agents to achieve real - time automation and intelligent interaction.

This project provides an MCP service for AI assistants to interact with the Mealie recipe database, supporting access through clients such as Claude Desktop.

An MCP service that provides MySQL database operations, supporting AI models to interact with MySQL databases through a standardized interface, including tools for querying, executing, and table management.

The Gemini MCP Server project implements the Model Context Protocol (MCP) service, enabling Claude Desktop to interact with Google's Gemini AI model. It provides full MCP protocol support, real - time response streaming, secure API key handling, and configurable model parameters, and is implemented in TypeScript.

The Anytype MCP Server is a service that implements the Model Context Protocol (MCP), allowing AI assistants to interact with the Anytype API through natural language. It transforms the OpenAPI specification of Anytype into MCP tools, enabling knowledge base management through conversations.

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.

This is a server - side project that implements the Model Context Protocol (MCP). It supports AI assistants to interact with external services and data sources, is compatible with AI assistants such as Claude, and provides task creation, debugging tools, and development guides.

Vibehacker Metasploit MCP is a FastMCP - based interface for connecting to the Metasploit framework, enabling AI agents to invoke Metasploit's functions, including exploitation, payload generation, target scanning, and session management.

A Model Context Protocol (MCP) server implemented for Microsoft OneNote, providing a standardized interface for AI language models to interact with OneNote and supporting management functions for notebooks, sections, and pages.

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

A Rubik's Cube solving server based on the MCP protocol, providing functions for AI agents to manipulate the Rubik's Cube, real-time 3D visualization, and solving process management.

This project demonstrates how to deploy a remote MCP server on Cloudflare Workers and implement the OAuth login function. It supports local development and debugging, connection testing through MCP Inspector, and integration into the Claude desktop application for using mathematical tools.

This project demonstrates how to set up a remote MCP server on Cloudflare Workers, including OAuth login functionality, supporting local development and cloud deployment, and enabling integration with the MCP inspector and the Claude desktop application.

This project demonstrates how to set up a remote MCP server on Cloudflare Workers and implement OAuth login functionality. It provides a complete process for local development, MCP Inspector connection, Claude desktop application integration, and deployment to Cloudflare.

The Starknet MCP Server is a server based on the Model Context Protocol that enables AI agents to interact with the Starknet blockchain, including querying data, managing wallets, and performing smart contract operations.

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.

An AI model interaction server built on FastAPI and the MCP protocol, providing standardized context interaction, modular design, and asynchronous processing capabilities, simplifying model deployment and management.

BrowserTools MCP is a powerful browser monitoring and interaction tool that enables in-depth interaction between AI and the browser through a Chrome extension and a local Node server. It supports multi-dimensional audits such as performance, SEO, and accessibility and is compatible with multiple MCP clients.

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

A simple MCP server that enables clients to interact with Claude and execute tool processes

This is a Shopify MCP server project that enables interaction between AI agents and Shopify stores through a standardized protocol, providing functions such as API integration, product management tools, and store data access.

The MCP client project is used for advanced interaction with AI models and services, supporting tool calls and server management.

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.

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.